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DBMS > Drizzle vs. Heroic vs. OpenMLDB vs. TerarkDB

System Properties Comparison Drizzle vs. Heroic vs. OpenMLDB vs. TerarkDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHeroic  Xexclude from comparisonOpenMLDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAn open-source machine learning database that provides a feature platform for training and inferenceA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegithub.com/­spotify/­heroicopenmldb.aigithub.com/­bytedance/­terarkdb
Technical documentationspotify.github.io/­heroicopenmldb.ai/­docs/­zh/­mainbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperDrizzle project, originally started by Brian AkerSpotify4 Paradigm Inc.ByteDance, originally Terark
Initial release2008201420202016
Current release7.2.4, September 20122024-2 February 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0Open Sourcecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++, Java, ScalaC++
Server operating systemsFreeBSD
Linux
OS X
Linux
Data schemeyesschema-freeFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono
Secondary indexesyesyes infovia Elasticsearchyesno
SQL infoSupport of SQLyes infowith proprietary extensionsnoyesno
APIs and other access methodsJDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
SQLAlchemy
C++ API
Java API
Supported programming languagesC
C++
Java
PHP
C++
Go
Java
Python
Scala
C++
Java
Server-side scripts infoStored proceduresnononono
Triggersno infohooks for callbacks inside the server can be used.nonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardno

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More resources
DrizzleHeroicOpenMLDBTerarkDB
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