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DBMS > PostgreSQL vs. Sphinx vs. TDengine

System Properties Comparison PostgreSQL vs. Sphinx vs. TDengine

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Editorial information provided by DB-Engines
NamePostgreSQL  Xexclude from comparisonSphinx  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLOpen source search engine for searching in data from different sources, e.g. relational databasesTime Series DBMS and big data platform
Primary database modelRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Search engineTime 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
Score620.75
Rank#4  Overall
#4  Relational DBMS
Score6.05
Rank#70  Overall
#8  Search engines
Score2.62
Rank#128  Overall
#9  Time Series DBMS
Websitewww.postgresql.orgsphinxsearch.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.postgresql.org/­docssphinxsearch.com/­docsdocs.tdengine.com
DeveloperPostgreSQL Global Development Group infowww.postgresql.org/­developerSphinx Technologies Inc.TDEngine, previously Taos Data
Initial release1989 info1989: Postgres, 1996: PostgreSQL20012019
Current release16.0, September 20233.5.1, February 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for PostgreSQL: Fully managed and hosted PostgreSQL® with 70+ extensions and orchestration tooling included.
Implementation languageCC++C
Server operating systemsFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesnoyes
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.yes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLyes infostandard with numerous extensionsSQL-like query language (SphinxQL)Standard SQL with extensions for time-series applications
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocolJDBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nono
Triggersyesnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and (since PostgreSQL 11) by hashSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes
More information provided by the system vendor
PostgreSQLSphinxTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance: TDengine is purpose-built for handling massive industrial datasets,...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 21,000 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
News

TDengine High Availability Cluster
18 September 2023

TDengine 3.1.1.0 Release Notes
4 September 2023

What Is the Industrial IoT?
31 August 2023

Ingesting Data from PI System
15 August 2023

What Is a Data Historian?
10 August 2023

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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Redgate webinars: A series of key topics for new PostgreSQL users.
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Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
PostgreSQLSphinxTDengine
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Conferences and events

PostgreSQL 101: An introduction to Multi-Version Concurrency Control and Vacuum
Webinar with Q&A, 11am CT / 5pm BST, 24 October 2023

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