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The Hadoop database, a distributed, scalable, big data store

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.
HBase is a tool in the Databases category of a tech stack.
HBase is an open source tool with 2.9K GitHub stars and 2K GitHub forks. Here’s a link to HBase's open source repository on GitHub

Who uses HBase?

67 companies reportedly use HBase in their tech stacks, including Pinterest, Hubspot, and hike.

107 developers on StackShare have stated that they use HBase.

HBase Integrations

Apache Hive, OpenTSDB, Apache Flink, Netuitive, and Apache Zeppelin are some of the popular tools that integrate with HBase. Here's a list of all 5 tools that integrate with HBase.

Why developers like HBase?

Here’s a list of reasons why companies and developers use HBase
HBase Reviews

Here are some stack decisions, common use cases and reviews by companies and developers who chose HBase in their tech stack.

John Egan
John Egan
at Pinterest · | 1 upvotes · 8K views

The final output is inserted into HBase to serve the experiment dashboard. We also load the output data to Redshift for ad-hoc analysis. For real-time experiment data processing, we use Storm to tail Kafka and process data in real-time and insert metrics into MySQL, so we could identify group allocation problems and send out real-time alerts and metrics. HBase

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HBase Alternatives & Comparisons

What are some alternatives to HBase?
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 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.
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 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.
Apache Hive
Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage.
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HBase's Stats

HBase's Followers
140 developers follow HBase to keep up with related blogs and decisions.
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