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

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

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonopenGemini  Xexclude from comparisonOrigoDB  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 casesAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityA fully ACID in-memory object graph database
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Time Series DBMSDocument store
Object oriented DBMS
Secondary database modelsTime Series DBMS
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
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitegeospock.comwww.ibm.com/­products/­db2-event-storewww.opengemini.org
github.com/­openGemini
origodb.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.opengemini.org/­guideorigodb.com/­docs
DeveloperGeoSpockIBMHuawei and openGemini communityRobert Friberg et al
Initial release201720222009 infounder the name LiveDB
Current release2.0, September 20192.01.1, July 2023
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoApache Version 2.0Open Source
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++GoC#
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionLinux
Windows
Linux
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesInteger, Float, Boolean, StringUser defined using .NET types and collections
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.nononono infocan be achieved using .NET
Secondary indexestemporal, categoricalnoyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)yes infothrough the embedded Spark runtimeSQL-like query languageno
APIs and other access methodsJDBCADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP REST.NET Client API
HTTP API
LINQ
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
Server-side scripts infoStored proceduresnoyesnoyes
Triggersnononoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
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 storageyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights for users can be defined per tablefine grained access rights according to SQL-standardAdministrators and common users accountsRole based authorization

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More resources
GeoSpockIBM Db2 Event StoreopenGeminiOrigoDB
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