Linux Softwares to Data Stream Processing

Discover Linux Softwares to Data Stream Processing.

Supports the ingestion, processing, and analysis of continuous streams of data.

Best Linux Softwares to Data Stream Processing

Sort:
Hazelcast

Hazelcast

Open Source

Hazelcast is a leading open-source distributed in-memory data grid and stream processing platform designed for high-performance, low-latency applications. It provides incredibly fast data access and processing by keeping data in RAM across a cluster of machines, enabling real-time responsiveness.

Extremely low latency due to in-memory data storage.
Data stream processing
Development
GridGain In-Memory Data Fabric

GridGain In-Memory Data Fabric is a comprehensive in-memory computing platform designed for high-performance, low-latency applications. It acts as a data and compute layer between applications and traditional databases, accelerating access and processing of vast amounts of data for real-time analytics, transactional workloads, and streaming data.

Extremely low data access latency due to in-memory architecture.
Clustering
Redis

Redis

Open Source

Redis is an open-source, in-memory data structure store used as a database, cache, and message broker. It supports various data structures like strings, hashes, lists, sets, sorted sets, and more, offering high performance and versatility for modern application development.

Exceptional speed and low latency due to in-memory storage.
Database
Development