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DBMS > Google Cloud Spanner vs. Impala vs. MySQL

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

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonImpala  Xexclude from comparisonMySQL  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.Analytic DBMS for HadoopWidely used open source RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.02
Rank#92  Overall
#48  Relational DBMS
Score17.39
Rank#37  Overall
#23  Relational DBMS
Score1126.64
Rank#2  Overall
#2  Relational DBMS
Websitecloud.google.com/­spannerwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.mysql.com
Technical documentationcloud.google.com/­spanner/­docsdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmldev.mysql.com/­doc
DeveloperGoogleClouderaOracle infosince 2010, originally MySQL AB, then Sun
Initial release201720131995
Current release4.1.0, June 20228.2.0, October 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoGPL version 2. Commercial licenses with extended functionallity are 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.
  • PlanetScale: Deploy a fully managed database with the reliability of MySQL and the scale of open source Vitess with PlanetScale today. Predictably scale, increase workflow velocity, and deploy features with zero downtime.
  • Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageC++C and C++
Server operating systemshostedLinuxFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesyes
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011SQL-like DML and DDL statementsyes 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
ODBC
Proprietary native API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBCAda
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 infouser defined functions and integration of map-reduceyes infoproprietary syntax
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnoACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes
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 for users, groups and roles infobased on Apache Sentry and KerberosUsers with fine-grained authorization concept infono user groups or roles

More information provided by the system vendor

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Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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PlanetScale: Deploy a fully managed serverless database with the reliability of MySQL and the tested scalability of Vitess. Predictably scale, increase workflow velocity, and deploy features with zero downtime.
Get started with a PlanetScale database today for free.
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Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
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Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
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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 SpannerImpalaMySQL
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Conferences, events and webinars

MySQL Enterprise Workshop
Austin, TX, 13 December 2023

MySQL HeatWave and Database Day
Austin, TX, 14 December 2023

MySQL Enterprise Workshop
Orlando, FL, 31 January 2024

Finished events

MySQL Enterprise Workshop
Denver, CO, 7 December 2023 (finished)

Recent citations in the news

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

Google Improves Cloud Spanner: More Compute and Storage without Price Increase
14 October 2023, InfoQ.com

Google Cloud Spanner Is Now Half the Cost of Amazon DynamoDB
13 October 2023, Datanami

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

Google's Cloud Spanner Data Boost is now generally available
29 August 2023, Yahoo News

provided by Google News

Cloudera's Impala brings Hadoop to SQL and BI
25 October 2012, ZDNet

Man Busts Out of Google, Rebuilds Top-Secret Query Machine
24 October 2012, WIRED

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Cloudera aims to bring real-time queries to Hadoop, big data
24 October 2012, ZDNet

Apache Impala 4 Supports Operator Multi-Threading
29 July 2021, iProgrammer

provided by Google News

Using HashiCorp Vault & Spring Cloud Vault to obtain Dynamic MySQL Credentials
8 December 2023, Medium

Oracle Continues MySQL HeatWave Innovation with Vector Store and New Generative AI Capabilities
20 September 2023, Oracle

MySQL 8.2 Introduces Transparent Read/Write Splitting
11 November 2023, InfoQ.com

Oracle Introduces MySQL HeatWave Lakehouse, Outperforming Databricks, Snowflake & BigQuery
21 July 2023, Forbes

MySQL servers under botnet attack, report | SC Media
17 November 2023, SC Media

provided by Google News

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