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DBMS > Coveo vs. Faircom EDGE vs. FatDB vs. mSQL vs. YottaDB

System Properties Comparison Coveo vs. Faircom EDGE vs. FatDB vs. mSQL vs. YottaDB

Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFatDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonYottaDB  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 developmentFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA .NET NoSQL DBMS that can integrate with and extend SQL Server.mSQL (Mini SQL) is a simple and lightweight RDBMSA fast and solid embedded Key-value store
Primary database modelSearch engineKey-value store
Relational DBMS
Document store
Key-value store
Relational DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#114  Overall
#11  Search engines
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitewww.coveo.comwww.faircom.com/­products/­faircom-edgehughestech.com.au/­products/­msqlyottadb.com
Technical documentationdocs.coveo.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlyottadb.com/­resources/­documentation
DeveloperCoveoFairCom CorporationFatCloudHughes TechnologiesYottaDB, LLC
Initial release20121979201219942001
Current releaseV3, October 20204.4, October 2021
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availablecommercialcommercial infofree licenses can be providedOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++C#CC
Server operating systemshostedAndroid
Linux infoARM, x86
Raspbian
Windows
WindowsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Docker
Linux
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesyesno
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.noyesnono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoyes infoANSI SQL queriesno infoVia inetgration in SQL ServerA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersby using the Octo plugin
APIs and other access methodsRESTful HTTP APIADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC#
Java
JavaScript
Python
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#C
C++
Delphi
Java
Perl
PHP
Tcl
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yes infovia applicationsno
Triggersyesyesyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesyesFile partitioning infoCustomizable business rules for partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factornoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
none
Foreign keys infoReferential integrityyesyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesno
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlgranular access controls, API key management, content filtersFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.no infoCan implement custom security layer via applicationsnoUsers and groups based on OS-security mechanisms

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More resources
CoveoFaircom EDGE infoformerly c-treeEDGEFatDBmSQL infoMini SQLYottaDB
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