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DBMS > IBM Db2 Event Store vs. SAP IQ vs. Splice Machine vs. XTDB

System Properties Comparison IBM Db2 Event Store vs. SAP IQ vs. Splice Machine vs. XTDB

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparisonSplice Machine  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesColumnar RDBMS optimized for Big Data analyticsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelEvent Store
Time Series DBMS
Relational DBMS infocolumn-orientedRelational DBMSDocument store
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
Score2.75
Rank#104  Overall
#53  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.ibm.com/­products/­db2-event-storewww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.htmlsplicemachine.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storehelp.sap.com/­docs/­SAP_IQsplicemachine.com/­how-it-workswww.xtdb.com/­docs
DeveloperIBMSAP, formerly SybaseSplice MachineJuxt Ltd.
Initial release2017199420142019
Current release2.016.1 SPS04, April 20193.1, March 20211.19, September 2021
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaClojure
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, extensible-data-notation format
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 indexesnoyesyesyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyesyeslimited SQL, making use of Apache Calcite
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
HTTP REST
JDBC
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Java
Perl
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Clojure
Java
Server-side scripts infoStored proceduresyesyesyes infoJavano
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingshared disk or shared nothing architectures with SAP IQ MultiplexerShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationSAP/Sybase Replication ServerMulti-source replication
Source-replica replication
yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
IBM Db2 Event StoreSAP IQ infoformer name: Sybase IQSplice MachineXTDB infoformerly named Crux
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