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DBMS > Apache Doris vs. Google BigQuery

System Properties Comparison Apache Doris vs. Google BigQuery

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGoogle BigQuery  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolLarge scale data warehouse service with append-only tables
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#273  Overall
#127  Relational DBMS
Score50.03
Rank#24  Overall
#16  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
cloud.google.com/­bigquery
Technical documentationgithub.com/­apache/­doris/­wikicloud.google.com/­bigquery/­docs
DeveloperApache Software Foundation, originally contributed from BaiduGoogle
Initial release20172010
Current release0.14, May 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinuxhosted
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 indexesyesno
SQL infoSupport of SQLyesyes
APIs and other access methodsJDBC
MySQL client
RESTful HTTP/JSON API
Supported programming languagesJava.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsuser defined functions infoin JavaScript
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone
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 data
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 controlfine grained access rights according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)

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More resources
Apache DorisGoogle BigQuery
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