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DBMS > Bangdb vs. Microsoft Access vs. STSdb vs. TDengine

System Properties Comparison Bangdb vs. Microsoft Access vs. STSdb vs. TDengine

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSTSdb  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphMicrosoft 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.)Key-Value Store with special method for indexing infooptimized for high performance using a special indexing methodTime Series DBMS and big data platform
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSKey-value storeTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitebangdb.comwww.microsoft.com/­en-us/­microsoft-365/­accessgithub.com/­STSSoft/­STSdb4github.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.bangdb.comdeveloper.microsoft.com/­en-us/­accessdocs.tdengine.com
DeveloperSachin Sinha, BangDBMicrosoftSTS Soft SCTDEngine, previously Taos Data
Initial release2012199220112019
Current releaseBangDB 2.0, October 20211902 (16.0.11328.20222), March 20194.0.8, September 20153.0, August 2022
License infoCommercial or Open SourceOpen Source infoBSD 3commercial infoBundled with Microsoft OfficeOpen Source infoGPLv2, commercial license availableOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++C#C
Server operating systemsLinuxWindows infoNot a real database server, but making use of DLLsWindowsLinux
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyes infoprimitive types and user defined types (classes)yes
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
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesnono
SQL infoSupport of SQLSQL like support with command line toolyes infobut not compliant to any SQL standardnoStandard SQL with extensions for time-series applications
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
.NET Client APIJDBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-enginenono
Triggersyes, Notifications (with Streaming only)yes infosince Access 2010 using the ACE-enginenoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)nonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordingly
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyes 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.yes, run db with in-memory only mode
User concepts infoAccess controlyes (enterprise version only)no infoa simple user-level security was built in till version Access 2003noyes
More information provided by the system vendor
BangdbMicrosoft AccessSTSdbTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
BangdbMicrosoft AccessSTSdbTDengine
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