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DBMS > Amazon Neptune vs. BaseX vs. GridGain vs. OpenEdge vs. RavenDB

System Properties Comparison Amazon Neptune vs. BaseX vs. GridGain vs. OpenEdge vs. RavenDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBaseX  Xexclude from comparisonGridGain  Xexclude from comparisonOpenEdge  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.GridGain is an in-memory computing platform, built on Apache IgniteApplication development environment with integrated database management systemOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelGraph DBMS
RDF store
Native XML DBMSKey-value store
Relational DBMS
Relational DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series 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
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websiteaws.amazon.com/­neptunebasex.orgwww.gridgain.comwww.progress.com/­openedgeravendb.net
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.basex.orgwww.gridgain.com/­docs/­index.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latestravendb.net/­docs
DeveloperAmazonBaseX GmbHGridGain Systems, Inc.Progress Software CorporationHibernating Rhinos
Initial release20172007200719842010
Current release10.7, August 2023GridGain 8.5.1OpenEdge 12.2, March 20205.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSD licensecommercialcommercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetC#
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyesyesno
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.noyesyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLyes infoclose to SQL 92SQL-like query language (RQL)
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C#
C++
Java
PHP
Python
Ruby
Scala
Progress proprietary ABL (Advanced Business Language).Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesyes (compute grid and cache interceptors can be used instead)yesyes
Triggersnoyes infovia eventsyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardinghorizontal 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.noneyes (replicated cache)Source-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDmultiple readers, single writerACIDACIDACID, Cluster-wide transaction available
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.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users with fine-grained authorization concept on 4 levelsSecurity Hooks for custom implementationsUsers and groupsAuthorization levels configured per client per database

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More resources
Amazon NeptuneBaseXGridGainOpenEdgeRavenDB
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