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DBMS > Google BigQuery vs. StarRocks

System Properties Comparison Google BigQuery vs. StarRocks

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.73
Rank#19  Overall
#13  Relational DBMS
Score1.08
Rank#174  Overall
#78  Relational DBMS
Websitecloud.google.com/­bigquerywww.starrocks.io
Technical documentationcloud.google.com/­bigquery/­docsdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperGoogleThe Linux Foundation infosince Feb 2023
Initial release20102020
Current release3.3, June 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java
Server operating systemshostedLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLyesyes
APIs and other access methodsRESTful HTTP/JSON APIJDBC
MySQL protocol
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Java
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptuser defined functions
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range and hash)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datano
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
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)Role based access control and fine grained access rights

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Google BigQueryStarRocks
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