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DBMS > Google Cloud Bigtable vs. MySQL vs. SWC-DB vs. VictoriaMetrics

System Properties Comparison Google Cloud Bigtable vs. MySQL vs. SWC-DB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonMySQL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Widely used open source RDBMSA high performance, scalable Wide Column DBMSA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelKey-value store
Wide column store
Relational DBMS infoKey/Value like access via memcached APIWide column storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.01
Rank#81  Overall
#12  Key-value stores
#8  Wide column stores
Score1199.40
Rank#2  Overall
#2  Relational DBMS
Score0.05
Rank#371  Overall
#13  Wide column stores
Score0.98
Rank#209  Overall
#15  Time Series DBMS
Websitecloud.google.com/­bigtablewww.mysql.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
victoriametrics.com
Technical documentationcloud.google.com/­bigtable/­docsdev.mysql.com/­docdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperGoogleOracle infosince 2010, originally MySQL AB, then SunAlex KashirinVictoriaMetrics
Initial release2015199520202018
Current release8.0.31, October 20220.5, April 2021v1.83, November 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoGPL V3Open Source infoApache Version 2.0
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.
ScaleGrid for MySQL: Fully managed MySQL hosting On-Premises and on a wide variety of cloud providers. Easily deploy, monitor, provision, and scale your deployments in the cloud.
Implementation languageC and C++C++Go
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
LinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyes
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.noyesnono
Secondary indexesnoyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like query languageno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
ODBC
Proprietary native API
Proprietary protocol
Thrift
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
Synchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID 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.noyesnono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Google Cloud BigtableMySQLSWC-DB infoSuper Wide Column DatabaseVictoriaMetrics
Specific characteristicsHigh performance, horizontally scalable time series database and monitoring solution...
» more
Competitive advantagesSpecifically designed for highly loaded workloads Addresses most of the scalability...
» more
Typical application scenariosWhen the current monitoring solution can't keep up with increasing workload Kubernetes...
» more
Key customersGrammarly, Wix.com, adidas, Sensedia, Brandwatch, CERN, COLOPL, Razorpay See our...
» more
Market metrics6k stars and 100+ contributors on GitHub 45M+ downloads Thousands of active users...
» more
Licensing and pricing modelsVictoriaMetrics comes in three versions: an open source version, an Enterprise version...
» more

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More resources
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