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DBMS > Google BigQuery vs. Microsoft Azure AI Search vs. Microsoft Azure Synapse Analytics vs. Realm vs. Snowflake

System Properties Comparison Google BigQuery vs. Microsoft Azure AI Search vs. Microsoft Azure Synapse Analytics vs. Realm vs. Snowflake

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRealm  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesSearch-as-a-service for web and mobile app developmentElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSSearch engineRelational DBMSDocument storeRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websitecloud.google.com/­bigqueryazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­services/­synapse-analyticsrealm.iowww.snowflake.com
Technical documentationcloud.google.com/­bigquery/­docslearn.microsoft.com/­en-us/­azure/­searchdocs.microsoft.com/­azure/­synapse-analyticsrealm.io/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperGoogleMicrosoftMicrosoftRealm, acquired by MongoDB in May 2019Snowflake Computing Inc.
Initial release20102015201620142014
Current releaseV1
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedhostedhostedAndroid
Backend: server-less
iOS
Windows
hosted
Data schemeyesyesyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
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.nonononoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesnoyesnoyes
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP APIADO.NET
JDBC
ODBC
CLI Client
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
Java
JavaScript
Python
C#
Java
PHP
.Net
Java infowith Android only
Objective-C
React Native
Swift
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoTransact SQLno inforuns within the applications so server-side scripts are unnecessaryuser defined functions
Triggersnononoyes infoChange Listenersno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioningnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanoACIDACIDACID
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.nonoyes infoIn-Memory realmno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yes infousing Azure authenticationyesyesUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Google BigQueryMicrosoft Azure AI SearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRealmSnowflake
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