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DBMS > Faircom EDGE vs. FatDB vs. mSQL vs. Warp 10 vs. YottaDB

System Properties Comparison Faircom EDGE vs. FatDB vs. mSQL vs. Warp 10 vs. YottaDB

Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFatDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonWarp 10  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.
DescriptionFairCom 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 RDBMSTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBaseA fast and solid embedded Key-value store
Primary database modelKey-value store
Relational DBMS
Document store
Key-value store
Relational DBMSTime Series DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitewww.faircom.com/­products/­faircom-edgehughestech.com.au/­products/­msqlwww.warp10.ioyottadb.com
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.warp10.io/­content/­02_Getting_startedyottadb.com/­resources/­documentation
DeveloperFairCom CorporationFatCloudHughes TechnologiesSenXYottaDB, LLC
Initial release19792012199420152001
Current releaseV3, October 20204.4, October 2021
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialcommercial infofree licenses can be providedOpen Source infoApache License 2.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++C#CJavaC
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
WindowsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
Docker
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyesyesno
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.yesnonono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyes infoANSI SQL queriesno infoVia inetgration in SQL ServerA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoby using the Octo plugin
APIs and other access methodsADO.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
HTTP API
Jupyter
WebSocket
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC
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 proceduresyes info.Net, JavaScript, C/C++yes infovia applicationsnoyes infoWarpScript
Triggersyesyes infovia applicationsnono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factornoneselectable replication factor infobased on HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
noneImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyes infowhen using SQLnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesnoyes
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.yesnoyesyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.no infoCan implement custom security layer via applicationsnoMandatory use of cryptographic tokens, containing fine-grained authorizationsUsers and groups based on OS-security mechanisms

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More resources
Faircom EDGE infoformerly c-treeEDGEFatDBmSQL infoMini SQLWarp 10YottaDB
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