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DBMS > Drizzle vs. GeoMesa vs. GridGain vs. RethinkDB vs. SwayDB

System Properties Comparison Drizzle vs. GeoMesa vs. GridGain vs. RethinkDB vs. SwayDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGeoMesa  Xexclude from comparisonGridGain  Xexclude from comparisonRethinkDB  Xexclude from comparisonSwayDB  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.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.GridGain is an in-memory computing platform, built on Apache IgniteDBMS for the Web with a mechanism to push updated query results to applications in realtime.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSSpatial DBMSKey-value store
Relational DBMS
Document storeKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitewww.geomesa.orgwww.gridgain.comrethinkdb.comswaydb.simer.au
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.gridgain.com/­docs/­index.htmlrethinkdb.com/­docs
DeveloperDrizzle project, originally started by Brian AkerCCRi and othersGridGain Systems, Inc.The Linux Foundation infosince July 2017Simer Plaha
Initial release20082014200720092018
Current release7.2.4, September 20125.0.0, May 2024GridGain 8.5.12.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ScalaJava, C++, .NetC++Scala
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, binary, float, bool, date, geometryno
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.noyesnono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsnoANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC
C++
Java
PHP
C#
C++
Java
PHP
Python
Ruby
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)no
Triggersno infohooks for callbacks inside the server can be used.noyes (cache interceptors and events)Client-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layerShardingSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
depending on storage layeryes (replicated cache)Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDAtomic single-document operationsAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesnoyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPyes infodepending on the DBMS used for storageSecurity Hooks for custom implementationsyes infousers and table-level permissionsno

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More resources
DrizzleGeoMesaGridGainRethinkDBSwayDB
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