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DBMS > IBM Db2 Event Store vs. Spark SQL vs. Trafodion

System Properties Comparison IBM Db2 Event Store vs. Spark SQL vs. Trafodion

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMS
Primary database modelEvent Store
Time Series DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#240  Overall
#2  Event Stores
#14  Time Series DBMS
Score16.95
Rank#35  Overall
#21  Relational DBMS
Score0.43
Rank#218  Overall
#104  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storespark.apache.org/­sqltrafodion.apache.org
Technical documentationwww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_1.1.2/­eventstore/­welcome.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org
DeveloperIBMApache Software FoundationApache Software Foundation, originally developed by HP
Initial release201720142014
Current release1.1.3v2.4.4, September 20192.3.0, February 2019
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, ScalaScalaC++, Java
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Windows
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesnonoyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesJava
Python
Scala
Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonoJava Stored Procedures
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replicationyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlUser level access controlnofine grained access rights according to SQL-standard

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More resources
IBM Db2 Event StoreSpark SQLTrafodion
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