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DBMS > Badger vs. Coveo vs. FatDB vs. Firebase Realtime Database

System Properties Comparison Badger vs. Coveo vs. FatDB vs. Firebase Realtime Database

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonCoveo  Xexclude from comparisonFatDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA .NET NoSQL DBMS that can integrate with and extend SQL Server.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.
Primary database modelKey-value storeSearch engineDocument store
Key-value store
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score2.14
Rank#116  Overall
#11  Search engines
Score13.60
Rank#39  Overall
#6  Document stores
Websitegithub.com/­dgraph-io/­badgerwww.coveo.comfirebase.google.com/­products/­realtime-database
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.coveo.comfirebase.google.com/­docs/­database
DeveloperDGraph LabsCoveoFatCloudGoogle infoacquired by Google 2014
Initial release2017201220122012
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC#
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedWindowshosted
Data schemeschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnonono infoVia inetgration in SQL Serverno
APIs and other access methodsRESTful HTTP API.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Android
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesGoC#
Java
JavaScript
Python
C#Java
JavaScript
Objective-C
Server-side scripts infoStored proceduresnonoyes infovia applicationslimited functionality with using 'rules'
Triggersnoyesyes infovia applicationsCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnogranular access controls, API key management, content filtersno infoCan implement custom security layer via applicationsyes, based on authentication and database rules

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More resources
BadgerCoveoFatDBFirebase Realtime Database
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