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Big Data Analytics Tools

A directory of 22 Big Data Analytics Tools products and vendors. Big data analytics tools process, store and query datasets too large for a single machine, using distributed engines, table formats and streaming frameworks. Links go to each vendor's site.

26 topics•2 categories•Updated October 2026

Vendors & Products

22 entries

Products and vendors listed for Big Data Analytics Tools.

01Apache SparkA unified analytics engine for large-scale data processing — supporting batch, streaming, SQL, ML, and graph workloads on a single distributed platform. 02Apache StormFree and open source distributed realtime computation system — reliably processing unbounded streams of data, doing for realtime processing what Hadoop did for batch. 03TrinoFast distributed SQL query engine for big data analytics that helps you explore your data universe — querying data where it lives across multiple sources at petabyte scale. 04Apache HadoopA framework for the distributed processing of large data sets across clusters of computers — the foundational open source platform for scalable big data storage and processing. 05Apache SamzaBuild stateful applications that process data in real-time from multiple sources including Apache Kafka — with fault tolerance, state management, and exactly-once semantics. 06Apache AirflowA platform created by the community to programmatically author, schedule, and monitor workflows — the standard for orchestrating complex data pipelines at scale. 07HPCC SystemsA data lake platform for combining different types of data faster and easier — offering an integrated, end-to-end solution for big data processing and analytics. 08Delta LakeOpen-source storage framework enabling Lakehouse architecture — brings ACID transactions, scalable metadata handling, and unified streaming/batch data processing to the data lake. 09Apache DrillSchema-free SQL query engine for Hadoop, NoSQL, and cloud storage — enabling interactive analysis across diverse data sources without requiring upfront schema definition. 10Apache DruidA real-time database to power modern analytics applications at scale — delivering sub-second queries on streaming and batch data for high-concurrency dashboards and APIs. 11Apache FlinkStateful computations over data streams — a framework for distributed stream and batch data processing with event-time semantics and exactly-once state consistency. 12Apache HiveData warehouse software that facilitates reading, writing, and managing large datasets in distributed storage using familiar SQL — built on top of Apache Hadoop. 13Apache HudiBrings transactions, record-level updates/deletes, and change streams to data lakes — enabling incremental processing and near real-time analytics on lakehouse storage. 14Apache IcebergHigh-performance open table format for huge analytic tables — brings the reliability and simplicity of SQL tables to big data with schema evolution and time travel. 15Apache KafkaOpen-source distributed event streaming platform for high-performance data pipelines, streaming analytics, data integration, and mission-critical real-time applications. 16Apache KylinOpen source distributed analytical data warehouse for big data — providing OLAP capability with sub-second query response over trillions of rows in the big data era. 17PrestoOpen source distributed SQL query engine for interactive analytic queries against data sources of all sizes — from gigabytes to petabytes, without moving data. 18Apache BeamA unified programming model for defining batch and streaming data-processing pipelines that run on engines such as Flink, Spark and Google Cloud Dataflow. 19Apache PinotA real-time distributed OLAP datastore built to deliver low-latency analytics on streaming and batch data for user-facing applications. 20Apache ImpalaA native analytic SQL engine for Hadoop that runs fast, interactive queries directly over data stored in HDFS and cloud object storage. 21ClickHouseAn open-source column-oriented database for real-time analytical queries over very large datasets. 22Apache NiFiA dataflow system for automating the movement, routing and transformation of data between systems, with a visual interface and built-in provenance tracking.

Related Pages

4 entries

Related directories on this site.

Frequently Asked Questions

What is Big Data Analytics Tools?

Big data analytics tools process, store and query datasets too large for a single machine, using distributed engines, table formats and streaming frameworks.

How do I choose Big Data Analytics Tools?

Compare vendors on batch versus streaming support, SQL engine, table format, ecosystem and operational effort.

Which vendors are listed for Big Data Analytics Tools?

This directory lists 22 products and vendors, including Apache Spark, Apache Storm, Trino, Apache Hadoop, Apache Samza.

What other directories relate to Big Data Analytics Tools?

See Streaming Data Analytics Platforms, Cloud-based Data Analytics Solutions, Data Engineering.

How current are the listings?

Links were rechecked in October 2026. Vendors rename, merge and retire products often, so confirm details on the vendor's site; renamed products note where their old address now leads.