DBMS > Google Cloud Datastore vs. Microsoft SQL Server vs. NSDb
System Properties Comparison Google Cloud Datastore vs. Microsoft SQL Server vs. NSDb
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|Editorial information provided by DB-Engines|
|Name||Google Cloud Datastore Xexclude from comparison||Microsoft SQL Server Xexclude from comparison||NSDb Xexclude from comparison|
|Description||Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform||Microsofts flagship relational DBMS||Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes|
|Primary database model||Document store||Relational DBMS||Time Series DBMS|
|Secondary database models||Document store|
|Current release||SQL Server 2022, November 2022|
|License Commercial or Open Source||commercial||commercial restricted free version is available||Open Source Apache Version 2.0|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C++||Java, Scala|
|Server operating systems||hosted||Linux|
|Typing predefined data types such as float or date||yes, details here||yes||yes: int, bigint, decimal, string|
|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|
|Secondary indexes||yes||yes||all fields are automatically indexed|
|SQL Support of SQL||SQL-like query language (GQL)||yes||SQL-like query language|
|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||no|
|Triggers||Callbacks using the Google Apps Engine||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding||tables can be distributed across several files (horizontal partitioning); sharding through federation||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication using Paxos||yes, but depending on the SQL-Server Edition|
|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||Eventual Consistency|
|Foreign keys Referential integrity||yes via ReferenceProperties or Ancestor paths||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID Serializable Isolation within Transactions, Read Committed outside of Transactions||ACID||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||Using Apache Lucene|
|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|
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|Related products and services|
|3rd parties||Navicat Monitor is a safe, simple and agentless remote server monitoring tool for SQL Server and many other database management systems.|
DBHawk: Secure access to SQL, NoSQL and Cloud databases with an all-in-one solution.
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 Datastore||Microsoft SQL Server||NSDb|
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