DBMS > Google Cloud Datastore vs. Kinetica
System Properties Comparison Google Cloud Datastore vs. Kinetica
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines|
|Name||Google Cloud Datastore Xexclude from comparison||Kinetica Xexclude from comparison|
|Description||Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform||Fully vectorized database across both GPUs and CPUs|
|Primary database model||Document store||Relational DBMS|
|Secondary database models||Spatial DBMS|
Time Series DBMS
|Current release||7.1, August 2021|
|License Commercial or Open Source||commercial||commercial|
|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.
|Implementation language||C, C++|
|Server operating systems||hosted||Linux|
|Typing predefined data types such as float or date||yes, details here||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)||SQL-like DML and DDL statements|
|APIs and other access methods||gRPC (using protocol buffers) API|
RESTful HTTP/JSON API
RESTful HTTP API
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||using Google App Engine||user defined functions|
|Triggers||Callbacks using the Google Apps Engine||yes triggers when inserted values for one or more columns fall within a specified range|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication using Paxos||Source-replica replication|
|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 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 or Eventual Consistency depending on configuration|
|Foreign keys Referential integrity||yes via ReferenceProperties or Ancestor paths||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID Serializable Isolation within Transactions, Read Committed outside of Transactions||no|
|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 GPU vRAM or System RAM|
|User concepts Access control||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)||Access rights for users and roles on table level|
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
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Google Cloud Datastore||Kinetica|
|Recent citations in the news|
Compare Google Cloud Storage vs. Google Drive for enterprises
BigID Data Intelligence Platform Now Available on Google Cloud Marketplace
How Forbes Built Its AI-Powered Tool, Adelaide On Google Cloud Vertex
How is Google helping manage AI with data residency?
Storage and Data Protection News for the Week of November 10 ...
provided by Google News
Transforming spatiotemporal data analysis with GPUs and generative AI
Mahindra Formula E Racing Selects Kinetica for Lightning-Fast Insights
Kinetica Announces Conversational Query - ChatGPT Integration ...
Kinetica Now Free Forever in Cloud Hosted Version; Accelerate the ...
Review: Kinetica analyzes billions of rows in real time
provided by Google News
Cloud Services Fellow
Senior Software Engineer
Senior Full Stack Engineer for Payment Initiation Platform - Assistant Vice President
Staff Software Developer
Share this page