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DBMS > Amazon Neptune vs. Google Cloud Spanner vs. GridGain vs. OpenEdge vs. PouchDB

System Properties Comparison Amazon Neptune vs. Google Cloud Spanner vs. GridGain vs. OpenEdge vs. PouchDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonGridGain  Xexclude from comparisonOpenEdge  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.GridGain is an in-memory computing platform, built on Apache IgniteApplication development environment with integrated database management systemJavaScript DBMS with an API inspired by CouchDB
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value store
Relational DBMS
Relational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websiteaws.amazon.com/­neptunecloud.google.com/­spannerwww.gridgain.comwww.progress.com/­openedgepouchdb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcescloud.google.com/­spanner/­docswww.gridgain.com/­docs/­index.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latestpouchdb.com/­guides
DeveloperAmazonGoogleGridGain Systems, Inc.Progress Software CorporationApache Software Foundation
Initial release20172017200719842012
Current releaseGridGain 8.5.1OpenEdge 12.2, March 20207.1.1, June 2019
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaScript
Server operating systemshostedhostedLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyesyesno
Secondary indexesnoyesyesyesyes infovia views
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011ANSI-99 for query and DML statements, subset of DDLyes infoclose to SQL 92no
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Progress proprietary ABL (Advanced Business Language)JavaScript
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)yesView functions in JavaScript
Triggersnonoyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioning infosince Version 11.4Sharding infowith a proxy-based framework, named couchdb-lounge
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.Multi-source replication with 3 replicas for regional instances.yes (replicated cache)Source-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyes (compute grid and hadoop accelerator)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Security Hooks for custom implementationsUsers and groupsno

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Amazon NeptuneGoogle Cloud SpannerGridGainOpenEdgePouchDB
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