DBMS > Google Cloud Datastore vs. Microsoft SQL Server vs. OpenEdge
System Properties Comparison Google Cloud Datastore vs. Microsoft SQL Server vs. OpenEdge
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|Editorial information provided by DB-Engines|
|Name||Google Cloud Datastore Xexclude from comparison||Microsoft SQL Server Xexclude from comparison||OpenEdge Xexclude from comparison|
|Description||Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform||Microsofts relational DBMS||Application development environment with integrated database management system|
|Primary database model||Document store||Relational DBMS||Relational DBMS|
|Secondary database models||Document store|
|Developer||Microsoft||Progress Software Corporation|
|Current release||SQL Server 2019, November 2019||OpenEdge 11.7, March 2017|
|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||no|
|SQL Support of SQL||SQL-like query language (GQL)||yes||yes close to SQL 92|
|APIs and other access methods||gRPC (using protocol buffers) API|
RESTful HTTP/JSON API
Tabular Data Stream (TDS)
|Supported programming languages||.Net|
|Progress proprietary ABL (Advanced Business Language)|
|Server-side scripts Stored procedures||using Google App Engine||Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java||yes|
|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||horizontal partitioning since Version 11.4|
|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|
|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||no|
|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 and groups|
More information provided by the system vendor
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|Google Cloud Datastore||Microsoft SQL Server||OpenEdge|
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