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DBMS > Google Cloud Firestore vs. OushuDB vs. Qdrant

System Properties Comparison Google Cloud Firestore vs. OushuDB vs. Qdrant

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonOushuDB  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningA high-performance vector database with neural network or semantic-based matching
Primary database modelDocument storeRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score0.04
Rank#363  Overall
#154  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websitefirebase.google.com/­products/­firestorewww.oushu.com/­product/­oushuDBgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationfirebase.google.com/­docs/­firestorewww.oushu.com/­documentationqdrant.tech/­documentation
DeveloperGoogleOushuQdrant
Initial release20172021
Current release4.0.1, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRust
Server operating systemshostedLinuxDocker
Linux
macOS
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Boolean
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.nono
Secondary indexesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnoFull-featured ANSI SQL supportno
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C++
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes
Triggersyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud DataflowHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID
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.yes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Kerberos, SSL and role based accessKey-based authentication

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More resources
Google Cloud FirestoreOushuDBQdrant
DB-Engines blog posts

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Recent citations in the news

Realtime vs Cloud Firestore: Which Firebase Database to go?
8 March 2024, Appinventiv

Google's AI-First Strategy Brings Vector Support To Cloud Databases
1 March 2024, Forbes

Google's Cloud Firestore is now generally available
31 January 2019, ZDNet

Google launches Cloud Firestore, a new document database for app developers
3 October 2017, TechCrunch

Google's Cloud-Native NoSQL Database Cloud Firestore Is Now Generally Available
8 February 2019, InfoQ.com

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Qdrant Announces an Industry-First Hybrid Cloud Offering For Enterprise AI Applications
16 April 2024, Business Wire

Qdrant launches first vector database as a managed hybrid cloud
16 April 2024, VentureBeat

Qdrant Raises $28M to Advance Massive-Scale AI Applications
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