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DBMS > Google BigQuery vs. Pinecone vs. Snowflake vs. SQream DB

System Properties Comparison Google BigQuery vs. Pinecone vs. Snowflake vs. SQream DB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonPinecone  Xexclude from comparisonSnowflake  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA managed, cloud-native vector databaseCloud-based data warehousing service for structured and semi-structured dataa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSVector DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitecloud.google.com/­bigquerywww.pinecone.iowww.snowflake.comsqream.com
Technical documentationcloud.google.com/­bigquery/­docsdocs.pinecone.io/­docs/­overviewdocs.snowflake.net/­manuals/­index.htmldocs.sqream.com
DeveloperGooglePinecone Systems, IncSnowflake Computing Inc.SQream Technologies
Initial release2010201920142017
Current release2022.1.6, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
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++, CUDA, Haskell, Java, Scala
Server operating systemshostedhostedhostedLinux
Data schemeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyesString, Number, Booleanyesyes, ANSI Standard SQL Types
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.nonoyes
Secondary indexesnono
SQL infoSupport of SQLyesnoyesyes
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP APICLI Client
JDBC
ODBC
.Net
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
PythonJavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptuser defined functionsuser defined functions in Python
Triggersnono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesnoneyeshorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
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 integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonono
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Users with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Google BigQueryPineconeSnowflakeSQream DB
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