DBMS > Google Cloud Datastore vs. HEAVY.AI vs. Prometheus
System Properties Comparison Google Cloud Datastore vs. HEAVY.AI vs. Prometheus
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|Editorial information provided by DB-Engines|
|Name||Google Cloud Datastore Xexclude from comparison||HEAVY.AI Formerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022 Xexclude from comparison||Prometheus Xexclude from comparison|
|Description||Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform||A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware||Open-source TimeSeries DBMS and monitoring system|
|Primary database model||Document store||Relational DBMS||Time Series DBMS|
|Secondary database models||Spatial DBMS|
|Current release||5.10, January 2022|
|License Commercial or Open Source||commercial||Open Source Apache Version 2; enterprise edition available||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Implementation language||C++ and CUDA||Go|
|Server operating systems||hosted||Linux||Linux|
|Typing predefined data types such as float or date||yes, details here||yes||Numeric data only|
|no||no||no Import of XML data possible|
|SQL Support of SQL||SQL-like query language (GQL)||yes||no|
|APIs and other access methods||gRPC (using protocol buffers) API|
RESTful HTTP/JSON API
|RESTful HTTP/JSON API|
|Supported programming languages||.Net|
|All languages supporting JDBC/ODBC/Thrift|
|Server-side scripts Stored procedures||using Google App Engine||no||no|
|Triggers||Callbacks using the Google Apps Engine||no||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding Round robin||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication using Paxos||Multi-source replication||yes by Federation|
|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||none|
|Foreign keys Referential integrity||yes via ReferenceProperties or Ancestor paths||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID Serializable Isolation within Transactions, Read Committed outside of Transactions||no||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||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||no|
More information provided by the system vendor
Related products and services
|Google Cloud Datastore||HEAVY.AI Formerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022||Prometheus|
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