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awesome-dataops

:sunglasses: A curated list of awesome DataOps tools
https://github.com/kelvins/awesome-dataops

Last synced: 3 days ago
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  • Data Catalog

    • Amundsen - Data discovery and metadata engine for improving the productivity when interacting with data.
    • Apache Atlas - Provides open metadata management and governance capabilities to build a data catalog.
    • DataHub - LinkedIn's generalized metadata search & discovery tool.
    • OpenMetadata - A Single place to discover, collaborate and get your data right.
    • CKAN - Open-source DMS (data management system) for powering data hubs and data portals.
    • DataHub - LinkedIn's generalized metadata search & discovery tool.
    • Magda - A federated, open-source data catalog for all your big data and small data.
    • Unity Catalog - Industry’s only universal catalog for data and AI.
  • Data Exploration

    • Apache Zeppelin - Enables data-driven, interactive data analytics and collaborative documents.
    • Jupyter Notebook - Web-based notebook environment for interactive computing.
    • JupyterLab - The next-generation user interface for Project Jupyter.
    • Polynote - The polyglot notebook with first-class Scala support.
    • Jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts.
  • Data Ingestion

    • Amazon Kinesis - Easily collect, process, and analyze video and data streams in real time.
    • Google PubSub - Ingest events for streaming into BigQuery, data lakes or operational databases.
    • RabbitMQ - One of the most popular open source message brokers.
    • Apache Gobblin - A framework that simplifies common aspects of big data such as data ingestion.
    • Apache Kafka - Open-source distributed event streaming platform used by thousands of companies.
    • Apache Pulsar - Distributed pub-sub messaging platform with a flexible messaging model and intuitive API.
    • Embulk - A parallel bulk data loader that helps data transfer between various storages.
    • Fluentd - Collects events from various data sources and writes them to files.
    • Nakadi - A distributed event bus that implements a RESTful API abstraction on top of Kafka-like queues.
    • Pravega - An open source distributed storage service implementing Streams.
  • Data Workflow

    • Prefect - A workflow management system, designed for modern infrastructure.
    • Luigi - Python module that helps you build complex pipelines of batch jobs.
    • Apache Airflow - A platform to programmatically author, schedule, and monitor workflows.
    • Apache Oozie - An extensible, scalable and reliable system to manage complex Hadoop workloads.
    • Azkaban - Batch workflow job scheduler created at LinkedIn to run Hadoop jobs.
    • Dagster - An orchestration platform for the development, production, and observation of data assets.
  • Data Processing

    • Apache Hadoop MapReduce - A framework for writing applications which process vast amounts of data.
    • Apache Beam - A unified model for defining both batch and streaming data-parallel processing pipelines.
    • Apache Flink - An open source stream processing framework with powerful capabilities.
    • Apache Nifi - An easy to use, powerful, and reliable system to process and distribute data.
    • Apache Samza - A distributed stream processing framework which uses Apache Kafka and Hadoop YARN.
    • Apache Spark - A unified analytics engine for large-scale data processing.
    • Apache Storm - An open source distributed realtime computation system.
    • Apache Tez - A generic data-processing pipeline engine envisioned as a low-level engine.
    • Faust - A stream processing library, porting the ideas from Kafka Streams to Python.
  • Data Quality

    • Great Expectations - A Python data validation framework that allows to test your data against datasets.
    • JSON Schema - A vocabulary that allows you to annotate and validate JSON documents.
    • Cerberus - Lightweight, extensible data validation library for Python.
    • Cleanlab - Data-centric AI tool to detect (non-predefined) issues in ML data like label errors or outliers.
    • DataProfiler - A Python library designed to make data analysis, monitoring, and sensitive data detection easy.
    • Deequ - A library built on top of Apache Spark for measuring data quality in large datasets.
    • SodaSQL - Data profiling, testing, and monitoring for SQL accessible data.
  • Data Visualization

    • Data Table Format

      • Count - SQL/drag-and-drop querying and visualisation tool based on notebooks.
      • Data Studio - Reporting solution for power users who want to go beyond the data and dashboards of GA.
      • Metabase - The simplest, fastest way to get business intelligence and analytics to everyone.
      • Redash - Connect to any data source, easily visualize, dashboard and share your data.
      • Apache Superset - A modern data exploration and data visualization platform.
      • Dash - Analytical Web Apps for Python, R, Julia, and Jupyter.
      • HUE - A mature SQL Assistant for querying Databases & Data Warehouses.
      • Lux - Fast and easy data exploration by automating the visualization and data analysis process.
      • Tableau - Powerful and fastest growing data visualization tool used in the business intelligence industry.
  • Data Warehouse

    • Data Table Format

      • Amazon Redshift - Accelerate your time to insights with fast, easy, and secure cloud data warehousing.
      • Google BigQuery - Serverless, highly scalable, and cost-effective multicloud data warehouse.
      • Apache Hive - Facilitates reading, writing, and managing large datasets residing in distributed storage.
      • Apache Kylin - An open source, distributed analytical data warehouse for big data.
  • Database

    • Columnar Database

      • Scylla - Designed to be compatible with Cassandra while achieving higher throughputs and lower latencies.
      • Apache Cassandra - Open source column based DBMS designed to handle large amounts of data.
      • Apache Druid - Designed to quickly ingest massive quantities of event data, and provide low-latency queries.
      • Apache HBase - An open-source, distributed, versioned, column-oriented store.
      • Scylla - Designed to be compatible with Cassandra while achieving higher throughputs and lower latencies.
    • Key-Value Database

      • DynamoDB - Fast, flexible NoSQL database service for single-digit millisecond performance at any scale.
      • Apache Accumulo - A sorted, distributed key-value store that provides robust and scalable data storage.
      • Dragonfly - A modern in-memory datastore, fully compatible with Redis and Memcached APIs.
      • etcd - Distributed reliable key-value store for the most critical data of a distributed system.
      • EVCache - A distributed in-memory data store for the cloud.
      • Memcached - A high performance multithreaded event-based key/value cache store.
      • Redis - An in-memory key-value database that persists on disk.
    • Vector Database

      • Pinecone - Managed and distributed vector similarity search used with a lightweight SDK.
      • Qdrant - An open source vector similarity search engine with extended filtering support.
    • Document-Oriented Database

      • Apache CouchDB - An open-source document-oriented NoSQL database, implemented in Erlang.
      • Elasticsearch - A distributed document oriented database with a RESTful search engine.
      • MongoDB - A cross-platform document database that uses JSON-like documents with optional schemas.
      • RethinkDB - The first open-source scalable database built for realtime applications.
    • Graph Database

      • ArangoDB - A scalable open-source multi-model database natively supporting graph, document and search.
      • Memgraph - An open source graph database, built for real-time streaming data, compatible with Neo4j.
      • Neo4j - A high performance graph store with all the features expected of a mature and robust database.
      • Titan - A highly scalable graph database optimized for storing and querying large graphs.
    • Relational Database

      • CockroachDB - A distributed database designed to build, scale, and manage data-intensive apps.
      • Crate - A distributed SQL database that makes it simple to store and analyze massive amounts of data.
      • MariaDB - A replacement of MySQL with more features, new storage engines and better performance.
      • MySQL - One of the most popular open source transactional databases.
      • PostgreSQL - An advanced RDBMS that supports an extended subset of the SQL standard.
      • RQLite - A lightweight, distributed relational database, which uses SQLite as its storage engine.
      • SQLite - A popular choice as embedded database software for local/client storage.
    • Time Series Database

      • Akumuli - Can be used to capture, store and process time-series data in real-time.
      • Atlas - An in-memory dimensional time series database.
      • InfluxDB - Scalable datastore for metrics, events, and real-time analytics.
      • QuestDB - An open source SQL database designed to process time series data, faster.
      • TimescaleDB - Open-source time-series SQL database optimized for fast ingest and complex queries.
  • File System

    • Vector Database

      • Amazon Simple Storage Service (S3) - Object storage built to retrieve any amount of data from anywhere.
      • Apache Hadoop Distributed File System (HDFS) - A distributed file system.
      • Google Cloud Storage (GCS) - Object storage for companies of all sizes, to store any amount of data.
      • SeaweedFS - A fast distributed storage system for blobs, objects, files, and data lake.
      • Alluxio - A virtual distributed storage system.
      • GlusterFS - A software defined distributed storage that can scale to several petabytes.
      • LakeFS - Open source tool that transforms your object storage into a Git-like repository.
      • LizardFS - A highly reliable, scalable and efficient distributed file system.
      • MinIO - High Performance, Kubernetes Native Object Storage compatible with Amazon S3 API.
      • SeaweedFS - A fast distributed storage system for blobs, objects, files, and data lake.
      • Swift - A distributed object storage system designed to scale from a single machine to thousands of servers.
  • Metadata Service

    • Vector Database

      • Hive Metastore - Service that stores metadata related to Apache Hive and other services.
      • Metacat - Provides you information about what data you have, where it resides and how to process it.
  • SQL Query Engine

    • Vector Database

      • Dremio - Power high-performing BI dashboards and interactive analytics directly on data lake.
      • Apache Drill - Schema-free SQL Query Engine for Hadoop, NoSQL and Cloud Storage.
      • Apache Impala - Lightning-fast, distributed SQL queries for petabytes of data.
      • Presto - A distributed SQL query engine for big data.
      • Trino - A fast distributed SQL query engine for big data analytics.
  • Books

  • Other Lists

  • Slack

  • Data Serialization

      • Apache Avro - A data serialization system which is compact, fast and provides rich data structures.
      • Apache ORC - A self-describing type-aware columnar file format designed for Hadoop workloads.
      • Kryo - A fast and efficient binary object graph serialization framework for Java.
      • ProtoBuf - Language-neutral, platform-neutral, extensible mechanism for serializing structured data.
    • Data Compression

      • Pigz - A parallel implementation of gzip for modern multi-processor, multi-core machines.
      • Snappy - Open source compression library that is fast, stable and robuts.
    • Data Table Format

      • Apache Hudi - Manages the storage of large analytical datasets on DFS.
      • Apache Iceberg - Open table format for huge analytic datasets.
      • Delta Lake - An open source project that enables building a Lakehouse architecture on top of data lakes.
  • Logging and Monitoring

    • Vector Database

      • Grafana - Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, InfluxDB and more.
      • Loki - A horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by Prometheus.
      • Prometheus - A monitoring system and time series database.
      • Whylogs - A tool for creating data logs, enabling monitoring for data drift and data quality issues.