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DBMS > Faircom EDGE vs. MonetDB vs. openGauss vs. Qdrant

System Properties Comparison Faircom EDGE vs. MonetDB vs. openGauss vs. Qdrant

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonMonetDB  Xexclude from comparisonopenGauss  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA relational database management system that stores data in columnsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiA high-performance vector database with neural network or semantic-based matching
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial 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
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score1.28
Rank#167  Overall
#8  Vector DBMS
Websitewww.faircom.com/­products/­faircom-edgewww.monetdb.orggitee.com/­opengauss
opengauss.org
github.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.monetdb.org/­Documentationdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
qdrant.tech/­documentation
DeveloperFairCom CorporationMonetDB BVHuawei and openGauss communityQdrant
Initial release1979200420192021
Current releaseV3, October 2020Dec2023 (11.49), December 20233.0, March 2022
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoMozilla Public License 2.0Open SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++CC, C++, JavaRust
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
FreeBSD
Linux
OS X
Solaris
Windows
LinuxDocker
Linux
macOS
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL TypesyesyesNumbers, Strings, Geo, Boolean
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.yesnono
Secondary indexesyesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLyes infoANSI SQL queriesyes infoSQL 2003 with some extensionsANSI SQL 2011no
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Java
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes, in SQL, C, Ryes
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningSharding via remote tableshorizontal partitioning (by range, list and hash)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsnone infoSource-replica replication available in experimental statusSource-replica replicationCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyes infowhen using SQLyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesyes
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.yesnoyes
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, groups and roles according to SQL-standardKey-based authentication

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More resources
Faircom EDGE infoformerly c-treeEDGEMonetDBopenGaussQdrant
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