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DBMS > Google Cloud Spanner vs. MySQL vs. Redis

System Properties Comparison Google Cloud Spanner vs. MySQL vs. Redis

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonMySQL  Xexclude from comparisonRedis  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.Widely used open source RDBMSIn-memory data structure store, used as database, cache and message broker infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.
Primary database modelRelational DBMSRelational DBMS infoKey/Value like access via memcached APIKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Secondary database modelsDocument storeDocument store infowith Redis Modules
Graph DBMS infowith Redis Modules
Search engine infowith Redis Modules
Time Series DBMS infowith Redis Modules
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.22
Rank#108  Overall
#53  Relational DBMS
Score1266.28
Rank#2  Overall
#2  Relational DBMS
Score145.24
Rank#8  Overall
#1  Key-value stores
Websitecloud.google.com/­spannerwww.mysql.comredis.io
Technical documentationcloud.google.com/­spanner/­docsdev.mysql.com/­docredis.io/­documentation
DeveloperGoogleOracle infosince 2010, originally MySQL AB, then SunSalvatore Sanfilippo infoDevelopment sponsored by Redis Labs
Initial release201719952009
Current release8.0.18, October 20195.0.6, September 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoBSD 3-Clause, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
Implementation languageC and C++C
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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 indexesyesyesyes infowith RediSearch module
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011yes infowith proprietary extensionsno
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
ADO.NET
JDBC
ODBC
Proprietary native API
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesGo
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
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxLua
Triggersnoyesno
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 nodesMaster-Master replication with 3 replicas for regional instances.Master-master replication
Master-slave replication
Master-slave replication infoChained replication is supported
Multi-master replication infowith Redis Enterprise Pack
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACID infonot for MyISAM storage engineOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
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 rolesSimple password-based access control infoAccess control lists and SSL are available in the commercial version
More information provided by the system vendor
Google Cloud SpannerMySQLRedis
Specific characteristicsRedis, benchmarked as the world's fastest database, reduces application complexity,...
» more
Competitive advantagesRedis is an in-memory database platform offering native support of wide range of...
» more
Typical application scenariosRedis powers personalization, real-time fraud detection, IoT, e-commerce, real-time...
» more
Key customersVerizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...
» more
Licensing and pricing modelsThe licensing model is subscription based. Redis Enterprise Cloud is priced according...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Google Cloud SpannerMySQLRedis
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Recent citations in the news

Striim Announces Incremental Data Capture From Google Cloud Spanner; Enhanced Delivery to Google Cloud Pub/Sub
19 November 2019, Business Wire

Striim Introduces Bi-Directional Server for Data Modernization in Hybrid Cloud Deployments; New Enhancements in Release 3.9.7 for Google Spanner, Azure Synapse Analytics, Azure Cosmos DB, MySQL, MariaDB
13 November 2019, Business Wire

Cockroach Labs Announces CockroachCloud, a Fully-Managed Distributed SQL Database in Beta
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Alliance Key Manager Now Supports Encryption Key Management for MySQL Enterprise Edition Database
19 November 2019, Benzinga

Understanding Schema Optimization in MySQL
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Using Five Types of JOIN in MySQL
21 October 2019, Database Journal

DBmaestro Brings Database Release Automation to MySQL, MariaDB, and Amazon RDS
30 October 2019, Database Trends and Applications

Running sysbench on RDS MySQL, RDS MariaDB, and Amazon Aurora MySQL via SSL/TLS
6 November 2019, idk.dev

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Redis Labs eases database management with RedisInsight
18 November 2019, TechTarget

Redis Labs Boosts Data Visualization, Cluster Recovery
15 November 2019, Datanami

Redis Labs Leverages Kubernetes to Automate Database Recovery
13 November 2019, Container Journal

Redis releases automatic cluster recovery for Kubernetes and RedisInsight GUI tool
13 November 2019, The Register

Redis Labs Delivers New Innovations to Radically Simplify the Complete Redis Lifecycle From Development to Operations
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