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DBMS > Drizzle vs. GigaSpaces vs. PouchDB vs. Vitess

System Properties Comparison Drizzle vs. GigaSpaces vs. PouchDB vs. Vitess

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGigaSpaces  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 data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsJavaScript DBMS with an API inspired by CouchDBScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Document storeRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.35
Rank#116  Overall
#22  Document stores
Score1.04
Rank#191  Overall
#89  Relational DBMS
Websitewww.gigaspaces.compouchdb.comvitess.io
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlpouchdb.com/­guidesvitess.io/­docs
DeveloperDrizzle project, originally started by Brian AkerGigaspaces TechnologiesApache Software FoundationThe Linux Foundation, PlanetScale
Initial release2008200020122013
Current release7.2.4, September 201215.5, September 20207.1.1, June 201915.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2; Commercial licenses availableOpen SourceOpen Source infoApache Version 2.0, commercial licenses 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++Java, C++, .NetJavaScriptGo
Server operating systemsFreeBSD
Linux
OS X
Linux
macOS
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Docker
Linux
macOS
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.no infoXML can be used for describing objects metadatano
Secondary indexesyesyesyes infovia viewsyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-99 for query and DML statementsnoyes infowith proprietary extensions
APIs and other access methodsJDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP REST infoonly for PouchDB Server
JavaScript API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C++
Java
PHP
.Net
C++
Java
Python
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 proceduresnoyesView functions in JavaScriptyes infoproprietary syntax
Triggersno infohooks for callbacks inside the server can be used.yes, event driven architectureyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding 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 replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-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 infoMap-Reduce pattern can be built with XAP task executorsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes 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.yesyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access controlnoUsers with fine-grained authorization concept infono user groups or roles

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More resources
DrizzleGigaSpacesPouchDBVitess
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