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DBMS > Drizzle vs. EXASOL vs. JaguarDB vs. PouchDB vs. Vitess

System Properties Comparison Drizzle vs. EXASOL vs. JaguarDB vs. PouchDB vs. Vitess

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonEXASOL  Xexclude from comparisonJaguarDB  Xexclude from comparisonPouchDB  Xexclude from comparisonVitess  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.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Performant, highly scalable DBMS for AI and IoT applicationsJavaScript DBMS with an API inspired by CouchDBScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSRelational DBMSKey-value store
Vector DBMS
Document storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitewww.exasol.comwww.jaguardb.compouchdb.comvitess.io
Technical documentationwww.exasol.com/­resourceswww.jaguardb.com/­support.htmlpouchdb.com/­guidesvitess.io/­docs
DeveloperDrizzle project, originally started by Brian AkerExasolDataJaguar, Inc.Apache Software FoundationThe Linux Foundation, PlanetScale
Initial release20082000201520122013
Current release7.2.4, September 20123.3 July 20237.1.1, June 201915.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoGPL V3.0Open SourceOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++ infothe server part. Clients available in other languagesJavaScriptGo
Server operating systemsFreeBSD
Linux
OS X
Linuxserver-less, requires a JavaScript environment (browser, Node.js)Docker
Linux
macOS
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesyesyesyes infovia viewsyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoyes infowith proprietary extensions
APIs and other access methodsJDBC.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C++
Java
PHP
Java
Lua
Python
R
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScriptAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functionsnoView functions in JavaScriptyes infoproprietary syntax
Triggersno infohooks for callbacks inside the server can be used.yesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyesnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles according to SQL-standardrights management via user accountsnoUsers with fine-grained authorization concept infono user groups or roles

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More resources
DrizzleEXASOLJaguarDBPouchDBVitess
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