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DBMS > GreptimeDB vs. IBM Db2 warehouse vs. PostgreSQL vs. TDengine

System Properties Comparison GreptimeDB vs. IBM Db2 warehouse vs. PostgreSQL vs. TDengine

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyCloud-based data warehousing serviceWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLTime Series DBMS and big data platform
Primary database modelTime Series DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitegreptime.comwww.ibm.com/­products/­db2/­warehousewww.postgresql.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.greptime.comwww.postgresql.org/­docsdocs.tdengine.com
DeveloperGreptime Inc.IBMPostgreSQL Global Development Group infowww.postgresql.org/­developerTDEngine, previously Taos Data
Initial release202220141989 info1989: Postgres, 1996: PostgreSQL2019
Current release16.3, May 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSDOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustCC
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
hostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Windows
Data schemeschema-free, schema definition possibleyesyesyes
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 infoImport/export of XML data possibleyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesyesyes infostandard with numerous extensionsStandard SQL with extensions for time-series applications
APIs and other access methodsgRPC
HTTP API
JDBC
.NET Client API
JDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
RESTful HTTP API
Supported programming languagesC++
Erlang
Go
Java
JavaScript
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresPythonPL/SQL, SQL PLuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersyesyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infoother methods possible by using 3rd party extensionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlSimple rights management via user accountsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes
More information provided by the system vendor
GreptimeDBIBM Db2 warehouse infoformerly named IBM dashDBPostgreSQLTDengine
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
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Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
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Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
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TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
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Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
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TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
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Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
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