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DBMS > Amazon Neptune vs. GridGain vs. OpenEdge vs. Rockset vs. SQream DB

System Properties Comparison Amazon Neptune vs. GridGain vs. OpenEdge vs. Rockset vs. SQream DB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGridGain  Xexclude from comparisonOpenEdge  Xexclude from comparisonRockset  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudGridGain is an in-memory computing platform, built on Apache IgniteApplication development environment with integrated database management systemA scalable, reliable search and analytics service in the cloud, built on RocksDBa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Relational DBMSDocument storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
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
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websiteaws.amazon.com/­neptunewww.gridgain.comwww.progress.com/­openedgerockset.comsqream.com
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.gridgain.com/­docs/­index.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.rockset.comdocs.sqream.com
DeveloperAmazonGridGain Systems, Inc.Progress Software CorporationRocksetSQream Technologies
Initial release20172007198420192017
Current releaseGridGain 8.5.1OpenEdge 12.2, March 20202022.1.6, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
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 languageJava, C++, .NetC++C++, CUDA, Haskell, Java, Scala
Server operating systemshostedLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
hostedLinux
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesdynamic typingyes, ANSI Standard SQL Types
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 infoingestion from XML files supported
Secondary indexesnoyesyesall fields are automatically indexedno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyes infoclose to SQL 92Read-only SQL queries, including JOINsyes
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
JDBC
ODBC
HTTP REST.Net
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)Go
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yesnouser defined functions in Python
Triggersnoyes (cache interceptors and events)yesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infosince Version 11.4Automatic shardinghorizontal and vertical partitioning
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)Source-replica replicationyesnone
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 ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
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)Security Hooks for custom implementationsUsers and groupsAccess rights for users and organizations can be defined via Rockset console

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More resources
Amazon NeptuneGridGainOpenEdgeRocksetSQream DB
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