HBase vs. RocksDB vs. TokuMX
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HBase |
RocksDB |
TokuMX |
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Description |
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.
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What is RocksDB?RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation.
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What is TokuMX?TokuMX is a drop-in replacement for MongoDB, and offers 20X performance improvements, 90% reduction in database size, and support for ACID transactions with MVCC. TokuMX has the same binaries, supports the same drivers, data model, and features of MongoDB, because it shares much of its code with MongoDB.
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Pricing |
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Companies |
47 Companies Using HBase
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4 Companies Using RocksDB
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2 Companies Using TokuMX
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Integrations |
HBase
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No integrations listed yet
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TokuMX
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What are some alternatives to HBase, RocksDB, and TokuMX?
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Latest News |
All things RocksDB at Percona Live Europe 2017
September 01, 2017
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How developers use HBase vs RocksDB vs TokuMX
Pinterest uses HBase
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.
