Hadoop Alternatives & Competitors

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

PostgreSQL is a powerful, open source object-relational database system.

Key PostgreSQL features:

Open Source ACID Compliance Extensible Advanced SQL Features

Open Source

Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface.

Key Draxlr features:

Dashboards and Visualizations Slack Notifications Email notifications Query Builder

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Apache Storm is a free and open source distributed realtime computation system.

Key Apache Storm features:

Real-Time Processing Scalability Fault Tolerance Broad Language Support

Open Source

MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Key MongoDB features:

Scalability Flexible Schema High Performance Rich Query Language

Open Source

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

Key Apache Cassandra features:

Scalability High Availability Performance Flexible Data Model

Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.

Key Apache Hive features:

Scalability SQL-like Interface Integration with Hadoop Ecosystem Schema on Read

Open Source

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

Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

Key Apache Kafka features:

High Throughput Scalability Fault Tolerance Durability

Open Source

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

The world's most popular open source database.

Key MySQL features:

Reliability Performance Open Source Scalability

Open Source

ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

Key ClickHouse features:

High Performance Scalability Real-time Data Ingestion Cost Efficiency

Open Source

Greenplum Database is an open source parallel data warehousing platform.

Key Greenplum Database features:

Scalability Open Source Advanced Analytics Integration with Hadoop

Open Source

Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

Key Amazon Kinesis features:

Real-time data processing Scalability Fully managed service Integration with AWS ecosystem