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DBMS > HarperDB vs. PostgreSQL vs. TDengine

System Properties Comparison HarperDB vs. PostgreSQL vs. TDengine

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Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLTime Series DBMS and big data platform
Primary database modelDocument storeRelational 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
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.65
Rank#280  Overall
#41  Document stores
Score612.82
Rank#4  Overall
#4  Relational DBMS
Score2.91
Rank#122  Overall
#9  Time Series DBMS
Websiteharperdb.iowww.postgresql.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationharperdb.io/­developers/­documentation/­overviewwww.postgresql.org/­docsdocs.tdengine.com
DeveloperHarperDBPostgreSQL Global Development Group infowww.postgresql.org/­developerTDEngine, previously Taos Data
Initial release20171989 info1989: Postgres, 1996: PostgreSQL2019
Current release3.1, August 202115.3, May 20233.0, August 2022
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoBSDOpen Source infoGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsCC
Server operating systemsLinux
OS X
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Windows
Data schemedynamic schemayesyes
Typing infopredefined data types such as float or dateyes infoJSON data typesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like data manipulation statementsyes infostandard with numerous extensionsStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
RESTful HTTP API
Supported programming languages.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.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 proceduresCustom Functions infosince release 3.1user defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnoyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterpartitioning by range, list and (since PostgreSQL 11) by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedSource-replica replication infoother methods possible by using 3rd party extensionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardyes
More information provided by the system vendor
HarperDBPostgreSQLTDengine
Specific characteristicsTDengine™ is an open-source, cloud-native time-series database (TSDB) optimized for...
» more
Competitive advantagesHigh performance: TDengine is the only time-series database that solves the high-cardinality...
» more
Typical application scenariosInternet of Things (IoT) Industrial Internet (IIoT) Connected Cars DevOps Energy...
» more
Market metricsTDengine has garnered over 20,000 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine Community Edition is open-source software released under the AGPL 3.0 that...
» more
News

What Is a Cloud Time Series Database?
24 May 2023

Simplifying Time Series Analysis for Data Scientists
8 May 2023

Easy Time-Series Analysis with TDengine
5 May 2023

TDengine 3.0.4.0 Release Notes
17 April 2023

TSDB Comparison: TimescaleDB vs. TDengine
25 March 2023

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
HarperDBPostgreSQLTDengine
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