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DBMS > Google Cloud Datastore vs. Qdrant vs. Rockset

System Properties Comparison Google Cloud Datastore vs. Qdrant vs. Rockset

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonQdrant  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA high-performance vector database with neural network or semantic-based matchingA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument storeVector DBMSDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#71  Overall
#12  Document stores
Score1.53
Rank#145  Overall
#7  Vector DBMS
Score1.07
Rank#180  Overall
#31  Document stores
Websitecloud.google.com/­datastoregithub.com/­qdrant/­qdrant
qdrant.tech
rockset.com
Technical documentationcloud.google.com/­datastore/­docsqdrant.tech/­documentationdocs.rockset.com
DeveloperGoogleQdrantRockset
Initial release200820212019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++
Server operating systemshostedDocker
Linux
macOS
Windows
hosted
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes, details hereNumbers, Strings, Geo, Booleandynamic typing
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono infoingestion from XML files supported
Secondary indexesyesyes infoKeywords, numberic ranges, geo, full-textall fields are automatically indexed
SQL infoSupport of SQLSQL-like query language (GQL)noRead-only SQL queries, including JOINs
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
HTTP REST
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresusing Google App Engineno
TriggersCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosCollection-level replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong 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 consistencyEventual Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Key-based authenticationAccess rights for users and organizations can be defined via Rockset console

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More resources
Google Cloud DatastoreQdrantRockset
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