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DBMS > Google Cloud Spanner vs. OpenQM vs. TDSQL for MySQL vs. Vitess

System Properties Comparison Google Cloud Spanner vs. OpenQM vs. TDSQL for MySQL vs. Vitess

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.QpenQM is a high-performance, self-tuning, multi-value DBMSA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSMultivalue DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitecloud.google.com/­spannerwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.tencentcloud.com/­products/­dcdbvitess.io
Technical documentationcloud.google.com/­spanner/­docswww.tencentcloud.com/­document/­product/­1042vitess.io/­docs
DeveloperGoogleRocket Software, originally Martin PhillipsTencentThe Linux Foundation, PlanetScale
Initial release2017199320132013
Current release3.4-1215.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, extended commercial license availablecommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGo
Server operating systemshostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
hostedDocker
Linux
macOS
Data schemeyesyes infowith some exceptionsyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011noyesyes infowith proprietary extensions
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
Basic
C
Java
Objective C
PHP
Python
C
C#
C++
Java
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
Server-side scripts infoStored proceduresnoyesyesyes infoproprietary syntax
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyesAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.yesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights can be defined down to the item levelUsers with fine-grained authorization conceptUsers with fine-grained authorization concept infono user groups or roles

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More resources
Google Cloud SpannerOpenQM infoalso called QMTDSQL for MySQLVitess
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