DBMS > Google Cloud Datastore vs. STSdb vs. TigerGraph
System Properties Comparison Google Cloud Datastore vs. STSdb vs. TigerGraph
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|Editorial information provided by DB-Engines|
|Name||Google Cloud Datastore Xexclude from comparison||STSdb Xexclude from comparison||TigerGraph Xexclude from comparison|
|Description||Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform||Key-Value Store with special method for indexing optimized for high performance using a special indexing method||A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time|
|Primary database model||Document store||Key-value store||Graph DBMS|
|Developer||STS Soft SC|
|Current release||4.0.8, September 2015|
|License Commercial or Open Source||commercial||Open Source GPLv2, commercial license 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||Windows||Linux|
|Typing predefined data types such as float or date||yes, details here||yes primitive types and user defined types (classes)||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||no|
|SQL Support of SQL||SQL-like query language (GQL)||no||SQL-like query language (GSQL)|
|APIs and other access methods||gRPC (using protocol buffers) API|
RESTful HTTP/JSON API
|.NET Client API||GSQL (TigerGraph Query Language)|
RESTful HTTP/JSON API
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||using Google App Engine||no||yes|
|Triggers||Callbacks using the Google Apps Engine||no||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||none|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication using Paxos||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes using Google Cloud Dataflow||no||yes|
|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.|
|Foreign keys Referential integrity||yes via ReferenceProperties or Ancestor paths||no||yes Relationships in graphs|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID Serializable Isolation within Transactions, Read Committed outside of Transactions||no||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||no|
|User concepts Access control||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)||no||Role-based access control|
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|Google Cloud Datastore||STSdb||TigerGraph|
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