DBMS > Google Cloud Spanner vs. Microsoft SQL Server
System Properties Comparison Google Cloud Spanner vs. Microsoft SQL Server
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines|
|Name||Google Cloud Spanner Xexclude from comparison||Microsoft SQL Server Xexclude from comparison|
|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.||Microsofts flagship relational DBMS|
|Primary database model||Relational DBMS||Relational DBMS|
|Secondary database models||Document store|
|Current release||SQL Server 2019, November 2019|
|License Commercial or Open Source||commercial||commercial restricted free version is available|
|Cloud-based only Only available as a cloud service||yes||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Server operating systems||hosted||Linux|
|Typing predefined data types such as float or date||yes||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.||no||yes|
|SQL Support of SQL||yes Query statements complying to ANSI 2011||yes|
|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
Tabular Data Stream (TDS)
|Supported programming languages||Go|
|Server-side scripts Stored procedures||no||Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java|
|Partitioning methods Methods for storing different data on different nodes||Sharding||tables can be distributed across several files (horizontal partitioning); sharding through federation|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication with 3 replicas for regional instances.||yes, but depending on the SQL-Server Edition|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes using Google Cloud Dataflow||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes by using interleaved tables, this features focuses more on performance improvements than on referential integrity||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID Strict serializable isolation||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||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|
More information provided by the system vendor
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.|
SQL Complete: An advanced IntelliSense-style code completion add-in for SSMS and Visual Studio. Write, beautify, refactor your SQL code and give your productivity a dramatic boost.
Navicat Monitor is a safe, simple and agentless remote server monitoring tool for SQL Server and many other database management systems.
Navicat for SQL Server gives you a fully graphical approach to database management and development.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Google Cloud Spanner||Microsoft SQL Server|
|DB-Engines blog posts|