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DBMS > Apache Pinot vs. EDB Postgres vs. Postgres-XL vs. TDengine

System Properties Comparison Apache Pinot vs. EDB Postgres vs. Postgres-XL vs. TDengine

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonEDB Postgres  Xexclude from comparisonPostgres-XL  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresTime Series DBMS and big data platform
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitepinot.apache.orgwww.enterprisedb.comwww.postgres-xl.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.pinot.apache.orgwww.enterprisedb.com/­docswww.postgres-xl.org/­documentationdocs.tdengine.com
DeveloperApache Software Foundation and contributorsEnterpriseDBTDEngine, previously Taos Data
Initial release201520052014 infosince 2012, originally named StormDB2019
Current release1.0.0, September 202314, December 202110 R1, October 20183.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoBSD for PostgreSQL-componentsOpen Source infoMozilla public licenseOpen 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 languageJavaCCC
Server operating systemsAll OS with a Java JDK11 or higherLinux
Windows
Linux
macOS
Linux
Windows
Data schemeyesyesyesyes
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.yes infospecific XML-type available, but no XML query functionality.yes infoXML type, but no XML query functionalityno
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like query languageyes infostandard with numerous extensionsyes infodistributed, parallel query executionStandard SQL with extensions for time-series applications
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
RESTful HTTP API
Supported programming languagesGo
Java
Python
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
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.user defined functionsno
Triggersyesyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning infoby hash, list or rangehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes
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 integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes
More information provided by the system vendor
Apache PinotEDB PostgresPostgres-XLTDengine
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
Apache PinotEDB PostgresPostgres-XLTDengine
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