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DBMS > Faircom EDGE vs. NSDb vs. OpenMLDB vs. PouchDB

System Properties Comparison Faircom EDGE vs. NSDb vs. OpenMLDB vs. PouchDB

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonNSDb  Xexclude from comparisonOpenMLDB  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAn open-source machine learning database that provides a feature platform for training and inferenceJavaScript DBMS with an API inspired by CouchDB
Primary database modelKey-value store
Relational DBMS
Time Series DBMSTime Series DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitewww.faircom.com/­products/­faircom-edgensdb.ioopenmldb.aipouchdb.com
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlnsdb.io/­Architectureopenmldb.ai/­docs/­zh/­mainpouchdb.com/­guides
DeveloperFairCom Corporation4 Paradigm Inc.Apache Software Foundation
Initial release1979201720202012
Current releaseV3, October 20202024-2 February 20247.1.1, June 2019
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoApache Version 2.0Open SourceOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++Java, ScalaC++, Java, ScalaJavaScript
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
macOS
Linuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeFlexible Schema (defined schema, partial schema, schema free)Fixed schemaschema-free
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyes: int, bigint, decimal, stringyesno
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 indexesyesall fields are automatically indexedyesyes infovia views
SQL infoSupport of SQLyes infoANSI SQL queriesSQL-like query languageyesno
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
JDBC
SQLAlchemy
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Java
Scala
C++
Go
Java
Python
Scala
JavaScript
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++nonoView functions in JavaScript
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningShardinghorizontal partitioningSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infowhen using SQLnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
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-standardno

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More resources
Faircom EDGE infoformerly c-treeEDGENSDbOpenMLDBPouchDB
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