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DBMS > Drizzle vs. Kinetica vs. OceanBase vs. PouchDB

System Properties Comparison Drizzle vs. Kinetica vs. OceanBase vs. PouchDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonOceanBase  Xexclude from comparisonPouchDB  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.Fully vectorized database across both GPUs and CPUsA distributed, high available RDBMS compatible with Oracle and MySQLJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.57
Rank#149  Overall
#69  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitewww.kinetica.comen.oceanbase.compouchdb.com
Technical documentationdocs.kinetica.comen.oceanbase.com/­docs/­oceanbase-databasepouchdb.com/­guides
DeveloperDrizzle project, originally started by Brian AkerKineticaOceanBase infopreviously Alibaba and Ant GroupApache Software Foundation
Initial release2008201220102012
Current release7.2.4, September 20127.1, August 20214.3.0, April 20247.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoCommercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++C++JavaScript
Server operating systemsFreeBSD
Linux
OS X
LinuxLinuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesno
Secondary indexesyesyesyesyes infovia views
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
JavaScript
Server-side scripts infoStored proceduresnouser defined functionsPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeView functions in JavaScript
Triggersno infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by hash, key, range, range columns, list, and list columns)Sharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication using PaxosMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelAccess rights for users, groups and roles according to SQL-standardno

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More resources
DrizzleKineticaOceanBasePouchDB
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