SnappyData provides an open source platform acting as an alternative for customers who traditionally have used a combination of disparate products to handle their streaming, transactional and analytical data needs by doing it in a single in-memory cluster. The solution combines big data computing of Apache Spark in-memory design and "shared nothing" architecture that eliminates single points of failure while delivering very high performance based on Pivotal GemFire, a widely deployed enterprise-class in-memory data grid.
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Latest SnappyData News
Apr 5, 2019
iTWire Dont worry, be Snappy: Tibco has acquired SnappyData, the company behind the open source, distributed, in-memory platform for unified analytics of the same name. SnappyData offers developers and users a way to do simplified, agile analytics on data in motion and at rest, explained SnappyData chief technology officer Jags Ramnarayan, with application areas including IoT, including financial services, manufacturing, and telecommunications, according to the company. It uses Apache Spark, and therefore can be connected to systems from most vendors. SnappyData can be used to analyse live streams of data, operational data, or big historical data, Ramnarayan said. Recently acquired by Tibco , SnappyData was spun out from Pivotal in 2016. Tibco has announced plans for SnappyData that include: Using it as an in-memory data store for Tibco Spotfire and Tibco Data Science. Building the "ultimate digital business analytics platform for streaming IoT data" by combining Spotfire, Data Science, SnappyData and Tibco Streaming Analytics. Broadening the company's commitment to open source. By fusing Spark with an in-memory database, SnappyData provides very fast reads and writes (it is capable of ingesting millions of records per second, according to Ramnarayan), takes advantage of multi-core CPUs by providing a row/column in-memory store, and allows Spark streams and mutable tables to be joined in a single query. Advantages include up to 20 times the speed of Spark's native caching (thanks to better memory management and vectorisation), up to 100 times the speed of Spark with a conventional database, dramatic performance improvements by using probabilistic data. Other application areas mentioned by Ramnarayan included predictive maintenance, smart cities, media (the delivery of targeted advertising is "a complex thing," he observed), and security. All of these involve the ingestion of live data, he pointed out. Disclosure:The writer attended Tibco Now 2019 as a guest of the company. Australia is a cyber espionage hot spot. As we automate, script and move to the cloud, more and more businesses are reliant on infrastructure that has the high potential to be exposed to risk. It only takes one awry email to expose an accounts’ payable process, and for cyber attackers to cost a business thousands of dollars. In the free white paper ‘6 Steps to Improve your Business Cyber Security’ you’ll learn some simple steps you should be taking to prevent devastating and malicious cyber attacks from destroying your business. Cyber security can no longer be ignored, in this white paper you’ll learn: · How does business security get breached? · What can it cost to get it wrong? · 6 actionable tips
SnappyData Frequently Asked Questions (FAQ)
When was SnappyData founded?
SnappyData was founded in 2015.
Where is SnappyData's headquarters?
SnappyData's headquarters is located at 17933 NW Evergreen Pkwy, Beaverton.
What is SnappyData's latest funding round?
SnappyData's latest funding round is Acquired.
How much did SnappyData raise?
SnappyData raised a total of $3.65M.
Who are the investors of SnappyData?
Investors of SnappyData include TIBCO Software, Pivotal Software, GTD Capital and General Electric.
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