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DBMS > IBM Db2 Event Store vs. Interbase vs. Kinetica vs. Microsoft Azure Table Storage

System Properties Comparison IBM Db2 Event Store vs. Interbase vs. Kinetica vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonInterbase  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesLight-weight proven RDBMS infooriginally from BorlandFully vectorized database across both GPUs and CPUsA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelEvent Store
Time Series DBMS
Relational DBMSRelational DBMSWide column store
Secondary database modelsSpatial DBMS
Time Series 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
Score3.78
Rank#77  Overall
#41  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score3.55
Rank#80  Overall
#6  Wide column stores
Websitewww.ibm.com/­products/­db2-event-storewww.embarcadero.com/­products/­interbasewww.kinetica.comazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.embarcadero.com/­products/­interbasedocs.kinetica.com
DeveloperIBMEmbarcaderoKineticaMicrosoft
Initial release2017198420122012
Current release2.0InterBase 2020, December 20197.1, August 2021
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++CC, C++
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionAndroid
iOS
Linux
OS X
Windows
Linuxhosted
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 infoexport as XML data possiblenono
Secondary indexesnoyesyesno
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyesSQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes infoInterbase procedure and trigger languageuser defined functionsno
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationInterbase Change ViewsSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles on table levelAccess rights based on private key authentication or shared access signatures

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More resources
IBM Db2 Event StoreInterbaseKineticaMicrosoft Azure Table Storage
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