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DBMS > IBM Db2 Event Store vs. openGauss vs. RavenDB vs. Spark SQL vs. Transbase

System Properties Comparison IBM Db2 Event Store vs. openGauss vs. RavenDB vs. Spark SQL vs. Transbase

Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonopenGauss  Xexclude from comparisonRavenDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelEvent Store
Time Series DBMS
Relational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time 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
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storegitee.com/­opengauss
opengauss.org
ravendb.netspark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.html
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.opengauss.org/­en
gitee.com/­opengauss/­docs
ravendb.net/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperIBMHuawei and openGauss communityHibernating RhinosApache Software FoundationTransaction Software GmbH
Initial release20172019201020141987
Current release2.03.0, March 20225.4, July 20223.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen SourceOpen Source infoAGPL version 3, commercial license availableOpen 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 and C++C, C++, JavaC#ScalaC and C++
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinuxLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeANSI SQL 2011SQL-like query language (RQL)SQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Java
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesyesyesnoyes
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash)Shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationSource-replica replicationMulti-source replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction availablenoyes
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardAuthorization levels configured per client per databasenofine grained access rights according to SQL-standard

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More resources
IBM Db2 Event StoreopenGaussRavenDBSpark SQLTransbase
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