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DBMS > Drizzle vs. EJDB vs. Geode vs. GeoSpock vs. RisingWave

System Properties Comparison Drizzle vs. EJDB vs. Geode vs. GeoSpock vs. RisingWave

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonEJDB  Xexclude from comparisonGeode  Xexclude from comparisonGeoSpock  Xexclude from comparisonRisingWave  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.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Embeddable document-store database library with JSON representation of queries (in MongoDB style)Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesSpatial and temporal data processing engine for extreme data scaleA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelRelational DBMSDocument storeKey-value storeRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbgeode.apache.orggeospock.comwww.risingwave.com/­database
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdgeode.apache.org/­docsdocs.risingwave.com/­docs/­current/­intro
DeveloperDrizzle project, originally started by Brian AkerSoftmotionsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GeoSpockRisingWave Labs
Initial release2008201220022022
Current release7.2.4, September 20121.1, February 20172.0, September 20191.2, September 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoGPLv2Open Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJavaJava, JavascriptRust
Server operating systemsFreeBSD
Linux
OS X
server-lessAll OS with a Java VM infothe JDK (8 or later) is also requiredhostedDocker
Linux
macOS
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyesStandard SQL-types and JSON
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 indexesyesnonotemporal, categoricalyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoSQL-like query language (OQL)ANSI SQL for query only (using Presto)yes
APIs and other access methodsJDBCin-process shared libraryJava Client API
Memcached protocol
RESTful HTTP API
JDBCJDBC
PostgreSQL wire protocol
Supported programming languagesC
C++
Java
PHP
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
All JVM based languages
C++
Groovy
Java
Scala
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonouser defined functionsnoUDFs in Python or Java
Triggersno infohooks for callbacks inside the server can be used.noyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes, on a single nodenono
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes
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.yesnoyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoAccess rights per client and object definableAccess rights for users can be defined per tableUsers and Roles

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More resources
DrizzleEJDBGeodeGeoSpockRisingWave
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