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DBMS > Amazon Neptune vs. GridGain vs. Ingres vs. OpenEdge vs. openGauss

System Properties Comparison Amazon Neptune vs. GridGain vs. Ingres vs. OpenEdge vs. openGauss

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGridGain  Xexclude from comparisonIngres  Xexclude from comparisonOpenEdge  Xexclude from comparisonopenGauss  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudGridGain is an in-memory computing platform, built on Apache IgniteWell established RDBMSApplication development environment with integrated database management systemAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
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
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Websiteaws.amazon.com/­neptunewww.gridgain.comwww.actian.com/­databases/­ingreswww.progress.com/­openedgegitee.com/­opengauss
opengauss.org
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.gridgain.com/­docs/­index.htmldocs.actian.com/­ingresdocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperAmazonGridGain Systems, Inc.Actian CorporationProgress Software CorporationHuawei and openGauss community
Initial release201720071974 infooriginally developed at University Berkely in early 1970s19842019
Current releaseGridGain 8.5.111.2, May 2022OpenEdge 12.2, March 20203.0, March 2022
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetCC, C++, Java
Server operating systemshostedLinux
OS X
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
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.noyesno infobut tools for importing/exporting data from/to XML-files availableyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyesyes infoclose to SQL 92ANSI SQL 2011
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
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Progress proprietary ABL (Advanced Business Language)C
C++
Java
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yesyesyes
Triggersnoyes (cache interceptors and events)yesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyhorizontal partitioning infosince Version 11.4horizontal partitioning (by range, list and hash)
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)Ingres ReplicatorSource-replica replicationSource-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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
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.yesnonono
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 groupsAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon NeptuneGridGainIngresOpenEdgeopenGauss
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