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DBMS > Drizzle vs. Heroic vs. Kdb vs. Kinetica vs. TerarkDB

System Properties Comparison Drizzle vs. Heroic vs. Kdb vs. Kinetica vs. TerarkDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHeroic  Xexclude from comparisonKdb  Xexclude from comparisonKinetica  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 ElasticSearchHigh performance Time Series DBMSFully vectorized database across both GPUs and CPUsA 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 DBMS
Vector DBMS
Relational DBMSKey-value store
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score0.04
Rank#377  Overall
#58  Key-value stores
Websitegithub.com/­spotify/­heroickx.comwww.kinetica.comgithub.com/­bytedance/­terarkdb
Technical documentationspotify.github.io/­heroiccode.kx.comdocs.kinetica.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperDrizzle project, originally started by Brian AkerSpotifyKx Systems, a division of First Derivatives plcKineticaByteDance, originally Terark
Initial release200820142000 infokdb was released 2000, kdb+ in 200320122016
Current release7.2.4, September 20123.6, May 20187.1, August 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0commercial infofree 32-bit versioncommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaqC, C++C++
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.noyesnono
Secondary indexesyesyes infovia Elasticsearchyes infotable attribute 'grouped'yesno
SQL infoSupport of SQLyes infowith proprietary extensionsnoSQL-like query language (q)SQL-like DML and DDL statementsno
APIs and other access methodsJDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesC
C++
Java
PHP
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresnonouser defined functionsuser defined functionsno
Triggersno infohooks for callbacks inside the server can be used.noyes infowith viewsyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPrights management via user accountsAccess rights for users and roles on table levelno
More information provided by the system vendor
DrizzleHeroicKdbKineticaTerarkDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
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Licensing and pricing modelsupon request
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More resources
DrizzleHeroicKdbKineticaTerarkDB
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