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DBMS > IBM Db2 Event Store vs. Netezza vs. SQream DB vs. TimesTen

System Properties Comparison IBM Db2 Event Store vs. Netezza vs. SQream DB vs. TimesTen

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSQream DB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesData warehouse and analytics appliance part of IBM PureSystemsa GPU-based, columnar RDBMS for big data analytics workloadsAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelEvent Store
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score0.62
Rank#234  Overall
#109  Relational DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.ibm.com/­products/­netezzasqream.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.sqream.comdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperIBMIBMSQream TechnologiesOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2017200020171998
Current release2.02022.1.6, December 2022Release 22.1
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialcommercialcommercial
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++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux infoincluded in applianceLinuxIBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyes
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.nono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyesyesyes
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
.Net
JDBC
ODBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Fortran
Java
Lua
Perl
Python
R
C++
Java
JavaScript (Node.js)
Python
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresyesyesuser defined functions in PythonPL/SQL
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
IBM Db2 Event StoreNetezza infoAlso called PureData System for Analytics by IBMSQream DBTimesTen
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