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DBMS > EventStoreDB vs. Geode vs. Greenplum vs. Microsoft Azure AI Search vs. Yaacomo

System Properties Comparison EventStoreDB vs. Geode vs. Greenplum vs. Microsoft Azure AI Search vs. Yaacomo

Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonGeode  Xexclude from comparisonGreenplum  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Search-as-a-service for web and mobile app developmentOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelEvent StoreKey-value storeRelational DBMSSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score1.86
Rank#134  Overall
#24  Key-value stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Websitewww.eventstore.comgeode.apache.orggreenplum.orgazure.microsoft.com/­en-us/­services/­searchyaacomo.com
Technical documentationdevelopers.eventstore.comgeode.apache.org/­docsdocs.greenplum.orglearn.microsoft.com/­en-us/­azure/­search
DeveloperEvent Store LimitedOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Pivotal Software Inc.MicrosoftQ2WEB GmbH
Initial release20122002200520152009
Current release21.2, February 20211.1, February 20177.0.0, September 2023V1
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinux
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinuxhostedAndroid
Linux
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infosince Version 4.2nono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query language (OQL)yesnoyes
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP APIJDBC
ODBC
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C
Java
Perl
Python
R
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsyesno
Triggersyes infoCache Event Listenersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationyes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlAccess rights per client and object definablefine grained access rights according to SQL-standardyes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
EventStoreDBGeodeGreenplumMicrosoft Azure AI SearchYaacomo
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