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DBMS > EventStoreDB vs. GBase vs. SpaceTime vs. Spark SQL vs. Transbase

System Properties Comparison EventStoreDB vs. GBase vs. SpaceTime vs. Spark SQL vs. Transbase

Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonGBase  Xexclude from comparisonSpaceTime  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.An analytical database for business intelligence with large customers in China.SpaceTime is a spatio-temporal DBMS with a focus on performance.Spark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelEvent StoreRelational DBMSSpatial DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#181  Overall
#1  Event Stores
Score1.04
Rank#190  Overall
#88  Relational DBMS
Score0.00
Rank#396  Overall
#8  Spatial DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.15
Rank#337  Overall
#147  Relational DBMS
Websitewww.eventstore.comwww.gbase.cnwww.mireo.com/­spacetimespark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.html
Technical documentationdevelopers.eventstore.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperEvent Store LimitedMireoApache Software FoundationTransaction Software GmbH
Initial release2012202020141987
Current release21.2, February 2021GBase 8a3.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen SourcecommercialcommercialOpen Source infoApache 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ScalaC and C++
Server operating systemsLinux
Windows
LinuxLinux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesnonoyes
SQL infoSupport of SQLA subset of ANSI SQL is implementedSQL-like DML and DDL statementsyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC#
C++
Python
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesFixed-grid hypercubesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesReal-time block device replication (DRBD)noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlyesnofine grained access rights according to SQL-standard

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More resources
EventStoreDBGBaseSpaceTimeSpark SQLTransbase
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