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

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

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Impala  Xexclude from comparisonGeoSpock  Xexclude from comparisonPostGIS  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAnalytic DBMS for HadoopSpatial and temporal data processing engine for extreme data scaleSpatial extension of PostgreSQLThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS
Primary database modelDocument storeRelational DBMSRelational DBMSSpatial DBMSRelational DBMS
Secondary database modelsDocument storeTime Series DBMSRelational DBMSSpatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score36.31
Rank#25  Overall
#17  Relational DBMS
Websiteaws.amazon.com/­documentdbimpala.apache.orggeospock.compostgis.netwww.sap.com/­products/­technology-platform/­sybase-ase.html
Technical documentationaws.amazon.com/­documentdb/­resourcesimpala.apache.org/­impala-docs.htmlpostgis.net/­documentationhelp.sap.com/­docs/­SAP_ASE
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGeoSpockSAP, Sybase
Initial release2019201320051987
Current release4.1.0, June 20222.0, September 20193.4.2, February 202416.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoGPL v2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, JavascriptCC and C++
Server operating systemshostedLinuxhostedAIX
HP-UX
Linux
Solaris
Unix
Windows
Data schemeschema-freeyesyesyesyes
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 indexesyesyestemporal, categoricalyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsANSI SQL for query only (using Presto)yesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
JDBCADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBCC
C++
Cobol
Java
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenouser defined functionsJava and Transact-SQL
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingAutomatic shardingyes 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 replicasselectable 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)yes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per tableyes infobased on PostgreSQLfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBApache ImpalaGeoSpockPostGISSAP Adaptive Server infoformer name: Sybase ASE
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