DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Google BigQuery vs. Snowflake vs. StarRocks

System Properties Comparison Google BigQuery vs. Snowflake vs. StarRocks

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonSnowflake  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesCloud-based data warehousing service for structured and semi-structured dataAn 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 DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.73
Rank#19  Overall
#13  Relational DBMS
Score168.09
Rank#6  Overall
#5  Relational DBMS
Score1.08
Rank#174  Overall
#78  Relational DBMS
Websitecloud.google.com/­bigquerywww.snowflake.comwww.starrocks.io
Technical documentationcloud.google.com/­bigquery/­docsdocs.snowflake.net/­manuals/­index.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperGoogleSnowflake Computing Inc.The Linux Foundation infosince Feb 2023
Initial release201020142020
Current release3.3, June 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java
Server operating systemshostedhostedLinux
Data schemeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyesyesyes
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.noyesno
Secondary indexesnoyes
SQL infoSupport of SQLyesyesyes
APIs and other access methodsRESTful HTTP/JSON APICLI Client
JDBC
ODBC
JDBC
MySQL protocol
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptuser defined functionsuser defined functions
Triggersnono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesnoneyeshorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 authenticationRole based access control and fine grained access rights

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Google BigQuerySnowflakeStarRocks
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2023
2 January 2024, Matthias Gelbmann, Paul Andlinger

Snowflake is the DBMS of the Year 2022, defending the title from last year
3 January 2023, Matthias Gelbmann, Paul Andlinger

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

show all

Snowflake is the Database Management System of the Year 2024
16 January 2025, Tom Russell

Snowflake is the DBMS of the Year 2022, defending the title from last year
3 January 2023, Matthias Gelbmann, Paul Andlinger

Snowflake is the DBMS of the Year 2021
3 January 2022, Paul Andlinger, Matthias Gelbmann

show all

Recent citations in the news

Winning the 2020 Google Cloud Technology Partner of the Year – Infrastructure Modernization Award
22 December 2021, cio.com

Hightouch Announces $38 Million in Funding and Launches New Customer 360 Toolkit
19 July 2023, PR Newswire

Redshift Vs BigQuery: What Are The Factors To Consider Before Choosing A Data Warehouse
13 December 2018, Analytics India Magazine

provided by Google News

Snowflake for Applications & Collaboration | AI Data Cloud
10 April 2025, Snowflake

IBM Buys Snowflake-Focused Data, AI Consultancy Hakkoda
7 April 2025, CRN Magazine

Breaking Silos: Integrating Snowflake and Oracle Autonomous Database with Iceberg Tables
22 January 2025, Oracle Blogs

Snowflake for Data Lakes
17 February 2025, Snowflake

Snowflake for Analytics | AI Data Cloud
17 February 2025, Snowflake

provided by Google News

StarRocks analytical DB heads to Linux Foundation
14 February 2023, VentureBeat

Enabling Real-Time Analytics at Data Summit 2024
8 May 2024, Database Trends and Applications

CelerData: How This Company Reduces Data Migration And Direct Analysis Costs In Data Lakes
21 December 2023, Pulse 2.0

StarRocks Launches the Industry's Fastest, Cloud Native, Real-time Analytics Engine
14 July 2022, GlobeNewswire

How vectorization improves database performance
15 November 2022, InfoWorld

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Present your product here