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DBMS > Amazon Neptune vs. GridGain vs. Microsoft Access vs. OpenEdge vs. VelocityDB

System Properties Comparison Amazon Neptune vs. GridGain vs. Microsoft Access vs. OpenEdge vs. VelocityDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOpenEdge  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudGridGain is an in-memory computing platform, built on Apache IgniteMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Application development environment with integrated database management systemA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Relational DBMSRelational DBMSGraph DBMS
Object oriented 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
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websiteaws.amazon.com/­neptunewww.gridgain.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.progress.com/­openedgevelocitydb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.gridgain.com/­docs/­index.htmldeveloper.microsoft.com/­en-us/­accessdocumentation.progress.com/­output/­ua/­OpenEdge_latestvelocitydb.com/­UserGuide
DeveloperAmazonGridGain Systems, Inc.MicrosoftProgress Software CorporationVelocityDB Inc
Initial release20172007199219842011
Current releaseGridGain 8.5.11902 (16.0.11328.20222), March 2019OpenEdge 12.2, March 20207.x
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft Officecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++C#
Server operating systemshostedLinux
OS X
Solaris
Windows
Windows infoNot a real database server, but making use of DLLsAIX
HP-UX
Linux
Solaris
Windows
Any that supports .NET
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.noyesyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyes infobut not compliant to any SQL standardyes 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
DAO
ODBC
OLE DB
JDBC
ODBC
.Net
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Progress proprietary ABL (Advanced Business Language).Net
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yes infosince Access 2010 using the ACE-engineyesno
Triggersnoyes (cache interceptors and events)yes infosince Access 2010 using the ACE-engineyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonehorizontal partitioning infosince Version 11.4Sharding
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)noneSource-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 dataACIDACIDACID infobut no files for transaction loggingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Security Hooks for custom implementationsno infoa simple user-level security was built in till version Access 2003Users and groupsBased on Windows Authentication

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More resources
Amazon NeptuneGridGainMicrosoft AccessOpenEdgeVelocityDB
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