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DBMS > Google BigQuery vs. Memcached vs. Microsoft Azure Synapse Analytics vs. Snowflake vs. Tigris

System Properties Comparison Google BigQuery vs. Memcached vs. Microsoft Azure Synapse Analytics vs. Snowflake vs. Tigris

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSnowflake  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesIn-memory key-value store, originally intended for cachingElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerCloud-based data warehousing service for structured and semi-structured dataA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Websitecloud.google.com/­bigquerywww.memcached.orgazure.microsoft.com/­services/­synapse-analyticswww.snowflake.comwww.tigrisdata.com
Technical documentationcloud.google.com/­bigquery/­docsgithub.com/­memcached/­memcached/­wikidocs.microsoft.com/­azure/­synapse-analyticsdocs.snowflake.net/­manuals/­index.htmlwww.tigrisdata.com/­docs
DeveloperGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftSnowflake Computing Inc.Tigris Data, Inc.
Initial release20102003201620142022
Current release1.6.25, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSD licensecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemshostedFreeBSD
Linux
OS X
Unix
Windows
hostedhostedLinux
macOS
Windows
Data schemeyesschema-freeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyesno
Secondary indexesnonoyesyes
SQL infoSupport of SQLyesnoyesyesno
APIs and other access methodsRESTful HTTP/JSON APIProprietary protocolADO.NET
JDBC
ODBC
CLI Client
JDBC
ODBC
CLI Client
gRPC
RESTful HTTP API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
Java
PHP
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoTransact SQLuser defined functionsno
Triggersnononono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding, horizontal partitioningyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoRepcached, a Memcached patch, provides this functionallityyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono 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 datano infoSince BigQuery is designed for querying datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yes infousing SASL (Simple Authentication and Security Layer) protocolyesUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and roles

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More resources
Google BigQueryMemcachedMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSnowflakeTigris
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