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Apache Cassandra
Apache Mahout
Redis
CouchDB
Apache Avro
MongoDB
Apache HBase – Apache HBase™ Home

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Which is more popular?
Based on our record, Apache HBase seems to be more popular. It has been mentioned 9 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | hbase.apache.org | forthgreen.com |
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What each product offers, as listed by its team.


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Apache HBase 101: How HBase Can Help You Build Scalable, Distributed Java Applications
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Recommendations tracked on public social media and blogs since March 2021.


When IoTDB was initiated in 2011, almost all influential distributed systems and databases were built in Java or on the JVM—such as Hadoop, HBase, Spark (Scala on JVM), Cassandra, Kafka, and Flink. To integrate deeply with the big data... - Source: dev.to / 6 months ago
HBase — Distributed, scalable, big data store. - Source: dev.to / about 2 years ago
HBase is an open-source, distributed, scalable big data store that runs on top of the Hadoop Distributed File System (HDFS). It allows for real-time read/write access to large datasets because of its design. - Source: dev.to / about 2 years ago
Tracking Forthgreen since Mar 2021.
When comparing Apache HBase and Forthgreen, you can also consider the following products.

Ambari is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Hadoop clusters.
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The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
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Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
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HTTP + JSON document database with Map Reduce views and peer-based replication
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Apache Avro is a comprehensive data serialization system and acting as a source of data exchanger service for Apache Hadoop.
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