A-curated-list-of-awesome-big-data-frameworks-ressources-and-other-awesomeness.-
A curated list of awesome big data frameworks, ressources and other awesomeness.
https://github.com/eric-erki/A-curated-list-of-awesome-big-data-frameworks-ressources-and-other-awesomeness.-
Last synced: 3 days ago
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Frameworks
- Bistro - general-purpose data processing engine for both batch and stream analytics. It is based on a novel data model, which represents data via *functions* and processes data via *column operations* as opposed to having only set operations in conventional approaches like MapReduce or SQL.
- IBM Streams - platform for distributed processing and real-time analytics. Integrates with many of the popular technologies in the Big Data ecosystem (Kafka, HDFS, Spark, etc.)
- Tigon - High Throughput Real-time Stream Processing Framework.
- Polyaxon - A platform for reproducible and scalable machine learning and deep learning.
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Graph Data Model
- GraphLab PowerGraph - a core C++ GraphLab API and a collection of high-performance machine learning and data mining toolkits built on top of the GraphLab API.
- Intel GraphBuilder - tools to construct large-scale graphs on top of Hadoop.
- AgensGraph - a new generation multi-model graph database for the modern complex data environment.
- MapGraph - Massively Parallel Graph processing on GPUs.
- Neo4j - graph database written entirely in Java.
- Titan - distributed graph database, built over Cassandra.
- NodeXL - A free, open-source template for Microsoft® Excel® 2007, 2010, 2013 and 2016 that makes it easy to explore network graphs.
- OrientDB - document and graph database.
- AgensGraph - a new generation multi-model graph database for the modern complex data environment.
- DGraph - A scalable, distributed, low latency, high throughput graph database aimed at providing Google production level scale and throughput, with low enough latency to be serving real time user queries, over terabytes of structured data.
- EliasDB - a lightweight graph based database that does not require any third-party libraries.
- GCHQ Gaffer - Gaffer by GCHQ is a framework that makes it easy to store large-scale graphs in which the nodes and edges have statistics.
- Google Cayley - open-source graph database.
- Gremlin - graph traversal Language.
- Infovore - RDF-centric Map/Reduce framework.
- Microsoft Graph Engine - a distributed in-memory data processing engine, underpinned by a strongly-typed in-memory key-value store and a general distributed computation engine.
- Phoebus - framework for large scale graph processing.
- Titan - distributed graph database, built over Cassandra.
- Twitter FlockDB - distributed graph database.
- Facebook TAO - TAO is the distributed data store that is widely used at facebook to store and serve the social graph.
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NewSQL Databases
- H-Store - is an experimental main-memory, parallel database management system that is optimized for on-line transaction processing (OLTP) applications.
- NuoDB - SQL/ACID compliant distributed database.
- Pivotal GemFire XD - Low-latency, in-memory, distributed SQL data store. Provides SQL interface to in-memory table data, persistable in HDFS.
- SAP HANA - is an in-memory, column-oriented, relational database management system.
- Sky - database used for flexible, high performance analysis of behavioral data.
- Map-D - GPU in-memory database, big data analysis and visualization platform.
- BayesDB - statistic oriented SQL database.
- CitusDB - scales out PostgreSQL through sharding and replication.
- FoundationDB - distributed database, inspired by F1.
- Google F1 - distributed SQL database built on Spanner.
- Google Spanner - globally distributed semi-relational database.
- InfiniSQL - infinity scalable RDBMS.
- Sky - database used for flexible, high performance analysis of behavioral data.
- Actian Ingres - commercially supported, open-source SQL relational database management system.
- ActorDB - a distributed SQL database with the scalability of a KV store, while keeping the query capabilities of a relational database.
- Cockroach - Scalable, Geo-Replicated, Transactional Datastore.
- Comdb2 - a clustered RDBMS built on optimistic concurrency control techniques.
- Haeinsa - linearly scalable multi-row, multi-table transaction library for HBase based on Percolator.
- InfiniSQL - infinity scalable RDBMS.
- NuoDB - SQL/ACID compliant distributed database.
- SenseiDB - distributed, realtime, semi-structured database.
- TiDB - TiDB is a distributed SQL database. Inspired by the design of Google F1.
- SenseiDB - distributed, realtime, semi-structured database.
- SymmetricDS - open source software for both file and database synchronization.
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Data Ingestion
- LinkedIn White Elephant - log aggregator and dashboard.
- Amazon Kinesis - real-time processing of streaming data at massive scale.
- Amazon Web Services Glue - serverless fully managed extract, transform, and load (ETL) service
- Apache NiFi - Apache NiFi is an integrated data logistics platform for automating the movement of data between disparate systems.
- Cloudera Morphlines - framework that help ETL to Solr, HBase and HDFS.
- Google Photon - geographically distributed system for joining multiple continuously flowing streams of data in real-time with high scalability and low latency.
- Kestrel - distributed message queue system.
- Alooma - data pipeline as a service enabling moving data sources such as MySQL into data warehouses.
- Facebook Scribe - streamed log data aggregator.
- Heka - open source stream processing software system.
- HIHO - framework for connecting disparate data sources with Hadoop.
- LinkedIn Kamikaze - utility package for compressing sorted integer arrays.
- Logstash - a tool for managing events and logs.
- Netflix Suro - log agregattor like Storm and Samza based on Chukwa.
- Pinterest Secor - is a service implementing Kafka log persistance.
- Skizze - sketch data store to deal with all problems around counting and sketching using probabilistic data-structures.
- StreamSets Data Collector - continuous big data ingest infrastructure with a simple to use IDE.
- Yahoo Pulsar - a distributed pub-sub messaging platform with a very flexible messaging model and an intuitive client API.
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Machine Learning
- Vowpal Wabbit - learning system sponsored by Microsoft and Yahoo!.
- Azure ML Studio - Cloud-based AzureML, R, Python Machine Learning platform
- DataVec - A vectorization and data preprocessing library for deep learning in Java and Scala. Part of the Deeplearning4j ecosystem.
- Deeplearning4j - Fast, open deep learning for the JVM (Java, Scala, Clojure). A neural network configuration layer powered by a C++ library. Uses Spark and Hadoop to train nets on multiple GPUs and CPUs.
- etcML - text classification with machine learning.
- GraphLab Create - A machine learning platform in Python with a broad collection of ML toolkits, data engineering, and deployment tools.
- MLbase - distributed machine learning libraries for the BDAS stack.
- MonkeyLearn - Text mining made easy. Extract and classify data from text.
- ND4J - A matrix library for the JVM. Numpy for Java.
- RL4J - Reinforcement learning for Java and Scala. Includes Deep-Q learning and A3C algorithms, and integrates with Open AI's Gym. Runs in the Deeplearning4j ecosystem.
- Sibyl - System for Large Scale Machine Learning at Google.
- Theano - A Python-focused machine learning library supported by the University of Montreal.
- Torch - A deep learning library with a Lua API, supported by NYU and Facebook.
- WEKA - suite of machine learning software.
- nupic - Numenta Platform for Intelligent Computing: a brain-inspired machine intelligence platform, and biologically accurate neural network based on cortical learning algorithms.
- brain - Neural networks in JavaScript.
- Concurrent Pattern - machine learning library for Cascading.
- convnetjs - Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
- Decider - Flexible and Extensible Machine Learning in Ruby.
- Etsy Conjecture - scalable Machine Learning in Scalding.
- Lambdo - defined (Python) functions.
- MLPNeuralNet - Fast multilayer perceptron neural network library for iOS and Mac OS X.
- ML Workspace - All-in-one web-based IDE specialized for machine learning and data science.
- scikit-learn - scikit-learn: machine learning in Python.
- Sibyl - System for Large Scale Machine Learning at Google.
- TensorFlow - Library from Google for machine learning using data flow graphs.
- Velox - System for serving machine learning predictions.
- BidMach - CPU and GPU-accelerated Machine Learning Library.
- WEKA - suite of machine learning software.
- H2O - statistical, machine learning and math runtime with Hadoop. R and Python.
- Keras - An intuitive neural net API inspired by Torch that runs atop Theano and Tensorflow.
- Cloudera Oryx - real-time large-scale machine learning.
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Benchmarking
- Intel HiBench - a Hadoop benchmark suite.
- Deeplearning4j Benchmarks
- Apache Hadoop Benchmarking - micro-benchmarks for testing Hadoop performances.
- Berkeley SWIM Benchmark - real-world big data workload benchmark.
- PUMA Benchmarking - benchmark suite for MapReduce applications.
- Yahoo Gridmix3 - Hadoop cluster benchmarking from Yahoo engineer team.
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Document Data Model
- MongoDB - Document-oriented database system.
- RavenDB - A transactional, open-source Document Database.
- RethinkDB - document database that supports queries like table joins and group by.
- Actian Versant - commercial object-oriented database management systems .
- jumboDB - document oriented datastore over Hadoop.
- Microsoft Azure DocumentDB - NoSQL cloud database service with protocol support for MongoDB
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System Deployment
- Brooklyn - library that simplifies application deployment and management.
- Buildoop - Similar to Apache BigTop based on Groovy language.
- Google Borg - job scheduling and monitoring system.
- Google Omega - job scheduling and monitoring system.
- Kubernetes - a system for automating deployment, scaling, and management of containerized applications.
- Apache Slider - is a YARN application to deploy existing distributed applications on YARN.
- Apache Slider - is a YARN application to deploy existing distributed applications on YARN.
- Brooklyn - library that simplifies application deployment and management.
- Buildoop - Similar to Apache BigTop based on Groovy language.
- Marathon - Mesos framework for long-running services.
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RDBMS
- MySQL
- PostgreSQL
- Teradata - high-performance MPP data warehouse platform.
- Oracle Database - object-relational database management system.
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Distributed Programming
- Apache APEX - a unified, enterprise platform for big data stream and batch processing.
- Apache Beam - an unified model and set of language-specific SDKs for defining and executing data processing workflows.
- Apache Gearpump - real-time big data streaming engine based on Akka.
- Apache MapReduce - programming model for processing large data sets with a parallel, distributed algorithm on a cluster.
- Apache Pig - high level language to express data analysis programs for Hadoop.
- Apache Twill - abstraction over YARN that reduces the complexity of developing distributed applications.
- Baidu Bigflow - an interface that allows for writing distributed computing programs providing lots of simple, flexible, powerful APIs to easily handle data of any scale.
- Cascalog - data processing and querying library.
- Cheetah - High Performance, Custom Data Warehouse on Top of MapReduce.
- DataTorrent StrAM - real-time engine is designed to enable distributed, asynchronous, real time in-memory big-data computations in as unblocked a way as possible, with minimal overhead and impact on performance.
- Google MapReduce - map reduce framework.
- Kite - is a set of libraries, tools, examples, and documentation focused on making it easier to build systems on top of the Hadoop ecosystem.
- Nokia Disco - MapReduce framework developed by Nokia.
- Pinterest Pinlater - asynchronous job execution system.
- Rackerlabs Blueflood - multi-tenant distributed metric processing system
- Stratosphere - general purpose cluster computing framework.
- Streamdrill - useful for counting activities of event streams over different time windows and finding the most active one.
- Wallaroo - The ultrafast and elastic data processing engine. Big or fast data - no fuss, no Java needed.
- Google Dataflow - create data pipelines to help themæingest, transform and analyze data.
- Facebook Peregrine - Map Reduce framework.
- Twitter TSAR - TimeSeries AggregatoR by Twitter.
- Cheetah - High Performance, Custom Data Warehouse on Top of MapReduce.
- AddThis Hydra - distributed data processing and storage system originally developed at AddThis.
- AMPLab SIMR - run Spark on Hadoop MapReduce v1.
- Concurrent Cascading - framework for data management/analytics on Hadoop.
- Damballa Parkour - MapReduce library for Clojure.
- Datasalt Pangool - alternative MapReduce paradigm.
- Kite - is a set of libraries, tools, examples, and documentation focused on making it easier to build systems on top of the Hadoop ecosystem.
- Netflix PigPen - map-reduce for Clojure which compiles to Apache Pig.
- Nokia Disco - MapReduce framework developed by Nokia.
- Pydoop - Python MapReduce and HDFS API for Hadoop.
- Ray - A fast and simple framework for building and running distributed applications.
- Rackerlabs Blueflood - multi-tenant distributed metric processing system
- Skale - High performance distributed data processing in NodeJS.
- Stratosphere - general purpose cluster computing framework.
- streamsx.topology - Libraries to enable building IBM Streams application in Java, Python or Scala.
- Tuktu - Easy-to-use platform for batch and streaming computation, built using Scala, Akka and Play!
- Twitter Heron - Heron is a realtime, distributed, fault-tolerant stream processing engine from Twitter replacing Storm.
- Twitter Scalding - Scala library for Map Reduce jobs, built on Cascading.
- Twitter Summingbird - Streaming MapReduce with Scalding and Storm, by Twitter.
- JAQL - declarative programming language for working with structured, semi-structured and unstructured data.
- AMPLab SIMR - run Spark on Hadoop MapReduce v1.
- Onyx - Distributed computation for the cloud.
- Pydoop - Python MapReduce and HDFS API for Hadoop.
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Distributed Filesystem
- BeeGFS - formerly FhGFS, parallel distributed file system.
- Google Colossus - distributed filesystem (GFS2).
- Google Megastore - scalable, highly available storage.
- GridGain - GGFS, Hadoop compliant in-memory file system.
- Microsoft Azure Data Lake Store - HDFS-compatible storage in Azure cloud
- Quantcast File System QFS - open-source distributed file system.
- Tahoe-LAFS - decentralized cloud storage system.
- Disco DDFS - distributed filesystem.
- Alluxio - reliable file sharing at memory speed across cluster frameworks.
- Ambry - a distributed object store that supports storage of trillion of small immutable objects as well as billions of large objects.
- Seaweed-FS - simple and highly scalable distributed file system.
- Baidu File System - distributed filesystem.
- Lustre file system - high-performance distributed filesystem.
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Key Map Data Model
- Distinguishing two major types of Column Stores
- Google BigTable - column-oriented distributed datastore.
- Google Cloud Datastore - is a fully managed, schemaless database for storing non-relational data over BigTable.
- Twitter Manhattan - real-time, multi-tenant distributed database for Twitter scale.
- ScyllaDB - column-oriented distributed datastore written in C++, totally compatible with Apache Cassandra.
- Distinguishing two major types of Column Stores
- Baidu Tera - an Internet-scale database, inspired by BigTable.
- InfiniDB - is accessed through a MySQL interface and use massive parallel processing to parallelize queries.
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Key-value Data Model
- Amazon DynamoDB - distributed key/value store, implementation of Dynamo paper.
- Ignite - is an in-memory key-value data store providing full SQL-compliant data access that can optionally be backed by disk storage.
- LinkedIn Krati - is a simple persistent data store with very low latency and high throughput.
- Linkedin Voldemort - distributed key/value storage system.
- Redis - in memory key value datastore.
- EventStore - distributed time series database.
- Badger - a fast, simple, efficient, and persistent key-value store written natively in Go.
- Bolt - an embedded key-value database for Go.
- BTDB - Key Value Database in .Net with Object DB Layer, RPC, dynamic IL and much more
- BuntDB - a fast, embeddable, in-memory key/value database for Go with custom indexing and geospatial support.
- Edis - is a protocol-compatible Server replacement for Redis.
- ElephantDB - Distributed database specialized in exporting data from Hadoop.
- HyperDex - a scalable, next generation key-value and document store with a wide array of features, including consistency, fault tolerance and high performance.
- Linkedin Voldemort - distributed key/value storage system.
- Oracle NoSQL Database - distributed key-value database by Oracle Corporation.
- Riak - a decentralized datastore.
- Storehaus - library to work with asynchronous key value stores, by Twitter.
- SummitDB - an in-memory, NoSQL key/value database, with disk persistance and using the Raft consensus algorithm.
- Tarantool - an efficient NoSQL database and a Lua application server.
- TiKV - a distributed key-value database powered by Rust and inspired by Google Spanner and HBase.
- Tile38 - a geolocation data store, spatial index, and realtime geofence, supporting a variety of object types including latitude/longitude points, bounding boxes, XYZ tiles, Geohashes, and GeoJSON
- TreodeDB - key-value store that's replicated and sharded and provides atomic multirow writes.
- Badger - a fast, simple, efficient, and persistent key-value store written natively in Go.
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Columnar Databases
- C-Store - column oriented DBMS.
- MonetDB - column store database.
- Amazon Redshift - Amazon's cloud offering, also based on a columnar datastore backend.
- EventQL - a distributed, column-oriented database built for large-scale event collection and analytics.
- ClickHouse - an open-source column-oriented database management system that allows generating analytical data reports in real time.
- EventQL - a distributed, column-oriented database built for large-scale event collection and analytics.
- Pivotal Greenplum - purpose-built, dedicated analytic data warehouse that offers a columnar engine as well as a traditional row-based one.
- Vertica - is designed to manage large, fast-growing volumes of data and provide very fast query performance when used for data warehouses.
- IndexR - an open-source columnar storage format for fast & realtime analytic with big data.
- LocustDB - an experimental analytics database aiming to set a new standard for query performance on commodity hardware.
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Interesting Papers
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2001 - 2010
- 2003 - **Google** - The Google File System.
- 2010 - **Facebook** - Finding a needle in Haystack: Facebook’s photo storage.
- 2010 - **AMPLab** - Spark: Cluster Computing with Working Sets.
- 2010 - **Google** - Large-scale Incremental Processing Using Distributed Transactions and Notifications base of Percolator and Caffeine.
- 2010 - **Google** - Dremel: Interactive Analysis of Web-Scale Datasets.
- 2010 - **Yahoo** - S4: Distributed Stream Computing Platform.
- 2009 - HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads.
- 2008 - **AMPLab** - Chukwa: A large-scale monitoring system.
- 2006 - **Google** - The Chubby lock service for loosely-coupled distributed systems.
- 2004 - **Google** - MapReduce: Simplied Data Processing on Large Clusters.
- 2010 - **Google** - Pregel: A System for Large-Scale Graph Processing.
- 2007 - **Amazon** - Dynamo: Amazon’s Highly Available Key-value Store.
- 2010 - **Google** - Large-scale Incremental Processing Using Distributed Transactions and Notifications base of Percolator and Caffeine.
- 2010 - **Yahoo** - S4: Distributed Stream Computing Platform.
- 2009 - HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads.
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2015 - 2016
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2013 - 2014
- 2014 - **Stanford** - Mining of Massive Datasets.
- 2013 - **AMPLab** - Presto: Distributed Machine Learning and Graph Processing with Sparse Matrices.
- 2013 - **AMPLab** - MLbase: A Distributed Machine-learning System.
- 2013 - **AMPLab** - Shark: SQL and Rich Analytics at Scale.
- 2013 - **AMPLab** - GraphX: A Resilient Distributed Graph System on Spark.
- 2013 - **Google** - HyperLogLog in Practice: Algorithmic Engineering of a State of The Art Cardinality Estimation Algorithm.
- 2013 - **Metamarkets** - Druid: A Real-time Analytical Data Store.
- 2013 - **Google** - F1: A Distributed SQL Database That Scales.
- 2013 - **Facebook** - Scaling Memcache at Facebook.
- 2013 - **Facebook** - Scuba: Diving into Data at Facebook.
- 2014 - **Stanford** - Mining of Massive Datasets.
- 2013 - **Google** - HyperLogLog in Practice: Algorithmic Engineering of a State of The Art Cardinality Estimation Algorithm.
- 2013 - **Metamarkets** - Druid: A Real-time Analytical Data Store.
- 2013 - **Google** - F1: A Distributed SQL Database That Scales.
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2011 - 2012
- 2012 - **Twitter** - The Unified Logging Infrastructure
- 2012 - **AMPLab** - Blink and It’s Done: Interactive Queries on Very Large Data.
- 2012 - **AMPLab** - Fast and Interactive Analytics over Hadoop Data with Spark.
- 2012 - **AMPLab** - Shark: Fast Data Analysis Using Coarse-grained Distributed Memory.
- 2012 - **Microsoft** - Paxos Replicated State Machines as the Basis of a High-Performance Data Store.
- 2012 - **AMPLab** - BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data.
- 2012 - **Google** - Processing a trillion cells per mouse click.
- 2012 - **Google** - Spanner: Google’s Globally-Distributed Database.
- 2011 - **AMPLab** - Scarlett: Coping with Skewed Popularity Content in MapReduce Clusters.
- 2011 - **AMPLab** - Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center.
- 2011 - **Google** - Megastore: Providing Scalable, Highly Available Storage for Interactive Services.
- 2012 - **Twitter** - The Unified Logging Infrastructure
- 2012 - **AMPLab** - BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data.
- 2012 - **Google** - Processing a trillion cells per mouse click.
- 2012 - **Microsoft** - Paxos Made Parallel.
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Time-Series Databases
- Axibase Time Series Database - Integrated time series database on top of HBase with built-in visualization, rule-engine and SQL support.
- InfluxDB - distributed time series database.
- M3DB - a distributed time series database that can be used for storing realtime metrics at long retention.
- Prometheus - a time series database and service monitoring system.
- Rhombus - series object store for Cassandra that handles all the complexity of building wide row indexes.
- IronDB - scalable, general-purpose time series database.
- Chronix - a time series storage built to store time series highly compressed and for fast access times.
- Cube - uses MongoDB to store time series data.
- Heroic - is a scalable time series database based on Cassandra and Elasticsearch.
- IronDB - scalable, general-purpose time series database.
- Kairosdb - similar to OpenTSDB but allows for Cassandra.
- Newts - a time series database based on Apache Cassandra.
- Beringei - Facebook's in-memory time-series database.
- Akumuli - series database. It can be used to capture, store and process time-series data in real-time. The word "akumuli" can be translated from esperanto as "accumulate".
- Dalmatiner DB
- Blueflood
- Timely
- VictoriaMetrics - fast, scalable and resource-effective open-source TSDB compatible with Prometheus. Single-node and cluster versions included
- Chronix - a time series storage built to store time series highly compressed and for fast access times.
- Druid
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SQL-like processing
- Actian SQL for Hadoop - high performance interactive SQL access to all Hadoop data.
- Apache HCatalog - table and storage management layer for Hadoop.
- Aster Database - SQL-like analytic processing for MapReduce.
- Dremio - an open-source, SQL-like Data-as-a-Service Platform based on Apache Arrow.
- Facebook PrestoDB - distributed SQL query engine.
- Spark Catalyst - is a Query Optimization Framework for Spark and Shark.
- Splice Machine - a full-featured SQL-on-Hadoop RDBMS with ACID transactions.
- Trafodion - enterprise-class SQL-on-HBase solution targeting big data transactional or operational workloads.
- Cloudera Impala - framework for interactive analysis, Inspired by Dremel.
- PipelineDB - an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables.
- Actian SQL for Hadoop - high performance interactive SQL access to all Hadoop data.
- Concurrent Lingual - SQL-like query language for Cascading.
- PipelineDB - an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables.
- Pivotal HDB - SQL-like data warehouse system for Hadoop.
- RainstorDB - database for storing petabyte-scale volumes of structured and semi-structured data.
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Scheduling
- Linkedin Azkaban - batch workflow job scheduler.
- Azure Data Factory - cloud-based pipeline orchestration for on-prem, cloud and HDInsight
- Apache Airflow - a platform to programmatically author, schedule and monitor workflows.
- Chronos - distributed and fault-tolerant scheduler.
- Schedoscope - Scala DSL for agile scheduling of Hadoop jobs.
- Sparrow - scheduling platform.
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Service Programming
- Google Chubby - a lock service for loosely-coupled distributed systems.
- OpenMPI - message passing framework.
- Hydrosphere Mist - a service for exposing Apache Spark analytics jobs and machine learning models as realtime, batch or reactive web services.
- Spotify Luigi - a Python package for building complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization, handling failures, command line integration, and much more.
- Spring XD - distributed and extensible system for data ingestion, real time analytics, batch processing, and data export.
- Twitter Elephant Bird - libraries for working with LZOP-compressed data.
- Twitter Finagle - asynchronous network stack for the JVM.
- Serf - decentralized solution for service discovery and orchestration.
- Spring XD - distributed and extensible system for data ingestion, real time analytics, batch processing, and data export.
- Mara - A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
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Applications
- Apache Kiji - framework to collect and analyze data in real-time, based on HBase.
- Apache Tika - content analysis toolkit.
- HIPI Library - API for performing image processing tasks on Hadoop's MapReduce.
- Hunk - Splunk analytics for Hadoop.
- Imhotep - Large scale analytics platform by indeed.
- Indicative - Web & mobile analytics tool, with data warehouse (AWS, BigQuery) integration.
- Jupyter - Notebook and project application for interactive data science and scientific computing across all programming languages.
- Qubole - auto-scaling Hadoop cluster, built-in data connectors.
- Sense - Cloud Platform for Data Science and Big Data Analytics.
- Splunk - analyzer for machine-generated data.
- Sumo Logic - cloud based analyzer for machine-generated data.
- 411 - an web application for alert management resulting from scheduled searches into Elasticsearch.
- Adobe spindle - Next-generation web analytics processing with Scala, Spark, and Parquet.
- Argus - Time series monitoring and alerting platform.
- AthenaX - a streaming analytics platform that enables users to run production-quality, large scale streaming analytics using Structured Query Language (SQL).
- Atlas - a backend for managing dimensional time series data.
- Eclipse BIRT - Eclipse-based reporting system.
- ElastAert - ElastAlert is a simple framework for alerting on anomalies, spikes, or other patterns of interest from data in ElasticSearch.
- Eventhub - open source event analytics platform.
- Hermes - asynchronous message broker built on top of Kafka.
- Hunk - Splunk analytics for Hadoop.
- Kapacitor - an open source framework for processing, monitoring, and alerting on time series data.
- PivotalR - R on Pivotal HD / HAWQ and PostgreSQL.
- SnappyData - a distributed in-memory data store for real-time operational analytics, delivering stream analytics, OLTP (online transaction processing) and OLAP (online analytical processing) built on Spark in a single integrated cluster.
- Snowplow - enterprise-strength web and event analytics, powered by Hadoop, Kinesis, Redshift and Postgres.
- SparkR - R frontend for Spark.
- Rakam - open-source real-time custom analytics platform powered by Postgresql, Kinesis and PrestoDB.
- SparkR - R frontend for Spark.
- Warp - query by example tool for big data (OS X app)
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Search engine and framework
- ElasticSearch - Search and analytics engine based on Apache Lucene.
- Enigma.io
- Facebook Unicorn - social graph search platform.
- Lily HBase Indexer - quickly and easily search for any content stored in HBase.
- LinkedIn Galene - search architecture at LinkedIn.
- Sphinx Search Server - fulltext search engine.
- Elassandra - is a fork of Elasticsearch modified to run on top of Apache Cassandra in a scalable and resilient peer-to-peer architecture.
- LinkedIn Bobo - is a Faceted Search implementation written purely in Java, an extension to Apache Lucene.
- LinkedIn Cleo - is a flexible software library for enabling rapid development of partial, out-of-order and real-time typeahead search.
- LinkedIn Zoie - is a realtime search/indexing system written in Java.
- MG4J - MG4J (Managing Gigabytes for Java) is a full-text search engine for large document collections written in Java. It is highly customisable, high-performance and provides state-of-the-art features and new research algorithms.
- Sphinx Search Server - fulltext search engine.
- Facebook Faiss - is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy.
- Annoy - is a C++ library with Python bindings to search for points in space that are close to a given query point. It also creates large read-only file-based data structures that are mmapped into memory so that many processes may share the same data.
- LinkedIn Bobo - is a Faceted Search implementation written purely in Java, an extension to Apache Lucene.
- LinkedIn Cleo - is a flexible software library for enabling rapid development of partial, out-of-order and real-time typeahead search.
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MySQL forks and evolutions
- Amazon RDS - MySQL databases in Amazon's cloud.
- Drizzle - evolution of MySQL 6.0.
- MariaDB - enhanced, drop-in replacement for MySQL.
- MySQL Cluster - MySQL implementation using NDB Cluster storage engine.
- TokuDB - TokuDB is a storage engine for MySQL and MariaDB.
- WebScaleSQL - is a collaboration among engineers from several companies that face similar challenges in running MySQL at scale.
- Drizzle - evolution of MySQL 6.0.
- Percona Server - enhanced, drop-in replacement for MySQL.
- ProxySQL - High Performance Proxy for MySQL.
- WebScaleSQL - is a collaboration among engineers from several companies that face similar challenges in running MySQL at scale.
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PostgreSQL forks and evolutions
- RecDB - Open Source Recommendation Engine Built Entirely Inside PostgreSQL.
- Stado - open source MPP database system solely targeted at data warehousing and data mart applications.
- Yahoo Everest - multi-peta-byte database / MPP derived by PostgreSQL.
- Postgres-XL - Scalable Open Source PostgreSQL-based Database Cluster.
- HadoopDB - hybrid of MapReduce and DBMS.
- IBM Netezza - high-performance data warehouse appliances.
-
Business Intelligence
- BIME Analytics - business intelligence platform in the cloud.
- GoodData - platform for data products and embedded analytics.
- Jaspersoft - powerful business intelligence suite.
- Jedox Palo - customisable Business Intelligence platform.
- Jethrodata - Interactive Big Data Analytics.
- Microstrategy - software platforms for business intelligence, mobile intelligence, and network applications.
- Redash - Open source business intelligence platform, supporting multiple data sources and planned queries.
- Knowage - open source business intelligence platform. (former [SpagoBi](http://www.spagobi.org/))
- SparklineData SNAP - modern B.I platform powered by Apache Spark.
- Tableau - business intelligence platform.
- Microsoft - business intelligence software and platform.
- Blazer - business intelligence made simple.
- Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company.
- Numeracy - Fast, clean SQL client and business intelligence.
- Pentaho - business intelligence platform.
- Saiku - open source analytics platform.
- Zoomdata - Big Data Analytics.
-
Data Visualization
- chartd - responsive, retina-compatible charts with just an img tag.
- D3 - javaScript library for manipulating documents.
- DevExtreme React Chart - High-performance plugin-based React chart for Bootstrap and Material Design.
- FnordMetric - write SQL queries that return SVG charts rather than tables
- Grafana - graphite dashboard frontend, editor and graph composer.
- Graphite - scalable Realtime Graphing.
- Highcharts - simple and flexible charting API.
- Metricsgraphic.js - a library built on top of D3 that is optimized for time-series data
- Zing Charts - JavaScript charting library for big data.
- Lumify - open source big data analysis and visualization platform
- Echarts - Baidus enterprise charts.
- Airpal - Web UI for PrestoDB.
- Arbor - graph visualization library using web workers and jQuery.
- Banana - visualize logs and time-stamped data stored in Solr. Port of Kibana.
- Bloomery - Web UI for Impala.
- CartoDB - open-source or freemium hosting for geospatial databases with powerful front-end editing capabilities and a robust API.
- chartd - responsive, retina-compatible charts with just an img tag.
- Chartist.js - another open source HTML5 Charts visualization.
- Crossfilter - JavaScript library for exploring large multivariate datasets in the browser. Works well with dc.js and d3.js.
- Cubism - JavaScript library for time series visualization.
- DC.js - Dimensional charting built to work natively with crossfilter rendered using d3.js. Excellent for connecting charts/additional metadata to hover events in D3.
- D3.compose - Compose complex, data-driven visualizations from reusable charts and components.
- Envisionjs - dynamic HTML5 visualization.
- Frappe Charts - GitHub-inspired simple and modern SVG charts for the web with zero dependencies.
- Freeboard - pen source real-time dashboard builder for IOT and other web mashups.
- Gephi - An award-winning open-source platform for visualizing and manipulating large graphs and network connections. It's like Photoshop, but for graphs. Available for Windows and Mac OS X.
- Google Charts - simple charting API.
- Kibana - visualize logs and time-stamped data
- Matplotlib - plotting with Python.
- Peity - Progressive SVG bar, line and pie charts.
- Plotly.js
- Redash - open-source platform to query and visualize data.
- Sigma.js - JavaScript library dedicated to graph drawing.
- Vega - a visualization grammar.
- Zeppelin - a notebook-style collaborative data analysis.
- Crossfilter - JavaScript library for exploring large multivariate datasets in the browser. Works well with dc.js and d3.js.
- Recline - simple but powerful library for building data applications in pure Javascript and HTML.
- Superset - a data exploration platform designed to be visual, intuitive and interactive, making it easy to slice, dice and visualize data and perform analytics at the speed of thought.
-
Internet of things and sensor data
- Apache Edgent (Incubating) - a programming model and micro-kernel style runtime that can be embedded in gateways and small footprint edge devices enabling local, real-time, analytics on the edge devices.
- TempoIQ - Cloud-based sensor analytics.
- Pubnub - Data stream network
- IFTTT - If this then that
- Evrything - Making products smart
- NetLytics - Analytics platform to process network data on Spark.
- Azure IoT Hub - Cloud-based bi-directional monitoring and messaging hub
- ThingWorx - Rapid development and connection of intelligent systems
- NetLytics - Analytics platform to process network data on Spark.
-
Interesting Readings
- Big Data Benchmark - Benchmark of Redshift, Hive, Shark, Impala and Stiger/Tez.
- Monitoring Cassandra performance - Guide to monitoring Cassandra, including native methods for metrics collection.
- Monitoring Kafka performance - Guide to monitoring Apache Kafka, including native methods for metrics collection.
- Monitoring Hadoop performance - Guide to monitoring Hadoop, with an overview of Hadoop architecture, and native methods for metrics collection.
-
Videos
-
2001 - 2010
- Machine Learning, Data Science and Deep Learning with Python - LiveVideo tutorial that covers machine learning, Tensorflow, artificial intelligence, and neural networks.
- Spark in Motion - Spark in Motion teaches you how to use Spark for batch and streaming data analytics.
-
-
Books
-
2001 - 2010
- Streaming Data - Streaming Data introduces the concepts and requirements of streaming and real-time data systems.
- Storm Applied - Storm Applied is a practical guide to using Apache Storm for the real-world tasks associated with processing and analyzing real-time data streams.
- Fundamentals of Stream Processing: Application Design, Systems, and Analytics - This comprehensive, hands-on guide combining the fundamental building blocks and emerging research in stream processing is ideal for application designers, system builders, analytic developers, as well as students and researchers in the field.
- Stream Data Processing: A Quality of Service Perspective - Presents a new paradigm suitable for stream and complex event processing.
- Unified Log Processing - Unified Log Processing is a practical guide to implementing a unified log of event streams (Kafka or Kinesis) in your business
- Kafka Streams in Action - Kafka Streams in Action teaches you everything you need to know to implement stream processing on data flowing into your Kafka platform, allowing you to focus on getting more from your data without sacrificing time or effort.
- Big Data - Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data.
- Spark in Action - in-action-second-edition) - Spark in Action teaches you the theory and skills you need to effectively handle batch and streaming data using Spark. Fully updated for Spark 2.0.
- Kafka in Action - Kafka in Action is a fast-paced introduction to every aspect of working with Kafka you need to really reap its benefits.
- Fusion in Action - Fusion in Action teaches you to build a full-featured data analytics pipeline, including document and data search and distributed data clustering.
- Reactive Data Handling - Reactive Data Handling is a collection of five hand-picked chapters, selected by Manuel Bernhardt, that introduce you to building reactive applications capable of handling real-time processing with large data loads--free eBook!
- Distributed Systems for fun and profit
- Graph-Powered Machine Learning - Alessandro Negro. Combine graph theory and models to improve machine learning projects
-
Data Visualization
- The beauty of data visualization
- Designing Data Visualizations with Noah Iliinsky
- Hans Rosling's 200 Countries, 200 Years, 4 Minutes
- Ice Bucket Challenge Data Visualization
- awesome-awesomeness
- awesome-public-datasets
- awesome
- list
- awesome-awesome-awesome
- awesome-analytics
- awesome-graph-classification
- awesome-network-embedding
- awesome-community-detection
- awesome-decision-tree-papers
- awesome-fraud-detection-papers
- awesome-gradient-boosting-papers
- awesome-kafka
-
-
Embedded Databases
- Actian PSQL - ACID-compliant DBMS developed by Pervasive Software, optimized for embedding in applications.
- HanoiDB - Erlang LSM BTree Storage.
- LevelDB - a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
-
Security
-
Distributed Index
-
Memcached forks and evolutions
- Twemproxy - A fast, light-weight proxy for memcached and redis.
- Twitter Fatcache - key/value cache for flash storage.
- Twitter Twemcache - fork of Memcache.
Programming Languages
Categories
Interesting Papers
46
Distributed Programming
44
Data Visualization
38
Machine Learning
32
Books
30
Applications
29
NewSQL Databases
24
Key-value Data Model
23
Graph Data Model
20
Time-Series Databases
20
Data Ingestion
18
Business Intelligence
17
Search engine and framework
16
SQL-like processing
15
Distributed Filesystem
13
Service Programming
10
Columnar Databases
10
System Deployment
10
MySQL forks and evolutions
10
Internet of things and sensor data
9
Key Map Data Model
8
PostgreSQL forks and evolutions
6
Scheduling
6
Benchmarking
6
Document Data Model
6
Interesting Readings
4
RDBMS
4
Frameworks
4
Embedded Databases
3
Memcached forks and evolutions
3
Security
2
Videos
2
Distributed Index
1
Sub Categories
Keywords
database
15
machine-learning
9
python
8
data-science
8
deep-learning
7
go
6
analytics
6
visualization
5
graph
5
data-visualization
5
mysql
4
data-analysis
4
geospatial
4
tensorflow
4
spark
4
sql
4
awesome-list
4
awesome
4
time-series
4
gradient-boosting
3
graph-database
3
big-data
3
distributed
3
classifier
3
random-forest
3
pytorch
3
kafka
3
metrics
3
java
3
business-intelligence
3
nosql
3
kubernetes
3
data
3
golang
3
in-memory
3
c-plus-plus
3
data-mining
2
catboost
2
graph-classification
2
javascript
2
tsdb
2
lua
2
node2vec
2
ml
2
d3
2
classification-algorithm
2
hbase
2
webgl
2
hadoop
2
timeseries-database
2