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DBMS > IBM Db2 Event Store vs. Kdb vs. Microsoft Azure Table Storage vs. TDengine

System Properties Comparison IBM Db2 Event Store vs. Kdb vs. Microsoft Azure Table Storage vs. TDengine

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonKdb  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesHigh performance Time Series DBMSA Wide Column Store for rapid development using massive semi-structured datasetsTime Series DBMS and big data platform
Primary database modelEvent Store
Time Series DBMS
Time Series DBMS
Vector DBMS
Wide column storeTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitewww.ibm.com/­products/­db2-event-storekx.comazure.microsoft.com/­en-us/­services/­storage/­tablesgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storecode.kx.comdocs.tdengine.com
DeveloperIBMKx Systems, a division of First Derivatives plcMicrosoftTDEngine, previously Taos Data
Initial release20172000 infokdb was released 2000, kdb+ in 200320122019
Current release2.03.6, May 20183.0, August 2022
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercial infofree 32-bit versioncommercialOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++qC
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Solaris
Windows
hostedLinux
Windows
Data schemeyesyesschema-freeyes
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.noyesnono
Secondary indexesnoyes infotable attribute 'grouped'nono
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeSQL-like query language (q)noStandard SQL with extensions for time-series applications
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP APIJDBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyesuser defined functionsnono
Triggersnoyes infowith viewsnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic locking
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsAccess rights based on private key authentication or shared access signaturesyes
More information provided by the system vendor
IBM Db2 Event StoreKdbMicrosoft Azure Table StorageTDengine
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsupon request
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
IBM Db2 Event StoreKdbMicrosoft Azure Table StorageTDengine
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