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DBMS > EDB Postgres vs. Google BigQuery vs. Microsoft Azure Synapse Analytics vs. SQLite

System Properties Comparison EDB Postgres vs. Google BigQuery vs. Microsoft Azure Synapse Analytics vs. SQLite

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Editorial information provided by DB-Engines
NameEDB Postgres  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSQLite  Xexclude from comparison
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.Large scale data warehouse service with append-only tablesElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Websitewww.enterprisedb.comcloud.google.com/­bigqueryazure.microsoft.com/­services/­synapse-analyticswww.sqlite.org
Technical documentationwww.enterprisedb.com/­docscloud.google.com/­bigquery/­docsdocs.microsoft.com/­azure/­synapse-analyticswww.sqlite.org/­docs.html
DeveloperEnterpriseDBGoogleMicrosoftDwayne Richard Hipp
Initial release2005201020162000
Current release14, December 20213.46.0  (23 May 2024), May 2024
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentscommercialcommercialOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C
Server operating systemsLinux
Windows
hostedhostedserver-less
Data schemeyesyesyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesyesyes infonot rigid because of 'dynamic typing' concept.
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.nonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infostandard with numerous extensionsyesyesyes infoSQL-92 is not fully supported
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
Java
PHP
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions infoin JavaScriptTransact SQLno
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangenoneSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes infovia file-system locks
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yesno

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More resources
EDB PostgresGoogle BigQueryMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSQLite
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