HBase

280
292
+ 1
13
TiDB

33
77
+ 1
8
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HBase vs TiDB: What are the differences?

Developers describe HBase as "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. On the other hand, TiDB is detailed as "A distributed NewSQL database compatible with MySQL protocol". Inspired by the design of Google F1, TiDB supports the best features of both traditional RDBMS and NoSQL.

HBase and TiDB belong to "Databases" category of the tech stack.

HBase and TiDB are both open source tools. It seems that TiDB with 19.2K GitHub stars and 2.79K forks on GitHub has more adoption than HBase with 2.87K GitHub stars and 1.98K GitHub forks.

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What is HBase?

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.

What is TiDB?

Inspired by the design of Google F1, TiDB supports the best features of both traditional RDBMS and NoSQL.
What companies use HBase?
What companies use TiDB?

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What tools integrate with HBase?
What tools integrate with TiDB?
    No integrations found

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    What are some alternatives to HBase and TiDB?
    Cassandra
    Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    Hadoop
    The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
    Druid
    Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.
    Couchbase
    Developed as an alternative to traditionally inflexible SQL databases, the Couchbase NoSQL database is built on an open source foundation and architected to help developers solve real-world problems and meet high scalability demands.
    See all alternatives
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