Apache Flink Alternatives
Apache Spark™ is a fast and general engine for large-scale data processing. Speed Run programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk.
Spark has an advanced DAG execution engine that supports cyclic data flow and in-memory computing.
- - Apache Spark is the most popular Windows, Mac & Linux alternative to Apache Flink.
- - Apache Spark is the most popular Open Source & free alternative to Apache Flink.
Apache Hadoop is a open source software framework that supports data-intensive distributed applications licensed under the Apache v2 license. It enables applications to work with thousands of computational independent computers and petabytes of data.
Apache Hadoop Features
Splunk is software that provides unique visibility across your entire IT infrastructure from one place in real time. Only Splunk enables you to search, report, monitor and analyze streaming and historical data from any source.
Disco is an implementation of mapreduce for distributed computing. Disco supports parallel computations over large data sets, stored on an unreliable cluster of computers, as in the original framework created by Google.
Disco MapReduce Features
RDA automates IT DataOps with low-code software bots and pipelines authored in AIOps Studio. RDA lets you go from data to insights and action in minutes. ITOps personnel, professional service teams and MSPs can accelerate AIOps/Observability projects.
- - Robotic Data Automation (RDA) is the most popular Web-based, SaaS & Self-Hosted alternative to Apache Flink.
Gravwell is an all-you-can-ingest data fusion analytics platform that enables complete context and root cause analytics for security and business data.
IQLECT is the creator of Ampere, a real-time big data analytics platform. Various apps for data center infrastructure monitoring, clickstream analysis, log analysis and others can be deployed on the platform.
Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing.
Apache Storm Features
Upsolver is an In-Memory Data Preparation Platform. It removes the complexity from Big Data and Real-Time projects and shortens their implementation time from weeks/months to several hours, literally.
- - Upsolver is the most popular commercial alternative to Apache Flink.
Proton is a unified streaming and historical data processing engine in a single binary. It helps data engineers and platform engineers solve complex real-time analytics use cases, and powers the Timeplus streaming analytics platform.
DNIF provides a high value solution by combining technologies such as the SIEM, UEBA and SOAR into one product at an extremely low total cost of ownership.