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DBMS > Cachelot.io vs. Drizzle vs. FoundationDB vs. Kinetica vs. TerarkDB

System Properties Comparison Cachelot.io vs. Drizzle vs. FoundationDB vs. Kinetica vs. TerarkDB

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonDrizzle  Xexclude from comparisonFoundationDB  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DB-Engines ranking.Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionIn-memory caching systemMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Ordered key-value store. Core features are complimented by layers.Fully 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 modelKey-value storeRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#60  Key-value stores
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitecachelot.iogithub.com/­apple/­foundationdbwww.kinetica.comgithub.com/­bytedance/­terarkdb
Technical documentationapple.github.io/­foundationdbdocs.kinetica.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperDrizzle project, originally started by Brian AkerFoundationDBKineticaByteDance, originally Terark
Initial release20152008201320122016
Current release7.2.4, September 20126.2.28, November 20207.1, August 2021
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoGNU GPLOpen Source infoApache 2.0commercialcommercial 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++C++C++C, C++C++
Server operating systemsFreeBSD
Linux
OS X
FreeBSD
Linux
OS X
Linux
OS X
Windows
Linux
Data schemeschema-freeyesschema-free infosome layers support schemasyesschema-free
Typing infopredefined data types such as float or datenoyesno infosome layers support typingyesno
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 indexesnoyesnoyesno
SQL infoSupport of SQLnoyes infowith proprietary extensionssupported in specific SQL layer onlySQL-like DML and DDL statementsno
APIs and other access methodsMemcached protocolJDBCJDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C
C++
Java
PHP
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresnonoin SQL-layer onlyuser defined functionsno
Triggersnono infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
yesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneLinearizable consistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesin SQL-layer onlyyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentnoyesyesyesyes
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 controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPnoAccess rights for users and roles on table levelno

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More resources
Cachelot.ioDrizzleFoundationDBKineticaTerarkDB
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