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Best Big Data Analytics Software in 2026

Big data analytics software helps process and query large datasets through services, engines and storage projects. The list covers tools with options such as free plans, open-source code or trials. Compare the paid entry point, deployment model and processing style. Check documented data scale, source connectors, visualisation and query languages, and confirm whether the platform you need includes an Android app;…

30 appsSorted 9 Nov 2026How we rank
18.1

SingleStore Helios is a cloud database-as-a-service available on AWS, Google Cloud, and Microsoft Azure.

Free planWebAPILinux
Free plan
28.0
Exasol logo

Exasol is a database for organizations running analytics and high-concurrency AI workloads.

Free planWebAPILinux
From $3.30 a month
37.9
ClickHouse Cloud logo

ClickHouse Cloud is a managed service for real-time analytics, observability, and AI-powered data applications.

Open sourceWebAPILinux
From $25.30 a month
  1. 4Apache Beam logo

    Apache Beam

    Apache Beam is a free, open-source programming model for building data processing pipelines across batch and streaming workloads.

    Free planOpen sourceWebAPILinuxmacOS
    7.7Free plan
  2. 5

    PrestoDB

    PrestoDB is a free, open-source distributed SQL query engine for querying large datasets across different data systems.

    Free planOpen sourceWebAPILinuxmacOS
    7.7Free plan
  3. 6Starburst Enterprise Context Layer logo

    Starburst Enterprise Context Layer

    Starburst Enterprise Context Layer turns scattered data into governed, versioned Data Products that bundle datasets with business definitions,…

    Free planWebAPISelf-hosted
    7.5$0.50 usage-based
  4. 7Apache Hive logo

    Apache Hive

    Apache Hive is an open-source data warehouse system for working with large datasets through SQL.

    Free planOpen sourceAPILinuxmacOSSelf-hosted
    7.4Free plan
  5. 8

    Teradata VantageCloud

    Teradata VantageCloud is Teradata’s managed cloud deployment for production AI, analytics, lakehouse, and agentic AI workloads.

    Free planWebAPILinuxSelf-hosted
    7.3$1.50 one-time
  6. 9

    Apache Druid

    Apache Druid is an open-source database for real-time analysis of streaming and batch data.

    Free planWebAPILinuxmacOS
    7.2Free plan
  7. 10Apache Hadoop HDFS logo

    Apache Hadoop HDFS

    Apache Hadoop HDFS is a free, open-source distributed file system for high-throughput access to large application data sets on commodity hardware.

    Free planOpen sourceAPILinuxSelf-hostedWindows
    7.2Free plan
  8. 11Starburst Galaxy logo

    Starburst Galaxy

    Starburst Galaxy is a managed, cloud-hosted analytics platform built on Trino.

    Free planWebAPILinux
    7.1Free plan
  9. 12Materialize logo

    Materialize

    Materialize is a SQL-based live data layer for apps and AI agents.

    Free planWebAPILinuxSelf-hosted
    7.0From $1.50 a year
  10. 13

    Yellowbrick Data Warehouse

    Yellowbrick Data Warehouse is a SQL data platform for data warehousing and application analytics.

    WebAPILinuxmacOS
    6.9From $0.28 a month
  11. 14

    Apache Kylin

    Apache Kylin is an open-source OLAP engine for data analytics, designed for large-scale workloads and many concurrent queries.

    Free planWebAPILinuxSelf-hosted
    6.7Free plan
  12. 15

    Apache Storm

    Apache Storm is a free, open-source system for processing unbounded data streams in real time.

    Free planWebAPILinuxmacOS
    6.6Free plan
  13. 16Apache Pinot logo

    Apache Pinot

    Apache Pinot is an open-source distributed OLAP datastore for real-time analytics and user-facing workloads.

    Free planWebAPISelf-hosted
    6.4Free plan
  14. 17Apache Spark logo

    Apache Spark

    Apache Spark is a free, open-source engine for large-scale data analytics.

    Free planAPILinuxmacOSSelf-hosted
    6.4Free plan
  15. 18Firebolt logo

    Firebolt

    Firebolt is an open-source analytical database for engineers that uses Postgres-compatible SQL.

    Free planWebAPILinuxSelf-hosted
    6.4Free plan
  16. 19

    Trino

    Trino is a distributed SQL query engine for analyzing large datasets across different data systems.

    Free planWebAPILinuxSelf-hosted
    6.4Free plan
  17. 20

    Apache Impala

    Apache Impala is an open-source analytic database for SQL queries on open data and table formats.

    Free planAPILinuxmacOSSelf-hosted
    6.2Free plan
  18. 21Apache Flink logo

    Apache Flink

    Apache Flink is a framework and distributed processing engine for stateful computations over bounded and unbounded data streams.

    Free planAPILinuxSelf-hosted
    6.1Free plan
  19. 22Apache Samza logo

    Apache Samza

    Apache Samza is a free, self-hosted framework for processing live data streams and building applications that maintain state.

    Free planAPILinuxSelf-hosted
    6.0Free plan
  20. 23Apache Doris logo

    Apache Doris

    Apache Doris is an open-source, real-time analytical database for analytics and AI, available under the Apache License, Version 2.0.

    APILinuxSelf-hosted
    5.8
  21. 24SAS Advanced Analytics logo

    SAS Advanced Analytics

    SAS Advanced Analytics refers to SAS Viya, a cloud-native data and AI platform for connecting data, building and governing models, and operationalizing decisions.

    APISelf-hosted
    5.8
  22. 25
    5.7From $83.30 a month

Choosing well

Compare free access and paid entry

A free plan is available from items in this category, while other tools use paid pricing. Check what the free plan includes and find the listed paid starting point before planning a rollout.

A free trial can help you assess a paid service before committing. Open-source projects may suit teams that want code they can inspect and run themselves.

Match deployment to your setup

Deployment choices in this category include API, self-hosted and web services. A self-hosted option keeps operation in your environment, while a web service is accessed through a browser.

Check platform details for the computers and servers you use.

Choose a processing model

Compare how a tool processes data, such as batch or streaming approaches where documented. The processing model affects how you handle stored information and ongoing event flows.

Look for documentation that describes the model clearly and relates it to your workload before selecting a service or project.

Check scale and data sources

Review the documented data scale for a tool and compare it with the size and growth of your datasets. Treat published scale information as a sizing reference, not a guarantee for your workload.

Data source connectors determine which systems can feed the analytics stack. Confirm that the sources you need are supported before adopting a tool.

Review queries and visualisation

Query languages affect how quickly your team can work with a system and whether existing skills transfer. Check the languages documented for the tool.

Built-in visualisation can help present results without adding a separate product. Compare the available visual features with the way your team needs to read and share findings.

Questions people ask

Can I start with a free plan?

Yes. A free plan is offered by items in this category, and open-source projects are also listed. Check the terms and capabilities of the tool you choose.

Are open-source options included?

Yes. Open-source code is offered by items in this category. Review the licence and deployment requirements before using a project.

What deployment options are available?

The listed deployment platforms include API, self-hosted and web. Platform facts also cover Linux, macOS and Windows.

What should I compare between tools?

Compare free plan, paid starting price, deployment, processing model, documented data scale, source connectors, built-in visualisation and query languages.

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