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DBMS > BoltDB vs. Heroic vs. Hypertable vs. RethinkDB vs. RocksDB

System Properties Comparison BoltDB vs. Heroic vs. Hypertable vs. RethinkDB vs. RocksDB

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonHeroic  Xexclude from comparisonHypertable  Xexclude from comparisonRethinkDB  Xexclude from comparisonRocksDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn embedded key-value store for Go.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAn open source BigTable implementation based on distributed file systems such as HadoopDBMS for the Web with a mechanism to push updated query results to applications in realtime.Embeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelKey-value storeTime Series DBMSWide column storeDocument storeKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score3.65
Rank#85  Overall
#11  Key-value stores
Websitegithub.com/­boltdb/­boltgithub.com/­spotify/­heroicrethinkdb.comrocksdb.org
Technical documentationspotify.github.io/­heroicrethinkdb.com/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperSpotifyHypertable Inc.The Linux Foundation infosince July 2017Facebook, Inc.
Initial release20132014200920092013
Current release0.9.8.11, March 20162.4.1, August 20209.2.1, May 2024
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC++C++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Windows
Linux
Data schemeschema-freeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyesnoyes infostring, binary, float, bool, date, geometryno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesnoyes infovia Elasticsearchrestricted infoonly exact value or prefix value scansyesno
SQL infoSupport of SQLnonononono
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
C++ API
Thrift
C++ API
Java API
Supported programming languagesGoC++
Java
Perl
PHP
Python
Ruby
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnononono
TriggersnononoClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding inforange basedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factor on file system levelSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoAtomic single-document operationsyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlnonoyes infousers and table-level permissionsno

More information provided by the system vendor

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Related products and services
3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
BoltDBHeroicHypertableRethinkDBRocksDB
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