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DBMS > Google Cloud Spanner vs. MemSQL

System Properties Comparison Google Cloud Spanner vs. MemSQL

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Our visitors often compare Google Cloud Spanner and MemSQL with MySQL, PostgreSQL and MongoDB.

Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonMemSQL  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.MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.83
Rank#105  Overall
#52  Relational DBMS
Score6.33
Rank#61  Overall
#34  Relational DBMS
Websitecloud.google.com/­spannerwww.memsql.com
Technical documentationcloud.google.com/­spanner/­docsdocs.memsql.com
DeveloperGoogleMemSQL Inc.
Initial release20172013
Current release7.1.10, October 2020
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MemSQL Helios: The world's fastest, most capable cloud database for operational analytics, machine learning, & AI. Available instantly with multi-cloud and hybrid-cloud capabilities.
Implementation languageC++
Server operating systemshostedLinux info64 bit version required
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 indexesyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011yes, but no triggers and foreign keys
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
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency only within each node
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACID infoOnly isolation level: READ COMMITED
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
Google Cloud SpannerMemSQL
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Recent citations in the news

Google Updates Cloud Spanner with New Features: Backup on Demand, Local Emulator, and More
1 May 2020, InfoQ.com

Google enhances Cloud Spanner and other databases
20 August 2020, TechTarget

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MemSQL Rebrands as SingleStore
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29 October 2020, Solutions Review

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30 October 2020, SDTimes.com

MemSQL raises $50M in debt facility for its real-time database platform
11 May 2020, TechCrunch

Global Operational Database Management Systems (OPDBMS) Software Market Expected To Reach Highest CAGR By 2026: Oracle, Microsoft, SAP SE, IBM, Amazon Web Services etc.
29 October 2020, Aerospace Journal

provided by Google News

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