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DBMS > Faircom EDGE vs. IBM Db2 warehouse vs. SQLite vs. YottaDB

System Properties Comparison Faircom EDGE vs. IBM Db2 warehouse vs. SQLite vs. YottaDB

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonSQLite  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsCloud-based data warehousing serviceWidely used embeddable, in-process RDBMSA fast and solid embedded Key-value store
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational 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
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitewww.faircom.com/­products/­faircom-edgewww.ibm.com/­products/­db2/­warehousewww.sqlite.orgyottadb.com
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.sqlite.org/­docs.htmlyottadb.com/­resources/­documentation
DeveloperFairCom CorporationIBMDwayne Richard HippYottaDB, LLC
Initial release1979201420002001
Current releaseV3, October 20203.45.3  (15 April 2024), April 2024
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialOpen Source infoPublic DomainOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++CC
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
hostedserver-lessDocker
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes infodynamic column typesschema-free
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyes infonot rigid because of 'dynamic typing' concept.no
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.yesno infoImport/export of XML data possiblenono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infoANSI SQL queriesyesyes infoSQL-92 is not fully supportedby 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
JDBC
ODBC
OLE DB
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++PL/SQL, SQL PLno
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyes infovia file-system locks
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.yesyesyesyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.fine grained access rights according to SQL-standardnoUsers and groups based on OS-security mechanisms

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More resources
Faircom EDGE infoformerly c-treeEDGEIBM Db2 warehouse infoformerly named IBM dashDBSQLiteYottaDB
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