Cassandra vs. HBase vs. ToroDB

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Cassandra

HBase

ToroDB

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Description

What is 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.

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 ToroDB?

ToroDB is an open source, document-oriented, JSON database that runs on top of PostgreSQL, providing storage and I/O savings and ACID semantics. ToroDB is MongoDB-compatible, so you can use Mongo clients to connect to it.

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Why do you like HBase?

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Cons about this tool

Cons
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No Cons submitted yet for HBase
Cons
No Cons submitted yet for ToroDB

Pricing

ToroDB Pricing

Companies

277 Companies Using Cassandra
48 Companies Using HBase
0 Companies Using ToroDB

Integrations

Cassandra Integrations
HBase Integrations
ToroDB Integrations

Latest News

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Cassandra Query Language


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