YTsaurus is a scalable and fault-tolerant open-source big data platform.

ClickHouse® is a free analytics DBMS for big data

SQL stream processing, analytics, and management. We decouple storage and compute to offer speedy bootstrapping, dynamic scaling, time-travel queries, and efficient joins.

Apache Beam is a unified programming model for Batch and Streaming data processing.

Seamless multi-master syncing database with an intuitive HTTP/JSON API, designed for reliability

Apache DataFusion SQL Query Engine

Arkime is an open source, large scale, full packet capturing, indexing, and database system.

Postgres for Search and Analytics

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Apache Spark - A unified analytics engine for large-scale data processing

Multi Tier Annotation Search

SageWorks: An easy to use Python API for creating and deploying AWS SageMaker Models

Low-code tool for automating actions on real time data | Stream processing for the users.

The official home of the Presto distributed SQL query engine for big data

Open-source BI for engineers

Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs

StarRocks, a Linux Foundation project, is a next-generation sub-second MPP OLAP database for full analytics scenarios, including multi-dimensional analytics, real-time analytics, and ad-hoc queries. InfoWorld’s 2023 BOSSIE Award for best open source software.

Type safety for spark columns