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DBMS > Microsoft Azure Synapse Analytics vs. Microsoft Azure Table Storage vs. PostgreSQL vs. RavenDB

System Properties Comparison Microsoft Azure Synapse Analytics vs. Microsoft Azure Table Storage vs. PostgreSQL vs. RavenDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA Wide Column Store for rapid development using massive semi-structured datasetsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSWide column storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Document store
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websiteazure.microsoft.com/­services/­synapse-analyticsazure.microsoft.com/­en-us/­services/­storage/­tableswww.postgresql.orgravendb.net
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticswww.postgresql.org/­docsravendb.net/­docs
DeveloperMicrosoftMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerHibernating Rhinos
Initial release201620121989 info1989: Postgres, 1996: PostgreSQL2010
Current release16.3, May 20245.4, July 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
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Implementation languageC++CC#
Server operating systemshostedhostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoyes infostandard with numerous extensionsSQL-like query language (RQL)
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC#
Java
PHP
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresTransact SQLnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infoImplicit feature of the cloud servicepartitioning by range, list and (since PostgreSQL 11) by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyesAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standardAuthorization levels configured per client per database

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More resources
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMicrosoft Azure Table StoragePostgreSQLRavenDB
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