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DBMS > AgensGraph vs. GeoSpock vs. Microsoft Azure Synapse Analytics vs. Postgres-XL vs. UniData,UniVerse

System Properties Comparison AgensGraph vs. GeoSpock vs. Microsoft Azure Synapse Analytics vs. Postgres-XL vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPostgres-XL  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLSpatial and temporal data processing engine for extreme data scaleElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSRelational DBMSMultivalue DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitebitnine.net/­agensgraphgeospock.comazure.microsoft.com/­services/­synapse-analyticswww.postgres-xl.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationbitnine.net/­documentationdocs.microsoft.com/­azure/­synapse-analyticswww.postgres-xl.org/­documentationdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperBitnine Global Inc.GeoSpockMicrosoftRocket Software
Initial release201620162014 infosince 2012, originally named StormDB1985
Current release2.1, December 20182.0, September 201910 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialOpen Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, JavascriptC++CC
Server operating systemsLinux
OS X
Windows
hostedhostedLinux
macOS
AIX
HP-UX
Linux
Solaris
Windows
Data schemedepending on used data modelyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesoptional
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.nononoyes infoXML type, but no XML query functionality
Secondary indexesyestemporal, categoricalyesyesyes
SQL infoSupport of SQLyesANSI SQL for query only (using Presto)yesyes infodistributed, parallel query executionyes
APIs and other access methodsCypher Query Language
JDBC
JDBCADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
Java
JavaScript
Python
C#
Java
PHP
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyesnoTransact SQLuser defined functionsyes
Triggersnononoyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceAutomatic shardingSharding, horizontal partitioninghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoMVCCACID infoconfigurable
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 controlfine grained access rights according to SQL-standardAccess rights for users can be defined per tableyesfine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system based

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More resources
AgensGraphGeoSpockMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePostgres-XLUniData,UniVerse
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