DBMS > Cloudflare Workers KV vs. Google Cloud Datastore vs. Hyprcubd
System Properties Comparison Cloudflare Workers KV vs. Google Cloud Datastore vs. Hyprcubd
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|Editorial information provided by DB-Engines|
|Name||Cloudflare Workers KV Xexclude from comparison||Google Cloud Datastore Xexclude from comparison||Hyprcubd Xexclude from comparison|
|Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.|
|Description||A global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.||Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform||Serverless Time Series DBMS|
|Primary database model||Key-value store||Document store||Time Series DBMS|
|License Commercial or Open Source||commercial||commercial||commercial|
|Cloud-based only Only available as a cloud service||yes||yes||yes|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||hosted||hosted|
|Typing predefined data types such as float or date||no||yes, details here||yes time, int, uint, float, 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||no||no|
|SQL Support of SQL||no||SQL-like query language (GQL)||SQL-like query language|
|APIs and other access methods||HTTP REST|
|gRPC (using protocol buffers) API|
RESTful HTTP/JSON API
|Supported programming languages||C|
|Server-side scripts Stored procedures||no||using Google App Engine||no|
|Triggers||no||Callbacks using the Google Apps Engine||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Multi-source replication using Paxos|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes using Google Cloud Dataflow||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency||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.||Eventual Consistency|
|Foreign keys Referential integrity||no||yes via ReferenceProperties or Ancestor paths||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID Serializable Isolation within Transactions, Read Committed outside of Transactions||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||no|
|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||no|
|User concepts Access control||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)||token access|
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|Cloudflare Workers KV||Google Cloud Datastore||Hyprcubd|
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