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DBMS > Microsoft Azure Synapse Analytics vs. Postgres-XL vs. RDFox vs. searchxml vs. Vertica

System Properties Comparison Microsoft Azure Synapse Analytics vs. Postgres-XL vs. RDFox vs. searchxml vs. Vertica

Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRDFox  Xexclude from comparisonsearchxml  Xexclude from comparisonVertica infoOpenText™ Vertica™  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 featuresHigh performance knowledge graph and semantic reasoning engineDBMS for structured and unstructured content wrapped with an application serverCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelRelational DBMSRelational DBMSGraph DBMS
RDF store
Native XML DBMS
Search engine
Relational DBMS infoColumn oriented
Secondary database modelsDocument store
Spatial DBMS
Relational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Score0.00
Rank#385  Overall
#7  Native XML DBMS
#24  Search engines
Score9.62
Rank#42  Overall
#26  Relational DBMS
Websiteazure.microsoft.com/­services/­synapse-analyticswww.postgres-xl.orgwww.oxfordsemantic.techwww.searchxml.net/­category/­productswww.vertica.com
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticswww.postgres-xl.org/­documentationdocs.oxfordsemantic.techwww.searchxml.net/­support/­handoutsvertica.com/­documentation
DeveloperMicrosoftOxford Semantic Technologiesinformationpartners gmbhOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20162014 infosince 2012, originally named StormDB201720152005
Current release10 R1, October 20186.0, Septermber 20221.012.0.3, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public licensecommercialcommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC++C++C++
Server operating systemshostedLinux
macOS
Linux
macOS
Windows
WindowsLinux
Data schemeyesyesyes infoRDF schemasschema-freeYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
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.noyes infoXML type, but no XML query functionalityyesno
Secondary indexesyesyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLyesyes infodistributed, parallel query executionnonoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
SPARQL 1.1
RESTful HTTP API
WebDAV
XQuery
XSLT
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC#
Java
PHP
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
Java
C++ infomost other programming languages supported via APIsC#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresTransact SQLuser defined functionsyes infoon the application serveryes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyesnoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioninghorizontal partitioningnonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesreplication via a shared file systemyes infosychronisation to multiple collectionsMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCACIDmultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesnono
User concepts infoAccess controlyesfine grained access rights according to SQL-standardRoles, resources, and access typesDomain, group and role-based access control at the document level and for application servicesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash

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More resources
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePostgres-XLRDFoxsearchxmlVertica infoOpenText™ Vertica™
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