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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: 4 days ago
JSON representation
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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.
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Applications
- Talend - unified open source environment for YARN, Hadoop, HBASE, Hive, HCatalog & Pig.
- 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.
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Graph Data Model
- 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.
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Document Data Model
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NewSQL Databases
- 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.
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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 YARN - Cluster manager.
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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.
- Google MillWheel - fault tolerant stream processing 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.
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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.
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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.
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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.
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Columnar Databases
- C-Store - column oriented DBMS.
- MonetDB - column store database.
- Vertica - is designed to manage large, fast-growing volumes of data and provide very fast query performance when used for data warehouses.
- 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.
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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.
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2015 - 2016
- 2015 - **Facebook** - One Trillion Edges: Graph Processing at Facebook-Scale.
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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.
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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 - **AMPLab** - BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data.
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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.
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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.
- Google BigQuery - framework for interactive analysis, implementation of Dremel.
- 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.
- Datasalt Splout SQL - full SQL query engine for big datasets.
- Cloudera Impala - framework for interactive analysis, Inspired by Dremel.
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Benchmarking
- 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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Scheduling
- Linkedin Azkaban - batch workflow job scheduler.
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Data Ingestion
- 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.
- StreamSets Data Collector - continuous big data ingest infrastructure with a simple to use IDE.
- Alooma - data pipeline as a service enabling moving data sources such as MySQL into data warehouses.
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Service Programming
- Google Chubby - a lock service for loosely-coupled distributed systems.
- OpenMPI - message passing framework.
- Serf - decentralized solution for service discovery and orchestration.
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Machine Learning
- Azure ML Studio - Cloud-based AzureML, R, Python Machine Learning platform
- Cloudera Oryx - real-time large-scale machine learning.
- 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.
- WEKA - suite of machine learning software.
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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.
- Google Percolator - continuous indexing system.
- 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.
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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.
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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.
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Embedded Databases
- LMDB - ultra-fast, ultra-compact key-value embedded data store developed by Symas.
- Actian PSQL - ACID-compliant DBMS developed by Pervasive Software, optimized for embedding in applications.
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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.
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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
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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
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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.
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Videos
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2001 - 2010
- Spark in Motion - Spark in Motion teaches you how to use Spark for batch and streaming data analytics.
- Machine Learning, Data Science and Deep Learning with Python - LiveVideo tutorial that covers machine learning, Tensorflow, artificial intelligence, and neural networks.
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Books
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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
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Data Visualization
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Categories
Interesting Papers
33
Distributed Programming
22
Books
19
Machine Learning
15
Applications
12
SQL-like processing
11
NewSQL Databases
11
Data Visualization
10
Business Intelligence
10
Data Ingestion
8
Search engine and framework
7
Distributed Filesystem
7
MySQL forks and evolutions
6
System Deployment
6
Columnar Databases
5
Time-Series Databases
5
Internet of things and sensor data
5
Key-value Data Model
5
Benchmarking
5
Graph Data Model
5
PostgreSQL forks and evolutions
4
Key Map Data Model
4
RDBMS
4
Service Programming
3
Document Data Model
3
Videos
2
Interesting Readings
2
Embedded Databases
2
Scheduling
1
Frameworks
1
Sub Categories