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DBMS > Amazon DocumentDB vs. Amazon Neptune vs. Apache Impala vs. PostGIS vs. SAP Adaptive Server

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

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonApache Impala  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 cloudAnalytic DBMS for HadoopSpatial extension of PostgreSQLThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS
Primary database modelDocument storeGraph DBMS
RDF store
Relational DBMSSpatial DBMSRelational DBMS
Secondary database modelsDocument storeRelational DBMSSpatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.80
Rank#148  Overall
#25  Document stores
Score2.82
Rank#109  Overall
#9  Graph DBMS
#5  RDF stores
Score15.06
Rank#39  Overall
#24  Relational DBMS
Score24.72
Rank#29  Overall
#1  Spatial DBMS
Score37.49
Rank#25  Overall
#17  Relational DBMS
Websiteaws.amazon.com/­documentdbaws.amazon.com/­neptuneimpala.apache.orgpostgis.netwww.sap.com/­products/­technology-platform/­sybase-ase.html
Technical documentationaws.amazon.com/­documentdb/­resourcesaws.amazon.com/­neptune/­developer-resourcesimpala.apache.org/­impala-docs.htmlpostgis.net/­documentationhelp.sap.com/­docs/­SAP_ASE
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaSAP, Sybase
Initial release20192017201320051987
Current release4.1.0, June 20223.4.2, February 202416.0
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2Open 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 languageC++CC and C++
Server operating systemshostedhostedLinuxAIX
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 indexesyesnoyesyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
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
All languages supporting JDBC/ODBCC
C++
Cobol
Java
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduceuser defined functionsJava and Transact-SQL
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingyes 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.selectable replication factoryes 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)noyes infoquery execution via MapReducenono
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 graphsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnoACIDACID
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.nono
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)Access rights for users, groups and roles infobased on Apache Sentry and Kerberosyes infobased on PostgreSQLfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBAmazon NeptuneApache ImpalaPostGISSAP Adaptive Server infoformer name: Sybase ASE
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