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DBMS > GeoSpock vs. IBM Db2 Event Store vs. OrigoDB vs. PostgreSQL

System Properties Comparison GeoSpock vs. IBM Db2 Event Store vs. OrigoDB vs. PostgreSQL

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonOrigoDB  Xexclude from comparisonPostgreSQL  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleDistributed Event Store optimized for Internet of Things use casesA fully ACID in-memory object graph databaseWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Document store
Object oriented DBMS
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsTime Series DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitegeospock.comwww.ibm.com/­products/­db2-event-storeorigodb.comwww.postgresql.org
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storeorigodb.com/­docswww.postgresql.org/­docs
DeveloperGeoSpockIBMRobert Friberg et alPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20172009 infounder the name LiveDB1989 info1989: Postgres, 1996: PostgreSQL
Current release2.0, September 20192.016.3, May 2024
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen SourceOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptC and C++C#C
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionLinux
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETyes infospecific XML-type available, but no XML query functionality.
Secondary indexestemporal, categoricalnoyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)yes infothrough the embedded Spark runtimenoyes infostandard with numerous extensions
APIs and other access methodsJDBCADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyesyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnonoyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioning infoclient side managed; servers are not synchronizedpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users can be defined per tablefine grained access rights according to SQL-standardRole based authorizationfine grained access rights according to SQL-standard

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More resources
GeoSpockIBM Db2 Event StoreOrigoDBPostgreSQL
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