A curated list of awesome DataOps tools

Overview

Awesome DataOps Awesome

A curated list of awesome DataOps tools.


Data Catalog

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.

Data Exploration

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.

Data Ingestion

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.

Data Lake

Tools related to storing data in data lakes.

  • Delta Lake - An open source project that enables building a Lakehouse architecture on top of data lakes.
  • LakeFS - Open source tool that transforms your object storage into a Git-like repository.

Data Workflow

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.

Data Processing

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 Hudi - Hadoop Upserts Deletes and Incrementals.
  • 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

Tools for ensuring data quality.

  • Cerberus - Lightweight, extensible data validation library for Python.
  • 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.

Data Serialization

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.

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 Visualization

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.

Data Warehouse

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.
  • Google BigQuery - Serverless, highly scalable, and cost-effective multicloud data warehouse.

Database

Database tools for storing data.

Columnar Database

  • 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.

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.
  • 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.

Key-Value Database

  • Apache Accumulo - A sorted, distributed key-value store that provides robust and scalable data storage.
  • etcd - Distributed reliable key-value store for the most critical data of a distributed system.
  • Memcached - A high performance multithreaded event-based key/value cache store.
  • Redis - An in-memory key-value database that persists on disk.

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.

Time Series Database

  • Akumuli - Can be used to capture, store and process time-series data in real-time.
  • 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.

Vector Database

  • 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.

File System

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.
  • 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.

Logging and Monitoring

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.

SQL Query Engine

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.

Resources

Where to discover new tools and discuss about existing ones.

Books

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Owner
Kelvin S. do Prado
ML Engineer and IPCV Researcher
Kelvin S. do Prado
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