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DBMS > IBM Db2 Event Store vs. Impala vs. STSdb

System Properties Comparison IBM Db2 Event Store vs. Impala vs. STSdb

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonImpala  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesAnalytic DBMS for HadoopKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelEvent Store
Time Series DBMS
Relational DBMSKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#371  Overall
#3  Event Stores
#37  Time Series DBMS
Score18.66
Rank#37  Overall
#23  Relational DBMS
Score0.43
Rank#315  Overall
#43  Key-value stores
Websitewww.ibm.com/­products/­db2-event-storewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlgithub.com/­STSSoft/­STSdb4
Technical documentationwww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_2.0.0/­welcome.htmldocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperIBMClouderaSTS Soft SC
Initial release201720132011
Current release2.04.1.0, June 20224.0.8, September 2015
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoApache Version 2Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++C#
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinuxWindows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)
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 indexesnoyesno
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeSQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
.NET Client API
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
All languages supporting JDBC/ODBCC#
Java
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosno

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More resources
IBM Db2 Event StoreImpalaSTSdb
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