Compare - Gridgain VS Fast Data
Here’s the difference between Gridgain and Fast Data. 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 Fast Data
FASTDATA is a big data analytics platform that leverages GPUs to enable real-time stream data processing. It provides API access to developers to enable stream processing. The firm claims that when its platform is coupled with parallel GPU servers, data processing is 5X faster. The solution finds applications for streaming data processing across areas such as finance, fraud, security, AI, ML, VR/AR, and IoT.
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