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DBMS > Amazon Neptune vs. Fujitsu Enterprise Postgres vs. GeoSpock vs. Percona Server for MongoDB vs. Rockset

System Properties Comparison Amazon Neptune vs. Fujitsu Enterprise Postgres vs. GeoSpock vs. Percona Server for MongoDB vs. Rockset

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGeoSpock  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonRockset  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the cloudEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Spatial and temporal data processing engine for extreme data scaleA drop-in replacement for MongoDB Community Edition with enterprise-grade features.A scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSDocument storeDocument store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score0.50
Rank#250  Overall
#39  Document stores
Score1.07
Rank#180  Overall
#31  Document stores
Websiteaws.amazon.com/­neptunewww.postgresql.fastware.comgeospock.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodbrockset.com
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.postgresql.fastware.com/­product-manualsdocs.percona.com/­percona-distribution-for-mongodbdocs.rockset.com
DeveloperAmazonPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGeoSpockPerconaRockset
Initial release201720152019
Current releaseFujitsu Enterprise Postgres 14, January 20222.0, September 20193.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, JavascriptC++C++
Server operating systemshostedLinux
Windows
hostedLinuxhosted
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesdynamic typing
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.nononono infoingestion from XML files supported
Secondary indexesnoyestemporal, categoricalyesall fields are automatically indexed
SQL infoSupport of SQLnoyesANSI SQL for query only (using Presto)noRead-only SQL queries, including JOINs
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCproprietary protocol using JSONHTTP REST
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsnoJavaScriptno
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hashAutomatic shardingShardingAutomatic sharding
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.Source-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.noyes infovia In-Memory Engine
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess rights for users can be defined per tableAccess rights for users and rolesAccess rights for users and organizations can be defined via Rockset console

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More resources
Amazon NeptuneFujitsu Enterprise PostgresGeoSpockPercona Server for MongoDBRockset
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