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DBMS > Drizzle vs. Geode vs. Heroic vs. Oracle Coherence vs. Postgres-XL

System Properties Comparison Drizzle vs. Geode vs. Heroic vs. Oracle Coherence vs. Postgres-XL

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGeode  Xexclude from comparisonHeroic  Xexclude from comparisonOracle Coherence  Xexclude from comparisonPostgres-XL  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.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchOracles in-memory data grid solutionBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSKey-value storeTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitegeode.apache.orggithub.com/­spotify/­heroicwww.oracle.com/­java/­coherencewww.postgres-xl.org
Technical documentationgeode.apache.org/­docsspotify.github.io/­heroicdocs.oracle.com/­en/­middleware/­standalone/­coherencewww.postgres-xl.org/­documentation
DeveloperDrizzle project, originally started by Brian AkerOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.SpotifyOracle
Initial release20082002201420072014 infosince 2012, originally named StormDB
Current release7.2.4, September 20121.1, February 201714.1, August 202310 R1, October 2018
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0commercialOpen Source infoMozilla public license
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++JavaJavaJavaC
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VM infothe JDK (8 or later) is also requiredAll OS with a Java VMLinux
macOS
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyes infoXML type, but no XML query functionality
Secondary indexesyesnoyes infovia Elasticsearchnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like query language (OQL)nonoyes infodistributed, parallel query execution
APIs and other access methodsJDBCJava Client API
Memcached protocol
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JCache
JPA
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C++
Java
PHP
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C++
Java
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnouser defined functionsnonouser defined functions
Triggersno infohooks for callbacks inside the server can be used.yes infoCache Event Listenersnoyes infoLive Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationyesyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodenoconfigurableACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights per client and object definableauthentification to access the cache via certificates or http basic authenticationfine grained access rights according to SQL-standard

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More resources
DrizzleGeodeHeroicOracle CoherencePostgres-XL
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