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DBMS > Drizzle vs. Faircom DB vs. Kinetica vs. TerarkDB

System Properties Comparison Drizzle vs. Faircom DB vs. Kinetica vs. TerarkDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFaircom DB infoformerly c-treeACE  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.Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.GPU-accelerated database for real-time analysis of large and streaming datasetsA 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 DBMSKey-value store
Relational DBMS
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#238  Overall
#37  Key-value stores
#114  Relational DBMS
Score0.82
Rank#190  Overall
#95  Relational DBMS
Score0.06
Rank#320  Overall
#50  Key-value stores
Websitewww.faircom.com/­products/­faircom-dbwww.kinetica.comgithub.com/­Terark/­terarkdb
Technical documentationlearn.faircomcorp.com/­developers/­documentation_directorywww.kinetica.com/­docsgithub.com/­Terark/­terarkdb/­wiki
DeveloperDrizzle project, originally started by Brian AkerFairCom CorporationKineticaTerark
Initial release2008197920122016
Current release7.2.4, September 2012V12, November 20206.0
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercial infoRestricted, free version availablecommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ANSI C, C++C, C++C++
Server operating systemsFreeBSD
Linux
OS X
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
Data schemeyesschema free, schema optional, schema required, partial schema,yesschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyesno
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 indexesyesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsyes, ANSI SQL with proprietary extensionsSQL-like DML and DDL statementsno
APIs and other access methodsJDBCADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesC
C++
Java
PHP
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++user defined functionsno
Triggersno infohooks for callbacks inside the server can be used.yesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDtunable from ACID to Eventually Consistentnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPFine grained access rights according to SQL-standard with additional protections for filesAccess rights for users and roles on table levelno
More information provided by the system vendor
DrizzleFaircom DB infoformerly c-treeACEKineticaTerarkDB
Specific characteristicsAchieve Hundreds of Thousands of Transactions Per Second on A Single Database Server...
» more
Competitive advantagesTop Features SQL Key-value store and navigational NoSQL API Indexed binary objects...
» more
Typical application scenariosReal-time transaction processing solutions leverage FairCom DB because its NoSQL...
» more
Key customersMicrosoft, UPS, Verizon, Motorola, Commvault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
» more
Market metricsFrom banking and financial transactions, transportation, warehouse automation, package...
» more
Licensing and pricing modelsJust as the technical aspects of FairCom DB are flexible to meet operation requirements,...
» more

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More resources
DrizzleFaircom DB infoformerly c-treeACEKineticaTerarkDB
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