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DBMS > Microsoft Azure Synapse Analytics vs. Postgres-XL vs. SpaceTime vs. Sphinx vs. TimesTen

System Properties Comparison Microsoft Azure Synapse Analytics vs. Postgres-XL vs. SpaceTime vs. Sphinx vs. TimesTen

Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSpaceTime  Xexclude from comparisonSphinx  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresSpaceTime is a spatio-temporal DBMS with a focus on performance.Open source search engine for searching in data from different sources, e.g. relational databasesIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSRelational DBMSSpatial DBMSSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websiteazure.microsoft.com/­services/­synapse-analyticswww.postgres-xl.orgwww.mireo.com/­spacetimesphinxsearch.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticswww.postgres-xl.org/­documentationsphinxsearch.com/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperMicrosoftMireoSphinx Technologies Inc.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20162014 infosince 2012, originally named StormDB202020011998
Current release10 R1, October 20183.5.1, February 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public licensecommercialOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC++C++
Server operating systemshostedLinux
macOS
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.noyes infoXML type, but no XML query functionalitynono
Secondary indexesyesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesyes infodistributed, parallel query executionA subset of ANSI SQL is implementedSQL-like query language (SphinxQL)yes
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIProprietary protocolJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC#
Java
PHP
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresTransact SQLuser defined functionsnonoPL/SQL
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioninghorizontal partitioningFixed-grid hypercubesSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesReal-time block device replication (DRBD)noneMulti-source replication
Source-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 or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardyesnofine grained access rights according to SQL-standard

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More resources
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePostgres-XLSpaceTimeSphinxTimesTen
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