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DBMS > Amazon Neptune vs. AntDB vs. Fujitsu Enterprise Postgres vs. OrientDB vs. Sqrrl

System Properties Comparison Amazon Neptune vs. AntDB vs. Fujitsu Enterprise Postgres vs. OrientDB vs. Sqrrl

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAntDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonOrientDB  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the cloudA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Multi-model DBMS (Document, Graph, Key/Value)Adaptable, secure NoSQL built on Apache Accumulo
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Document store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
Spatial 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
Score0.23
Rank#317  Overall
#141  Relational DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Websiteaws.amazon.com/­neptunewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmlwww.postgresql.fastware.comorientdb.orgsqrrl.com
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.postgresql.fastware.com/­product-manualswww.orientdb.com/­docs/­last/­index.html
DeveloperAmazonAsiaInfo Technologies LimitedPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyOrientDB LTD; CallidusCloud; SAPAmazon infooriginally Sqrrl Data, Inc.
Initial release201720102012
Current releaseFujitsu Enterprise Postgres 14, January 20223.2.29, March 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaJava
Server operating systemshostedLinux
Windows
All OS with a Java JDK (>= JDK 6)Linux
Data schemeschema-freeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-free
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.nono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL2016 compliantyesSQL-like query language, no joinsno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
MySQL protocol compliant
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnouser defined functionsJava, Javascriptno
TriggersnoyesyesHooksno
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hashShardingSharding infomaking use of Hadoop
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 replicationMulti-source replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocould be achieved with distributed queriesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyesyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.yes
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 and roles; record level security configurableCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Amazon NeptuneAntDBFujitsu Enterprise PostgresOrientDBSqrrl
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