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DBMS > Amazon Redshift vs. Databricks vs. Microsoft Azure AI Search vs. Microsoft Azure Synapse Analytics vs. Postgres-XL

System Properties Comparison Amazon Redshift vs. Databricks vs. Microsoft Azure AI Search vs. Microsoft Azure Synapse Analytics vs. Postgres-XL

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatabricks  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Search-as-a-service for web and mobile app developmentElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSDocument store
Relational DBMS
Search engineRelational DBMSRelational DBMS
Secondary database modelsVector DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.databricks.comazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­services/­synapse-analyticswww.postgres-xl.org
Technical documentationdocs.aws.amazon.com/­redshiftdocs.databricks.comlearn.microsoft.com/­en-us/­azure/­searchdocs.microsoft.com/­azure/­synapse-analyticswww.postgres-xl.org/­documentation
DeveloperAmazon (based on PostgreSQL)DatabricksMicrosoftMicrosoft
Initial release20122013201520162014 infosince 2012, originally named StormDB
Current releaseV110 R1, October 2018
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C
Server operating systemshostedhostedhostedhostedLinux
macOS
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyesyes
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.noyesnonoyes infoXML type, but no XML query functionality
Secondary indexesrestrictedyesyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardwith Databricks SQLnoyesyes infodistributed, parallel query execution
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages supporting JDBC/ODBCPython
R
Scala
C#
Java
JavaScript
Python
C#
Java
PHP
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functions and aggregatesnoTransact SQLuser defined functions
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnono 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 dataACIDACIDnoACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnonono
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationyesfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon RedshiftDatabricksMicrosoft Azure AI SearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePostgres-XL
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Amazon RedshiftDatabricksMicrosoft Azure AI SearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePostgres-XL
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