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DBMS > EDB Postgres vs. Microsoft Azure Synapse Analytics vs. Spark SQL vs. VictoriaMetrics vs. Yaacomo

System Properties Comparison EDB Postgres vs. Microsoft Azure Synapse Analytics vs. Spark SQL vs. VictoriaMetrics vs. Yaacomo

Editorial information provided by DB-Engines
NameEDB Postgres  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSpark SQL  Xexclude from comparisonVictoriaMetrics  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerSpark SQL is a component on top of 'Spark Core' for structured data processingA fast, cost-effective and scalable Time Series DBMS and monitoring solutionOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.enterprisedb.comazure.microsoft.com/­services/­synapse-analyticsspark.apache.org/­sqlvictoriametrics.comyaacomo.com
Technical documentationwww.enterprisedb.com/­docsdocs.microsoft.com/­azure/­synapse-analyticsspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperEnterpriseDBMicrosoftApache Software FoundationVictoriaMetricsQ2WEB GmbH
Initial release20052016201420182009
Current release14, December 20213.5.0 ( 2.13), September 2023v1.91, May 2023
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentscommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++ScalaGo
Server operating systemsLinux
Windows
hostedLinux
OS X
Windows
FreeBSD
Linux
macOS
OpenBSD
Android
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yes infospecific XML-type available, but no XML query functionality.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infostandard with numerous extensionsyesSQL-like DML and DDL statementsnoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
JDBC
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C#
Java
PHP
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Transact SQLnono
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeSharding, horizontal partitioningyes, utilizing Spark Corehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesnoneSynchronous replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
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.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesnofine grained access rights according to SQL-standard

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More resources
EDB PostgresMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSpark SQLVictoriaMetricsYaacomo
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