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DBMS > Google Cloud Spanner vs. Infobright vs. Microsoft Azure SQL Database

System Properties Comparison Google Cloud Spanner vs. Infobright vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonInfobright  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  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.High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.46
Rank#92  Overall
#48  Relational DBMS
Score1.10
Rank#168  Overall
#82  Relational DBMS
Score86.32
Rank#14  Overall
#9  Relational DBMS
Websitecloud.google.com/­spannerwww.ignitetech.com/­infobright-dbazure.microsoft.com/­en-us/­services/­sql-database
Technical documentationcloud.google.com/­spanner/­docsdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperGoogleIgnite Technologies Inc.; formerly InfoBright Inc.Microsoft
Initial release201720052010
Current releaseV12
License infoCommercial or Open Sourcecommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemshostedLinux
Windows
hosted
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 indexesyesno infoKnowledge Grid Technology used insteadyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011yesyes
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
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoTransact SQL
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Source-replica replicationyes, with always 3 replicas available
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.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 infoexploiting MySQL or PostgreSQL frontend capabilitiesfine grained access rights according to SQL-standard

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More resources
Google Cloud SpannerInfobrightMicrosoft Azure SQL Database infoformerly SQL Azure
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Recent citations in the news

Google Cloud Spanner Dialect for SQLAlchemy is Generally Available
15 January 2022, InfoQ.com

Google Cloud Spanner Adds PostgreSQL Interface: Is PostgreSQL Now Standard for Cloud Databases?
29 October 2021, InfoQ.com

Google Cloud Gives Spanner a PostgreSQL Interface
12 October 2021, Datanami

Database in the cloud: All about Google Cloud Spanner
29 October 2021, TechGenix

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

provided by Google News

Data 2022 outlook, part one: Will data clouds get easier? Will streaming get off its own island?
3 January 2022, ZDNet

Understanding Dirty Reads: What NOLOCK Does to Your Queries
21 January 2022, redmondmag.com

Microsoft builds distributed ledger for Azure SQL database
26 May 2021, TechTarget

Microsoft's cloud-connected on-prem database: SQL Server 2022 rolls out in private preview
2 November 2021, ZDNet

How To Automate Tasks in Azure SQL Database
22 January 2021, Redmondmag.com

provided by Google News

Job opportunities

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