DBMS > Google Cloud Spanner vs. H2 vs. MySQL

System Properties Comparison Google Cloud Spanner vs. H2 vs. MySQL

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Editorial information provided by DB-Engines

Name

Description

A 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.

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

Widely used open source RDBMS

Primary database model

Relational DBMS

Key/Value like access via memcached API

Secondary database models

Spatial DBMS

Document store
Spatial DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	3.19
Rank	#95	Overall
	#50	Relational DBMS

Score	9.69
Rank	#48	Overall
	#30	Relational DBMS

Score	1212.52
Rank	#2	Overall
	#2	Relational DBMS

Website

cloud.google.com/spanner

www.h2database.com

www.mysql.com

Technical documentation

cloud.google.com/spanner/docs

www.h2database.com/html/main.html

dev.mysql.com/doc

Developer

Google

Thomas Mueller

Oracle

since 2010, originally MySQL AB, then Sun

Initial release

2017

2005

1995

Current release

1.4.200, October 2019

8.0.26, July 2021

License

Commercial or Open Source

commercial

Open Source

dual-licence (Mozilla public license, Eclipse public license)

Open Source

GPL version 2. Commercial licenses with extended functionallity are available

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

ScaleGrid for MySQL: Fully managed MySQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.

Implementation language

Java

C and C++

Server operating systems

hosted

All OS with a Java VM

FreeBSD
Linux
OS X
Solaris
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

Query statements complying to ANSI 2011

yes

with proprietary extensions

APIs and other access methods

gRPC (using protocol buffers) API
JDBC

At present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API

JDBC
ODBC

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

Go
Java
JavaScript (Node.js)
Python

Java

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

Stored procedures

Java Stored Procedures and User-Defined Functions

yes

proprietary syntax

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication with 3 replicas for regional instances.

With clustering: 2 database servers on different computers operate on identical copies of a database

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

using Google Cloud Dataflow

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

by using interleaved tables, this features focuses more on performance improvements than on referential integrity

yes

not for MyISAM storage engine

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Strict serializable isolation

ACID

not for MyISAM storage engine

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

table locks or row locks depending on storage engine

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

fine grained access rights according to SQL-standard

Users with fine-grained authorization concept

no 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

3rd parties

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More resources

DB-Engines blog posts

MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

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2 May 2017, Paul Andlinger

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Recent citations in the news

Google plays catch-up with JSON support for distributed RDBMS Spanner
8 September 2021, The Register

One on One with Google Cloud Product Director Irina Farooq
16 September 2021, Datanami

Google Cloud Opens New Canadian Cloud Region In Toronto
14 September 2021, CRN

Google Bolsters Cloud Spanner with Point-in-Time Recovery
6 April 2021, InfoQ.com

DataStax extends Astra DB serverless to go multiregion
15 September 2021, ZDNet

provided by Google News

PlanetScale review: Horizontally scalable MySQL in the cloud
1 September 2021, InfoWorld

MySQL Training Service Market is Booming Worldwide with Oracle, Udemy, Pluralsight - Herefordshire Live
28 September 2021, Herefordshire Live

Add Authentication to Any PHP App Using MySQL
8 September 2021, MakeUseOf

Daily Deal: The Modern Web Development And MySQL Programming Bundle
21 September 2021, Techdirt

Add repository to Install MySQL 5.7 on Ubuntu 20.04 LTS Linux
9 September 2021, H2S Media

provided by Google News

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