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DBMS > InfluxDB vs. Ingres vs. Microsoft Access vs. TDengine

System Properties Comparison InfluxDB vs. Ingres vs. Microsoft Access vs. TDengine

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonIngres  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsWell established RDBMSMicrosoft 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.)Time Series DBMS and big data platform
Primary database modelTime Series DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS infowith GEO packageRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.actian.com/­databases/­ingreswww.microsoft.com/­en-us/­microsoft-365/­accessgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.influxdata.com/­influxdbdocs.actian.com/­ingresdeveloper.microsoft.com/­en-us/­accessdocs.tdengine.com
DeveloperActian CorporationMicrosoftTDEngine, previously Taos Data
Initial release20131974 infooriginally developed at University Berkely in early 1970s19922019
Current release2.7.6, April 202411.2, May 20221902 (16.0.11328.20222), March 20193.0, August 2022
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercialcommercial infoBundled with Microsoft OfficeOpen 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 languageGoCC++C
Server operating systemsLinux
OS X infothrough Homebrew
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Windows infoNot a real database server, but making use of DLLsLinux
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyesyes
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 infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesnoyesyesno
SQL infoSupport of SQLSQL-like query languageyesyes infobut not compliant to any SQL standardStandard SQL with extensions for time-series applications
APIs and other access methodsHTTP API
JSON over UDP
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
DAO
ODBC
OLE DB
JDBC
RESTful HTTP API
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyesyes infosince Access 2010 using the ACE-engineno
Triggersnoyesyes infosince Access 2010 using the ACE-engineyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyhorizontal partitioning infoIngres Star to access multiple databases simultaneouslynoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyIngres Replicatornoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineno
User concepts infoAccess controlsimple rights management via user accountsfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003yes
More information provided by the system vendor
InfluxDBIngresMicrosoft AccessTDengine
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
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Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
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TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
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Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
InfluxDBIngresMicrosoft AccessTDengine
DB-Engines blog posts

Why Build a Time Series Data Platform?
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