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DBMS > GridDB vs. Infobright vs. MarkLogic vs. PostgreSQL vs. TimescaleDB

System Properties Comparison GridDB vs. Infobright vs. MarkLogic vs. PostgreSQL vs. TimescaleDB

Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonInfobright  Xexclude from comparisonMarkLogic  Xexclude from comparisonPostgreSQL  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendOperational and transactional Enterprise NoSQL databaseWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelTime Series DBMSRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational 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 modelsKey-value store
Relational DBMS
Document 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
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitegriddb.netignitetech.com/­softwarelibrary/­infobrightdbwww.marklogic.comwww.postgresql.orgwww.timescale.com
Technical documentationdocs.griddb.netdocs.marklogic.comwww.postgresql.org/­docsdocs.timescale.com
DeveloperToshiba CorporationIgnite Technologies Inc.; formerly InfoBright Inc.MarkLogic Corp.PostgreSQL Global Development Group infowww.postgresql.org/­developerTimescale
Initial release2013200520011989 info1989: Postgres, 1996: PostgreSQL2017
Current release5.1, August 202211.0, December 202216.3, May 20242.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial inforestricted free version is availableOpen Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC++CC
Server operating systemsLinuxLinux
Windows
Linux
OS X
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeyesyesschema-free infoSchema can be enforcedyesyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonoyesyes infospecific XML-type available, but no XML query functionality.yes
Secondary indexesyesno infoKnowledge Grid Technology used insteadyesyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)yesyes infoSQL92yes infostandard with numerous extensionsyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoyes infovia XQuery or JavaScriptuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingpartitioning by range, list and (since PostgreSQL 11) by hashyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyesSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDACID infocan act as a resource manager in an XA/JTA transactionACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes, with Range Indexesnono
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
GridDBInfobrightMarkLogicPostgreSQLTimescaleDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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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Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
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pgDash: In-Depth PostgreSQL Monitoring.
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More resources
GridDBInfobrightMarkLogicPostgreSQLTimescaleDB
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