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DBMS > GridDB vs. Ingres vs. Prometheus vs. Stardog

System Properties Comparison GridDB vs. Ingres vs. Prometheus vs. Stardog

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonIngres  Xexclude from comparisonPrometheus  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataWell established RDBMSOpen-source Time Series DBMS and monitoring systemEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSGraph DBMS
RDF store
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitegriddb.netwww.actian.com/­databases/­ingresprometheus.iowww.stardog.com
Technical documentationdocs.griddb.netdocs.actian.com/­ingresprometheus.io/­docsdocs.stardog.com
DeveloperToshiba CorporationActian CorporationStardog-Union
Initial release20131974 infooriginally developed at University Berkely in early 1970s20152010
Current release5.1, August 202211.2, May 20227.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialOpen Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CGoJava
Server operating systemsLinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Windows
Linux
macOS
Windows
Data schemeyesyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesNumeric data onlyyes
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.nono infobut tools for importing/exporting data from/to XML-files availableno infoImport of XML data possibleno infoImport/export of XML data possible
Secondary indexesyesyesnoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)yesnoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
RESTful HTTP/JSON APIGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoyesnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesyesnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationIngres Replicatoryes infoby FederationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencynoneImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyesnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
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.yesnonoyes
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardnoAccess rights for users and roles
More information provided by the system vendor
GridDBIngresPrometheusStardog
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

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

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More resources
GridDBIngresPrometheusStardog
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