Best Big Data Tools in 2025

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Key Apache Spark features:

Speed Ease of Use Advanced Analytics Scalability

Open Source

The most intuitive platform to manage projects and teamwork.

Key monday.com features:

User-Friendly Interface Customization Collaboration Integrations

Visit website paid Free Trial $14.0 / Monthly (per seat)

event processing. simplified.

Key layline.io features:

Real-Time & Batch Processing Low-Code Configuration Distributed Architecture Fast & Scalable

free

Talend offers open source middleware solutions that address big data integration, data management and application integration needs for businesses of all sizes.

Key Talend Data Integration features:

Comprehensive Toolset Open Source Availability Scalability Easy to Use Interface

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Key Amazon EMR features:

Scalability Cost-effectiveness Ease of Use Managed Service

MuleSoft provides an integration platform for connecting any application, data source or API, whether in the cloud or on-premises.

Key MuleSoft features:

Comprehensive Integration Platform API-Led Connectivity Rich Connectors Library Strong Community and Support

A managed Apache Hadoop, Spark, R, HBase, and Storm cloud service made easy.

Key Microsoft HDInsight features:

Scalability Integration Support for Open-Source Frameworks Security Features

Fully managed extract, transform, and load (ETL) service.

Key AWS Glue features:

Fully Managed Scalability Serverless Integrated Data Catalog

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Key Apache Flink features:

Real-time Stream Processing Event Time Processing State Management Fault Tolerance

Open Source

Splunk's operational intelligence platform helps unearth intelligent insights from machine data.

Key Splunk features:

Powerful Data Analysis Real-Time Processing Scalability Wide Range of Integrations

Apache Beam provides an advanced unified programming model to implement batch and streaming data processing jobs.

Key Apache Beam features:

Unified Model Portability Rich SDKs Windowing and Triggering

Open Source

We have built the World's Most Comprehensive Advanced Analytics Platform for Big Data.

Key Alpine Chorus features:

Scalability User-Friendly Interface Collaboration Features Comprehensive Analytics

An enterprise-grade distributed data platform that you can trust to reliably store and process big and fast data.

Key MapR Converged Data Platform features:

Unified Data Platform Scalability Real-time Data Processing High Availability and Reliability

Oracle Big Data offers solutions to help organize and analyze diverse data sources alongside existing data.