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DBMS > Google BigQuery vs. MySQL vs. RRDtool vs. Valentina Server

System Properties Comparison Google BigQuery vs. MySQL vs. RRDtool vs. Valentina Server

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMySQL  Xexclude from comparisonRRDtool  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesWidely used open source RDBMSIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.Object-relational database and reports server
Primary database modelRelational DBMSRelational DBMS infoKey/Value like access via memcached APITime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score1087.72
Rank#2  Overall
#2  Relational DBMS
Score2.14
Rank#124  Overall
#10  Time Series DBMS
Score0.18
Rank#329  Overall
#144  Relational DBMS
Websitecloud.google.com/­bigquerywww.mysql.comoss.oetiker.ch/­rrdtoolwww.valentina-db.net
Technical documentationcloud.google.com/­bigquery/­docsdev.mysql.com/­docoss.oetiker.ch/­rrdtool/­docvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGoogleOracle infosince 2010, originally MySQL AB, then SunTobias OetikerParadigma Software
Initial release2010199519991999
Current release8.3.0, January 20241.8.0, 20225.7.5
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoGPL V2 and FLOSScommercial
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.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageC and C++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
HP-UX
Linux
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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 infoExporting into and restoring from XML files possible
Secondary indexesnoyesnoyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsnoyes
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Proprietary native API
in-process shared library
Pipes
ODBC
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
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes infoproprietary syntaxnoyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyes infonot for MyISAM storage enginenoyes
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 engineyes infoby using the rrdcached daemon
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.noyesyesyes
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 rolesnofine grained access rights according to SQL-standard

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Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
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More resources
Google BigQueryMySQLRRDtoolValentina Server
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