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

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

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonFatDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonTimesTen  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionAI-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.An in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelSearch engineDocument store
Key-value store
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.14
Rank#116  Overall
#11  Search engines
Score13.60
Rank#39  Overall
#6  Document stores
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitewww.coveo.comfirebase.google.com/­products/­realtime-databasewww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.coveo.comfirebase.google.com/­docs/­databasedocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperCoveoFatCloudGoogle infoacquired by Google 2014Oracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2012201220121998
Current releaseRelease 22.1
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#
Server operating systemshostedWindowshostedIBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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
SQL infoSupport of SQLnono infoVia inetgration in SQL Servernoyes
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
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC#
Java
JavaScript
Python
C#Java
JavaScript
Objective-C
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresnoyes infovia applicationslimited functionality with using 'rules'PL/SQL
Triggersyesyes infovia applicationsCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesyesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlgranular access controls, API key management, content filtersno infoCan implement custom security layer via applicationsyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
CoveoFatDBFirebase Realtime DatabaseTimesTen
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