DBMS > Google Cloud Datastore vs. Qdrant vs. SpaceTime
System Properties Comparison Google Cloud Datastore vs. Qdrant vs. SpaceTime
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|Editorial information provided by DB-Engines|
|Name||Google Cloud Datastore Xexclude from comparison||Qdrant Xexclude from comparison||SpaceTime Xexclude from comparison|
|Description||Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform||A high-performance vector database with neural network or semantic-based matching||SpaceTime is a spatio-temporal DBMS with a focus on performance.|
|Primary database model||Document store||Vector DBMS||Spatial DBMS|
|Secondary database models||Relational DBMS|
|License Commercial or Open Source||commercial||Open Source Apache Version 2.0||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||Docker|
|Typing predefined data types such as float or date||yes, details here||Numbers, Strings, Geo, Boolean||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||no|
|Secondary indexes||yes||yes Keywords, numberic ranges, geo, full-text||no|
|SQL Support of SQL||SQL-like query language (GQL)||no||A subset of ANSI SQL is implemented|
|APIs and other access methods||gRPC (using protocol buffers) API|
RESTful HTTP/JSON API
RESTful HTTP/JSON API OpenAPI 3.0
|RESTful HTTP API|
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||using Google App Engine||no|
|Triggers||Callbacks using the Google Apps Engine||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding||Fixed-grid hypercubes|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication using Paxos||Collection-level replication||Real-time block device replication (DRBD)|
|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.||Eventual Consistency, tunable consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes via ReferenceProperties or Ancestor paths||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|
|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||yes||no|
|User concepts Access control||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)||Key-based authentication||yes|
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|Google Cloud Datastore||Qdrant||SpaceTime|
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