Apache Pinot Alternatives (January 2026)

1.

Apache Kudu - Fast Analytics on Fast Data

A new open source Apache Hadoop ecosystem project, Apache Kudu completes Hadoop's storage layer to enable fast analytics on fast data

2.

The Fastest Real-Time Analytics on Planet Earth | StarTree

https://startre

.ai/

Transform your business with the leading real-time analytics solution, trusted at scale, from the creators of Apache Pinot.

3.

Apache Kafka

https://kafka.apach

.org/

Apache Kafka: A Distributed Streaming Platform.

4.

SingleStore | The Real-Time Data Platform for Intelligent Applications

https://www.singlestor

.com/

Designed for applications, analytics and AI, SingleStore is the world's only real-time data platform to read, write and reason on petabyte-scale data in a few milliseconds.

5.

Apache Apex

https://apex.apach

.org/

Apex is an enterprise grade native YARN big data-in-motion platform that unifies stream processing as well as batch processing.

6.

Apache Arrow | Apache Arrow

https://arrow.apach

.org/

A cross-language development platform for in-memory analytics

7.

Real-time Analytics Database

https://crated

.com/

Real-time analytics database for instant aggregations and hybrid search. No more need for complex indexing strategies, everything is indexed automatically. Execute ad-hoc queries, perform hybrid search effortlessly, and boost developer productivity with native SQL.

8.

Data Lakehouse Platform Powered by Apache Iceberg | Dremio

https://www.dremi

.com/

The Unified Data Lakehouse Platform for Self-Service Analytics and AI. Dremio provides the fastest SQL engine with the best price-performance for Apache Iceberg

9.

Apache OODT - Distributed Data Management

https://oodt.apach

.org/

Apache Object Oriented Data Technology (OODT) is the smart way to integrate and archive your processes, your data, and its metadata. It facilitates the generation, processing, management, distribution, analysis of data management, data archiving, and data analytics systems allowing for the integration of data, computation, visualization and other components.