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DBMS > Amazon Neptune vs. GridGain vs. Microsoft Azure SQL Database vs. OpenEdge vs. TempoIQ

System Properties Comparison Amazon Neptune vs. GridGain vs. Microsoft Azure SQL Database vs. OpenEdge vs. TempoIQ

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOpenEdge  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the cloudGridGain is an in-memory computing platform, built on Apache IgniteDatabase as a Service offering with high compatibility to Microsoft SQL ServerApplication development environment with integrated database management systemScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Websiteaws.amazon.com/­neptunewww.gridgain.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.progress.com/­openedgetempoiq.com (offline)
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.gridgain.com/­docs/­index.htmldocs.microsoft.com/­en-us/­azure/­azure-sqldocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperAmazonGridGain Systems, Inc.MicrosoftProgress Software CorporationTempoIQ
Initial release20172007201019842012
Current releaseGridGain 8.5.1V12OpenEdge 12.2, March 2020
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++
Server operating systemshostedLinux
OS X
Solaris
Windows
hostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesyesyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyesyes infoclose to SQL 92no
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
JDBC
ODBC
HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language)C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)Transact SQLyesno
Triggersnoyes (cache interceptors and events)yesyesyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.yes (replicated cache)yes, with always 3 replicas availableSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Security Hooks for custom implementationsfine grained access rights according to SQL-standardUsers and groupssimple authentication-based access control

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More resources
Amazon NeptuneGridGainMicrosoft Azure SQL Database infoformerly SQL AzureOpenEdgeTempoIQ infoformerly TempoDB
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