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DBMS > Amazon Neptune vs. GridGain vs. gStore vs. HugeGraph vs. OpenEdge

System Properties Comparison Amazon Neptune vs. GridGain vs. gStore vs. HugeGraph vs. OpenEdge

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGridGain  Xexclude from comparisongStore  Xexclude from comparisonHugeGraph  Xexclude from comparisonOpenEdge  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudGridGain is an in-memory computing platform, built on Apache IgniteA native Graph DBMS to store and maintain very large RDF datasets.A fast-speed and highly-scalable Graph DBMSApplication development environment with integrated database management system
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Graph DBMS
RDF store
Graph 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
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.14
Rank#342  Overall
#34  Graph DBMS
#16  RDF stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Websiteaws.amazon.com/­neptunewww.gridgain.comen.gstore.cngithub.com/­hugegraph
hugegraph.apache.org
www.progress.com/­openedge
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.gridgain.com/­docs/­index.htmlen.gstore.cn/­#/­enDocshugegraph.apache.org/­docsdocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperAmazonGridGain Systems, Inc.BaiduProgress Software Corporation
Initial release20172007201620181984
Current releaseGridGain 8.5.11.2, November 20230.9OpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDOpen Source infoApache Version 2.0commercial
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++Java
Server operating systemshostedLinux
OS X
Solaris
Windows
LinuxLinux
macOS
Unix
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesschema-free and OWL/RDFS-schema supportyesyes
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.noyesnonoyes
Secondary indexesnoyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnonoyes infoclose to SQL 92
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
HTTP API
SPARQL 1.1
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
PHP
Python
Groovy
Java
Python
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yesasynchronous Gremlin script jobsyes
Triggersnoyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal 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 infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)novia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACIDACID
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.yesnoyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Security Hooks for custom implementationsUsers, roles and permissions, Role-Based Access Control (RBAC) supportedUsers, roles and permissionsUsers and groups

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More resources
Amazon NeptuneGridGaingStoreHugeGraphOpenEdge
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