A curated list of awesome DataOps tools.

• Awesome DataOps
  • Data Catalog
  • Data Exploration
  • Data Ingestion
  • Data Processing
  • Data Quality
  • Data Serialization
    • Data Compression
    • Data Table Format
  • Data Visualization
  • Data Warehouse
  • Data Workflow
  • Database
    • Columnar Database
    • Document-Oriented Database
    • Graph Database
    • Key-Value Database
    • Relational Database
    • Time Series Database
    • Vector Database
  • File System
  • Logging and Monitoring
  • Metadata Service
  • SQL Query Engine
• Resources
  • Books
  • Other Lists
  • Slack
• Contributing

Tools related to data cataloging.

• 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.
• 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.
• Metacat - Unified metadata exploration API service for Hive, RDS, Teradata, Redshift, S3 and Cassandra.
• OpenMetadata - A Single place to discover, collaborate and get your data right.
• Unity Catalog - Industry’s only universal catalog for data and AI.

Tools for performing 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.
• Jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts.
• Polynote - The polyglot notebook with first-class Scala support.

Tools for performing data ingestion.

• Amazon Kinesis - Easily collect, process, and analyze video and data streams in real time.
• 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.
• Google PubSub - Ingest events for streaming into BigQuery, data lakes or operational databases.
• 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.
• RabbitMQ - One of the most popular open source message brokers.

Tools related to data workflow/pipeline.

• 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.
• Luigi - Python module that helps you build complex pipelines of batch jobs.
• Prefect - A workflow management system, designed for modern infrastructure.

Tools related to data processing (batch and stream).

• 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 Hadoop MapReduce - A framework for writing applications which process vast amounts of data.
• 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.

Tools for ensuring data quality.

• 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.
• 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.
• SodaSQL - Data profiling, testing, and monitoring for SQL accessible data.

Tools related to 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.
• Apache Parquet - A columnar storage format which provides efficient storage and encoding of data.
• Kryo - A fast and efficient binary object graph serialization framework for Java.
• ProtoBuf - Language-neutral, platform-neutral, extensible mechanism for serializing structured data.

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

• 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.

Tools for performing data visualization (DataViz).

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

Tools related to storing data in data warehouses (DW).

• Amazon Redshift - Accelerate your time to insights with fast, easy, and secure cloud data warehousing.
• 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.
• Google BigQuery - Serverless, highly scalable, and cost-effective multicloud data warehouse.

Database tools for storing data.

• 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.

• 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.

• ArangoDB - A scalable open-source multi-model database natively supporting graph, document and search.
• JanusGraph - JanusGraph is designed for managing large graphs with billions of data distributed across a multi-machine cluster.
• 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.

• 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.
• DynamoDB - Fast, flexible NoSQL database service for single-digit millisecond performance at any scale.
• 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.

• 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.

• 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.

• Milvus - An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy.
• Pinecone - Managed and distributed vector similarity search used with a lightweight SDK.
• Qdrant - An open source vector similarity search engine with extended filtering support.

Tools related to file system and data storage.

• Alluxio - A virtual distributed storage system.
• 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.
• GlusterFS - A software defined distributed storage that can scale to several petabytes.
• Google Cloud Storage (GCS) - Object storage for companies of all sizes, to store any amount of data.
• 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.

Tools used for logging and monitoring data workflows.

• 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.

Tools used for storing and serving metadata.

• 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.

Tools for parallel processing SQL statements.

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

Where to discover new tools and discuss about existing ones.

• Data Mesh: Delivering Data-Driven Value at Scale (O'Reilly)
• Designing Data-Intensive Applications (O'Reilly)
• Fundamentals of Data Engineering (O'Reilly)
• Getting Started with Impala (O'Reilly)
• Learning and Operating Presto (O'Reilly)
• Learning Spark: Lightning-Fast Data Analytics (O'Reilly)
• Spark in Action (O'Reilly)
• Spark: The Definitive Guide (O'Reilly)

• Awesome Data Engineering
• Awesome MLOps
• DataOps Resource

• Delta Lake Workspace
• Trino Workspace

All contributions are welcome! Please take a look at the contribution guidelines first.