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DBMS > atoti vs. GridGain vs. Microsoft Azure SQL Database vs. Stardog

System Properties Comparison atoti vs. GridGain vs. Microsoft Azure SQL Database vs. Stardog

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.GridGain is an in-memory computing platform, built on Apache IgniteDatabase as a Service offering with high compatibility to Microsoft SQL ServerEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelObject oriented DBMSKey-value store
Relational DBMS
Relational DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websiteatoti.iowww.gridgain.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.stardog.com
Technical documentationdocs.atoti.iowww.gridgain.com/­docs/­index.htmldocs.microsoft.com/­en-us/­azure/­azure-sqldocs.stardog.com
DeveloperActiveViamGridGain Systems, Inc.MicrosoftStardog-Union
Initial release200720102010
Current releaseGridGain 8.5.1V127.3.0, May 2020
License infoCommercial or Open Sourcecommercial infofree versions 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 servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .NetC++Java
Server operating systemsLinux
OS X
Solaris
Windows
hostedLinux
macOS
Windows
Data schemeyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyes
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.yesyesno infoImport/export of XML data possible
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLMultidimensional Expressions (MDX)ANSI-99 for query and DML statements, subset of DDLyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
GraphQL 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++
Java
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresPythonyes (compute grid and cache interceptors can be used instead)Transact SQLuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes (cache interceptors and events)yesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes, with always 3 replicas availableMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yesyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
atotiGridGainMicrosoft Azure SQL Database infoformerly SQL AzureStardog
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