HBase vs MemSQL: What are the differences?
HBase: The Hadoop database, a distributed, scalable, big data store. Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop; MemSQL: Database for real-time transactions and analytics. MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.
HBase can be classified as a tool in the "Databases" category, while MemSQL is grouped under "In-Memory Databases".
HBase is an open source tool with 2.91K GitHub stars and 2.01K GitHub forks. Here's a link to HBase's open source repository on GitHub.
Pinterest, HubSpot, and hike are some of the popular companies that use HBase, whereas MemSQL is used by Shutterstock, Zynga, and StreetHawk. HBase has a broader approval, being mentioned in 54 company stacks & 18 developers stacks; compared to MemSQL, which is listed in 10 company stacks and 4 developer stacks.
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