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DBMS > Drizzle vs. IBM Cloudant vs. Kinetica vs. VoltDB

System Properties Comparison Drizzle vs. IBM Cloudant vs. Kinetica vs. VoltDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonKinetica  Xexclude from comparisonVoltDB  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.Database as a Service offering based on Apache CouchDBFully vectorized database across both GPUs and CPUsDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.73
Rank#108  Overall
#20  Document stores
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score1.46
Rank#159  Overall
#74  Relational DBMS
Websitewww.ibm.com/­products/­cloudantwww.kinetica.comwww.voltdb.com
Technical documentationcloud.ibm.com/­docs/­Cloudantdocs.kinetica.comdocs.voltdb.com
DeveloperDrizzle project, originally started by Brian AkerIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014KineticaVoltDB Inc.
Initial release2008201020122010
Current release7.2.4, September 20127.1, August 202111.3, April 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ErlangC, C++Java, C++
Server operating systemsFreeBSD
Linux
OS X
hostedLinuxLinux
OS X infofor development
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoSQL-like DML and DDL statementsyes infoonly a subset of SQL 99
APIs and other access methodsJDBCRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC
C++
Java
PHP
C#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptuser defined functionsJava
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 nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possiblenoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAM
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users can be defined per databaseAccess rights for users and roles on table levelUsers and roles with access to stored procedures

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More resources
DrizzleIBM CloudantKineticaVoltDB
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