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DBMS > Amazon Neptune vs. Graph Engine vs. GridGain vs. Microsoft Azure Synapse Analytics vs. OpenEdge

System Properties Comparison Amazon Neptune vs. Graph Engine vs. GridGain vs. Microsoft Azure Synapse Analytics vs. OpenEdge

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOpenEdge  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineGridGain is an in-memory computing platform, built on Apache IgniteElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerApplication development environment with integrated database management system
Primary database modelGraph DBMS
RDF store
Graph DBMS
Key-value store
Key-value store
Relational DBMS
Relational DBMSRelational 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
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Websiteaws.amazon.com/­neptunewww.graphengine.iowww.gridgain.comazure.microsoft.com/­services/­synapse-analyticswww.progress.com/­openedge
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.graphengine.io/­docs/­manualwww.gridgain.com/­docs/­index.htmldocs.microsoft.com/­azure/­synapse-analyticsdocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperAmazonMicrosoftGridGain Systems, Inc.MicrosoftProgress Software Corporation
Initial release20172010200720161984
Current releaseGridGain 8.5.1OpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CJava, C++, .NetC++
Server operating systemshosted.NETLinux
OS X
Solaris
Windows
hostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesyesyesyes
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.nonoyesnoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLyesyes infoclose to SQL 92
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
F#
Visual Basic
C#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
PHP
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresnoyesyes (compute grid and cache interceptors can be used instead)Transact SQLyes
Triggersnonoyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingSharding, horizontal partitioninghorizontal 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)yesSource-replica replication
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Security Hooks for custom implementationsyesUsers and groups

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More resources
Amazon NeptuneGraph Engine infoformer name: TrinityGridGainMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOpenEdge
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