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DBMS > Google BigQuery vs. MySQL vs. OpenSearch vs. Transwarp ArgoDB

System Properties Comparison Google BigQuery vs. MySQL vs. OpenSearch vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMySQL  Xexclude from comparisonOpenSearch  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesWidely used open source RDBMSA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache LuceneDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelRelational DBMSRelational DBMS infoKey/Value like access via memcached APISearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score52.67
Rank#19  Overall
#13  Relational DBMS
Score1029.49
Rank#2  Overall
#2  Relational DBMS
Score16.31
Rank#36  Overall
#4  Search engines
Score0.04
Rank#361  Overall
#153  Relational DBMS
Websitecloud.google.com/­bigquerywww.mysql.comgithub.com/­opensearch-project
opensearch.org
www.transwarp.cn/­en/­product/­argodb
Technical documentationcloud.google.com/­bigquery/­docsdev.mysql.com/­docopensearch.org/­docs/­latestdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperGoogleOracle infosince 2010, originally MySQL AB, then SunAmazon Web ServicesTranswarp
Initial release201019952021
Current release9.0.0, July 20242.5.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageC and C++Java
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
All OS with a Java VM
Data schemeyesyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes
Secondary indexesnoyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsSQL-like query languageyes
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Proprietary native API
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes infoproprietary syntaxyes
Triggersnoyesyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes
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.noyes
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 infono user groups or roles
More information provided by the system vendor
Google BigQueryMySQLOpenSearchTranswarp ArgoDB
Specific characteristicsOpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesDistributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Typical application scenariosThe OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Licensing and pricing modelsThe OpenSearch Project offers open source software licensed under Apache License...
» more

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More resources
Google BigQueryMySQLOpenSearchTranswarp ArgoDB
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