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DBMS > GridDB vs. Microsoft Azure SQL Database vs. Rockset vs. Stardog

System Properties Comparison GridDB vs. Microsoft Azure SQL Database vs. Rockset vs. Stardog

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonRockset  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataDatabase as a Service offering with high compatibility to Microsoft SQL ServerA scalable, reliable search and analytics service in the cloud, built on RocksDBEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelTime Series DBMSRelational DBMSDocument storeGraph DBMS
RDF store
Secondary database modelsKey-value store
Relational DBMS
Document store
Graph DBMS
Spatial DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitegriddb.netazure.microsoft.com/­en-us/­products/­azure-sql/­databaserockset.comwww.stardog.com
Technical documentationdocs.griddb.netdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.rockset.comdocs.stardog.com
DeveloperToshiba CorporationMicrosoftRocksetStardog-Union
Initial release2013201020192010
Current release5.1, August 2022V127.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercialcommercial 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 servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++Java
Server operating systemsLinuxhostedhostedLinux
macOS
Windows
Data schemeyesyesschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesdynamic typingyes
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.noyesno infoingestion from XML files supportedno infoImport/export of XML data possible
Secondary indexesyesyesall fields are automatically indexedyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)yesRead-only SQL queries, including JOINsYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
HTTP RESTGraphQL 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#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoTransact SQLnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesyesnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, with always 3 replicas availableyesMulti-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 ConsistencyEventual ConsistencyImmediate 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 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.yesyes
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset consoleAccess rights for users and roles
More information provided by the system vendor
GridDBMicrosoft Azure SQL Database infoformerly SQL AzureRocksetStardog
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
GridDBMicrosoft Azure SQL Database infoformerly SQL AzureRocksetStardog
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