Compare - Gridgain VS Apache Storm

Here’s the difference between Gridgain and Apache Storm. The comparison is based on pricing, deployment, business model, and other important factors.

About Gridgain

GridGain enables organizations to accelerate data processing in their Hadoop deployments by providing an in-memory platform. The platform can be used as a database, a stream computing platform, a messaging platform or an accelrator for hadoop based computations. GridGain's in-memory file system accelerates I/O in the Hadoop stack. GridGain requires zero code change to existing MapReduce code for similar performance improvement. It also offers a management and monitoring tool called GridGain Visor for its Hadoop accelerator platform. It is built on top of Apache Ignite, an In-Memory data Fabric. Its clients include Apple, Avis, Canon, IHG, McGraw-Hill Education, Moody's KMV, Sberbank, Sony, TomTom, and Worldpay. The company was named a 'Cool Vendor' for In-Memory Computing Technologies by Gartner in 2014. Gridgain has incubated and open sourced the In-Memory platform in Apache as Ignite.

About Apache Storm

Apache Storm is a free and open source distributed realtime computation system. Apache Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Apache Storm is simple, can be used with any programming language, and is a lot of fun to use! Apache Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Apache Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate.

Comparison Table

Overview
CategoriesData StreamingData Streaming
StageLate StageLate Stage
Target SegmentEnterprise, Mid sizeEnterprise, Mid size
DeploymentSaaSSaaS
Business ModelCommercialOpen Source
PricingFreemiumFreemium
LocationCalifornia, USUS
Companies using it
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