DBMS > Google Cloud Datastore vs. Microsoft SQL Server vs. SAP SQL Anywhere
System Properties Comparison Google Cloud Datastore vs. Microsoft SQL Server vs. SAP SQL Anywhere
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|Editorial information provided by DB-Engines|
|Name||Google Cloud Datastore Xexclude from comparison||Microsoft SQL Server Xexclude from comparison||SAP SQL Anywhere formerly called Adaptive Server Anywhere Xexclude from comparison|
|Description||Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform||Microsofts relational DBMS||RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments|
|Primary database model||Document store||Relational DBMS||Relational DBMS|
|Secondary database models||Document store|
|Developer||Microsoft||SAP formerly Sybase|
|Current release||SQL Server 2019, November 2019||17, July 2015|
|License Commercial or Open Source||commercial||commercial restricted free version is available||commercial|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||Linux|
|Typing predefined data types such as float or date||yes, details here||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||yes|
|SQL Support of SQL||SQL-like query language (GQL)||yes||yes|
|APIs and other access methods||gRPC (using protocol buffers) API|
RESTful HTTP/JSON API
Tabular Data Stream (TDS)
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||using Google App Engine||Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java||yes, in C/C++, Java, .Net or Perl|
|Triggers||Callbacks using the Google Apps Engine||yes||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding||tables can be distributed across several files (horizontal partitioning); sharding through federation||none|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-Master replication using Paxos||yes, but depending on the SQL-Server Edition||Master-slave replication Database mirroring|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes using Google Cloud Dataflow||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency or Eventual Consistency depending on type of query and configuration Strong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes via ReferenceProperties or Ancestor paths||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID Serializable Isolation within Transactions, Read Committed outside of Transactions||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes||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||fine grained access rights according to SQL-standard|
More information provided by the system vendor
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|Related products and services|
|3rd parties||DBHawk is a web-based data management Tool for a SQL Server database.|
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|Google Cloud Datastore||Microsoft SQL Server||SAP SQL Anywhere formerly called Adaptive Server Anywhere|
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