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

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

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHeroic  Xexclude from comparisonKinetica  Xexclude from comparisonPieCloudDB  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 ElasticSearchFully vectorized database across both GPUs and CPUsA cloud-native analytic database platform with new technologoy for elastic MPPA 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 DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsSpatial 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
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score0.31
Rank#291  Overall
#133  Relational DBMS
Score0.04
Rank#377  Overall
#58  Key-value stores
Websitegithub.com/­spotify/­heroicwww.kinetica.comwww.openpie.comgithub.com/­bytedance/­terarkdb
Technical documentationspotify.github.io/­heroicdocs.kinetica.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperDrizzle project, originally started by Brian AkerSpotifyKineticaOpenPieByteDance, originally Terark
Initial release2008201420122016
Current release7.2.4, September 20127.1, August 20212.1, January 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0commercialcommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC, C++C++
Server operating systemsFreeBSD
Linux
OS X
Linuxhosted
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.nonono
Secondary indexesyesyes infovia Elasticsearchyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsnoSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
ODBC
C++ API
Java API
Supported programming languagesC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
Java
PL/SQL
Python
R
C++
Java
Server-side scripts infoStored proceduresnonouser defined functionsuser defined functionsno
Triggersno infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
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.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelUser Roles and pluggable authentication with full SQL Standardno
More information provided by the system vendor
DrizzleHeroicKineticaPieCloudDBTerarkDB
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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DrizzleHeroicKineticaPieCloudDBTerarkDB
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