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DBMS > EventStoreDB vs. Greenplum vs. HBase vs. LevelDB vs. RDF4J

System Properties Comparison EventStoreDB vs. Greenplum vs. HBase vs. LevelDB vs. RDF4J

Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonGreenplum  Xexclude from comparisonHBase  Xexclude from comparisonLevelDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Analytic 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.Wide-column store based on Apache Hadoop and on concepts of BigTableEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelEvent StoreRelational DBMSWide column storeKey-value storeRDF store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.74
Rank#222  Overall
#9  RDF stores
Websitewww.eventstore.comgreenplum.orghbase.apache.orggithub.com/­google/­leveldbrdf4j.org
Technical documentationdevelopers.eventstore.comdocs.greenplum.orghbase.apache.org/­book.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdrdf4j.org/­documentation
DeveloperEvent Store LimitedPivotal Software Inc.Apache Software Foundation infoApache top-level project, originally developed by PowersetGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20122005200820112004
Current release21.2, February 20217.0.0, September 20232.3.4, January 20211.23, February 2021
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0Open Source infoApache version 2Open Source infoBSDOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsLinux
Windows
LinuxLinux
Unix
Windows infousing Cygwin
Illumos
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-free, schema definition possibleschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROnoyes
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.yes infosince Version 4.2nono
Secondary indexesyesnonoyes
SQL infoSupport of SQLyesnonono
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
Thrift
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC
Java
Perl
Python
R
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
PHP
Python
Server-side scripts infoStored proceduresyesyes infoCoprocessors in Javanoyes
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)noACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnono

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More resources
EventStoreDBGreenplumHBaseLevelDBRDF4J infoformerly known as Sesame
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