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DBMS > FatDB vs. Google Cloud Firestore vs. Lovefield vs. Weaviate

System Properties Comparison FatDB vs. Google Cloud Firestore vs. Lovefield vs. Weaviate

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonLovefield  Xexclude from comparisonWeaviate  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Cloud 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.Embeddable relational database for web apps written in pure JavaScriptA cloud-native, realtime vector search engine integrating scalable machine learning models
Primary database modelDocument store
Key-value store
Document storeRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.09
Rank#47  Overall
#8  Document stores
Score0.37
Rank#288  Overall
#132  Relational DBMS
Score0.44
Rank#273  Overall
#18  Search engines
Websitefirebase.google.com/­products/­firestoregoogle.github.io/­lovefieldgithub.com/­semi-technologies/­weaviate
weaviate.io
Technical documentationfirebase.google.com/­docs/­firestoregithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdweaviate.io/­developers/­weaviate/­current
DeveloperFatCloudGoogleGoogleSeMI Technologies B.V.
Initial release2012201720142017
Current release2.1.12, February 20171.0.3, January 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#JavaScriptGo
Server operating systemsWindowshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeschema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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
Secondary indexesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLno infoVia inetgration in SQL ServernoSQL-like query language infovia JavaScript builder patternGraphQL is used as query language
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC#Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaScript
Server-side scripts infoStored proceduresyes infovia applicationsyes, Firebase Rules & Cloud Functionsnono
Triggersyes infovia applicationsyes, with Cloud FunctionsUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDBno
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.noOpenID Connect Discovery
More information provided by the system vendor
FatDBGoogle Cloud FirestoreLovefieldWeaviate
Typical application scenariosAs a stand-alone vector search engine, or use one of the many modules (transformers,...
» more
Key customersA ll companies that have data. ​
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. We also offer Fully managed Weaviate on...
» more

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More resources
FatDBGoogle Cloud FirestoreLovefieldWeaviate
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Recent citations in the news

White Paper Release - Applications Achieve More Flexibility And Scalability At A Lower Cost Using .NET NoSQL Database Solution, FatDB
8 May 2013, PR Newswire

provided by Google News

EdgeDB raises $15M for open source graph-relational database
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Opinion | Fizz compromised users' privacy. It may do so again.
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Google’s Cloud Firestore NoSQL database hits general availability
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Google launches Cloud Firestore, a new document database for app developers
3 October 2017, TechCrunch

Compare Google Cloud Firestore and Firebase Realtime Database
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Amsterdam-based startup SeMI Technologies raises €14.1M for its open-source vector search engine Weaviate
23 February 2022, Silicon Canals

SeMI Technologies’ search engine opens up new ways to query your data
22 February 2022, TechCrunch

Getting Started with the Weaviate Vector Search Engine
18 May 2020, hackernoon.com

The History of the Weaviate Vector Search Engine
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