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DBMS > Amazon DocumentDB vs. Amazon Neptune vs. HugeGraph vs. PostGIS vs. SAP Adaptive Server

System Properties Comparison Amazon DocumentDB vs. Amazon Neptune vs. HugeGraph vs. PostGIS vs. SAP Adaptive Server

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonHugeGraph  Xexclude from comparisonPostGIS  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFast, reliable graph database built for the cloudA fast-speed and highly-scalable Graph DBMSSpatial extension of PostgreSQLThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS
Primary database modelDocument storeGraph DBMS
RDF store
Graph DBMSSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMSSpatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score35.09
Rank#25  Overall
#17  Relational DBMS
Websiteaws.amazon.com/­documentdbaws.amazon.com/­neptunegithub.com/­hugegraph
hugegraph.apache.org
postgis.netwww.sap.com/­products/­technology-platform/­sybase-ase.html
Technical documentationaws.amazon.com/­documentdb/­resourcesaws.amazon.com/­neptune/­developer-resourceshugegraph.apache.org/­docspostgis.net/­documentationhelp.sap.com/­docs/­SAP_ASE
DeveloperAmazonBaiduSAP, Sybase
Initial release20192017201820051987
Current release0.93.4.2, February 202416.0
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoGPL v2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC and C++
Server operating systemshostedhostedLinux
macOS
Unix
AIX
HP-UX
Linux
Solaris
Unix
Windows
Data schemeschema-freeschema-freeyesyesyes
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.nononoyesno
Secondary indexesyesnoyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnononoyesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Groovy
Java
Python
C
C++
Cobol
Java
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresnonoasynchronous Gremlin script jobsuser defined functionsJava and Transact-SQL
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infobased on PostgreSQLhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-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 infodepending on used storage backend, e.g. Cassandra and HBaseyes infobased on PostgreSQLMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)novia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoRelationships in graphsyes infoedges in graphyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyesyesyes
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 rolesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users, roles and permissionsyes infobased on PostgreSQLfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBAmazon NeptuneHugeGraphPostGISSAP Adaptive Server infoformer name: Sybase ASE
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