DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Google Cloud Spanner vs. Vitess

System Properties Comparison Google Cloud Spanner vs. Vitess

Please select another system to include it in the comparison.

Our visitors often compare Google Cloud Spanner and Vitess with PostgreSQL, TiDB and Citus.

Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  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.Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.02
Rank#92  Overall
#48  Relational DBMS
Score1.18
Rank#209  Overall
#97  Relational DBMS
Websitecloud.google.com/­spannervitess.io
Technical documentationcloud.google.com/­spanner/­docsvitess.io/­docs
DeveloperGoogleThe Linux Foundation, PlanetScale
Initial release20172013
Current release15.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0, commercial licenses 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.
PlanetScale: The easiest way to deploy Vitess in the cloud. Get the scalability of Vitess without all the work. Start your fully managed database with PlanetScale today.
Implementation languageGo
Server operating systemshostedDocker
Linux
macOS
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.no
Secondary indexesyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011yes 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
ADO.NET
JDBC
MySQL protocol
ODBC
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
Server-side scripts infoStored proceduresnoyes infoproprietary syntax
Triggersnoyes
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.Multi-source replication
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 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 integrityyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engine
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)Users with fine-grained authorization concept infono user groups or roles

More information provided by the system vendor

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.

Related products and services

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

More resources
Google Cloud SpannerVitess
Recent citations in the news

Google Improves Cloud Spanner: More Compute and Storage ...
14 October 2023, InfoQ.com

Google makes its Cloud Spanner database service faster and more ...
11 October 2023, SiliconANGLE News

Google turns up the heat on AWS, claims Cloud Spanner is half the cost of DynamoDB
11 October 2023, TechCrunch

Google Plans To Invest in Character.AI
13 November 2023, Spiceworks News and Insights

Google’s Cloud Spanner Data Boost is now generally available
29 August 2023, TechCrunch

provided by Google News

PlanetScale Ranked Number 188 Fastest-Growing Company in North America on the 2023 Deloitte Technology Fast 500™
8 November 2023, Yahoo Finance

PlanetScale forks MySQL to add vector support
3 October 2023, TechCrunch

Embracing Database Deployments in CI/CD Practices with Git
4 October 2023, The New Stack

PlanetScale Joins AWS ISV Accelerate Program
12 June 2023, Business Wire

PlanetScale's Challenge to Oracle: Forking MySQL and Introducing ...
15 October 2023, InfoQ.com

provided by Google News

Job opportunities

Senior Software Engineer Google Cloud Platform
UNITED PARCEL SERVICE, Mahwah, NJ

Google Cloud Platform Data Engineer
Publicis Sapient, Chicago, IL

Principal Engineer, Query Processing, Spanner, Google Cloud
Google, Kirkland, WA

Senior Manager Engineering, Cloud Data and Events
Confluent, United States

Database Engineering Manager II
Credit Karma, Charlotte, NC

Sr. Engineer, Database Infrastructure - Slack
Salesforce, Colorado

Engineering Lead - Data Infrastructure
HubSpot, Cambridge, MA

Senior Software Engineer - Treasury, Financial Platform
Cash App, San Francisco, CA

Senior Software Engineer - Treasury, Financial Platform
Afterpay, San Francisco, CA

Senior Software Engineer/Architect - Data Technologies Engineering
Bloomberg, Princeton, NJ

jobs by Indeed



Share this page

Featured Products

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Redis logo

The world’s most loved real‑time data platform.
Try free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

SingleStore logo

The database to transact, analyze and contextualize your data in real time.
Try it today.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here