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DBMS > Faircom EDGE vs. Ingres vs. LeanXcale vs. Oracle NoSQL vs. Valentina Server

System Properties Comparison Faircom EDGE vs. Ingres vs. LeanXcale vs. Oracle NoSQL vs. Valentina Server

Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonIngres  Xexclude from comparisonLeanXcale  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsWell established RDBMSA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesObject-relational database and reports server
Primary database modelKey-value store
Relational DBMS
Relational DBMSKey-value store
Relational DBMS
Document store
Key-value store
Relational DBMS
Relational 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
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitewww.faircom.com/­products/­faircom-edgewww.actian.com/­databases/­ingreswww.leanxcale.comwww.oracle.com/­database/­nosql/­technologies/­nosqlwww.valentina-db.net
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.actian.com/­ingresdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperFairCom CorporationActian CorporationLeanXcaleOracleParadigma Software
Initial release19791974 infooriginally developed at University Berkely in early 1970s201520111999
Current releaseV3, October 202011.2, May 202224.1, May 20245.7.5
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialcommercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)commercial
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++CJava
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Solaris SPARC/x86
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesoptionalyes
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 infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoANSI SQL queriesyesyes infothrough Apache DerbySQL-like DML and DDL statementsyes
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
proprietary protocol (OpenAPI)
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
RESTful HTTP APIODBC
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
Java
Scala
C
C#
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yesnoyes
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioninghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsIngres ReplicatorElectable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integrityyes infowhen using SQLyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDconfigurable infoACID within a storage node (=shard)
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyes infoMVCCyesyes
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 infooff heap cacheyes
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-standardAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Faircom EDGE infoformerly c-treeEDGEIngresLeanXcaleOracle NoSQLValentina Server
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