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DBMS > Kdb vs. Microsoft Access vs. Prometheus vs. TDengine

System Properties Comparison Kdb vs. Microsoft Access vs. Prometheus vs. TDengine

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPrometheus  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionHigh performance Time Series DBMSMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Open-source Time Series DBMS and monitoring systemTime Series DBMS and big data platform
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitekx.comwww.microsoft.com/­en-us/­microsoft-365/­accessprometheus.iogithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationcode.kx.comdeveloper.microsoft.com/­en-us/­accessprometheus.io/­docsdocs.tdengine.com
DeveloperKx Systems, a division of First Derivatives plcMicrosoftTDEngine, previously Taos Data
Initial release2000 infokdb was released 2000, kdb+ in 2003199220152019
Current release3.6, May 20181902 (16.0.11328.20222), March 20193.0, August 2022
License infoCommercial or Open Sourcecommercial infofree 32-bit versioncommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqC++GoC
Server operating systemsLinux
OS X
Solaris
Windows
Windows infoNot a real database server, but making use of DLLsLinux
Windows
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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.yesno infoImport of XML data possibleno
Secondary indexesyes infotable attribute 'grouped'yesnono
SQL infoSupport of SQLSQL-like query language (q)yes infobut not compliant to any SQL standardnoStandard SQL with extensions for time-series applications
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP/JSON APIJDBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsyes infosince Access 2010 using the ACE-enginenono
Triggersyes infowith viewsyes infosince Access 2010 using the ACE-enginenoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes infoby Federationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlrights management via user accountsno infoa simple user-level security was built in till version Access 2003noyes
More information provided by the system vendor
KdbMicrosoft AccessPrometheusTDengine
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...
» more
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...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
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
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