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DBMS > Google BigQuery vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Synapse Analytics vs. Tarantool

System Properties Comparison Google BigQuery vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Synapse Analytics vs. Tarantool

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesGlobally distributed, horizontally scalable, multi-model database serviceElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerIn-memory database with an integrated application server
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSKey-value store
Secondary database modelsSpatial DBMSDocument store
Relational DBMS
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score37.63
Rank#24  Overall
#15  Relational DBMS
Score34.71
Rank#25  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score13.29
Rank#41  Overall
#25  Relational DBMS
Score1.42
Rank#139  Overall
#26  Key-value stores
Websitecloud.google.com/­bigqueryazure.microsoft.com/­services/­cosmos-dbazure.microsoft.com/­services/­synapse-analyticswww.tarantool.io
Technical documentationcloud.google.com/­bigquery/­docsdocs.microsoft.com/­azure/­cosmos-dbdocs.microsoft.com/­azure/­synapse-analyticswww.tarantool.io/­en/­doc
DeveloperGoogleMicrosoftMicrosoftMail.ru Group
Initial release2010201420162008
Current release2.4.2, July 2020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++
Server operating systemshostedhostedhostedBSD
Linux
macOS
Data schemeyesschema-freeyesschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyes infoJSON typesyesstring, double, decimal, uuid, integer, blob, boolean
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.nonono
Secondary indexesnoyes infoAll properties auto-indexed by defaultyesyes
SQL infoSupport of SQLyesSQL-like query languageyesFull-featured ANSI SQL support
APIs and other access methodsRESTful HTTP/JSON APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
ODBC
Open binary protocol
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C#
Java
PHP
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptJavaScriptTransact SQLLua, C and SQL stored procedures
TriggersnoJavaScriptnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioningHash sharding based on virtual buckets
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes, with SQL
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataMulti-item ACID transactions with snapshot isolation within a partitionACIDACID, read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyesyes, regular snapshots on disk, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)Access rights can be defined down to the item levelyesAccess rights for users and roles

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More resources
Google BigQueryMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTarantool
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