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DBMS > GridGain vs. PostgreSQL vs. searchxml vs. TDengine

System Properties Comparison GridGain vs. PostgreSQL vs. searchxml vs. TDengine

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonPostgreSQL  Xexclude from comparisonsearchxml  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLDBMS for structured and unstructured content wrapped with an application serverTime Series DBMS and big data platform
Primary database modelKey-value store
Relational DBMS
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Native XML DBMS
Search engine
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
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitewww.gridgain.comwww.postgresql.orgwww.searchxml.net/­category/­productsgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.postgresql.org/­docswww.searchxml.net/­support/­handoutsdocs.tdengine.com
DeveloperGridGain Systems, Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developerinformationpartners gmbhTDEngine, previously Taos Data
Initial release20071989 info1989: Postgres, 1996: PostgreSQL20152019
Current releaseGridGain 8.5.116.3, May 20241.03.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercialOpen 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 languageJava, C++, .NetCC++C
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
WindowsLinux
Windows
Data schemeyesyesschema-freeyes
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.yesyes infospecific XML-type available, but no XML query functionality.yesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infostandard with numerous extensionsnoStandard SQL with extensions for time-series applications
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
RESTful HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++ infomost other programming languages supported via APIsC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)user defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infoon the application serverno
Triggersyes (cache interceptors and events)yesnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and (since PostgreSQL 11) by hashnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replication infoother methods possible by using 3rd party extensionsyes infosychronisation to multiple collectionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDmultiple readers, single writer
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.yesnono
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardDomain, group and role-based access control at the document level and for application servicesyes
More information provided by the system vendor
GridGainPostgreSQLsearchxmlTDengine
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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8 May 2024

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