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DBMS > AnzoGraph DB vs. Databend vs. Faircom EDGE vs. FatDB vs. mSQL

System Properties Comparison AnzoGraph DB vs. Databend vs. Faircom EDGE vs. FatDB vs. mSQL

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDatabend  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFatDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityFairCom 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 RDBMS
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value store
Relational DBMS
Document store
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Websitecambridgesemantics.com/­anzographgithub.com/­datafuselabs/­databend
www.databend.com
www.faircom.com/­products/­faircom-edgehughestech.com.au/­products/­msql
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.databend.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.html
DeveloperCambridge SemanticsDatabend LabsFairCom CorporationFatCloudHughes Technologies
Initial release20182021197920121994
Current release2.3, January 20211.0.59, April 2023V3, October 20204.4, October 2021
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2.0commercial infoRestricted, free version availablecommercialcommercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustANSI C, C++C#C
Server operating systemsLinuxhosted
Linux
macOS
Android
Linux infoARM, x86
Raspbian
Windows
WindowsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesyes
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.nonoyesno
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesyes infoANSI SQL queriesno infoVia inetgration in SQL ServerA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
CLI Client
JDBC
RESTful HTTP API
ADO.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
Supported programming languagesC++
Java
Python
Go
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes info.Net, JavaScript, C/C++yes infovia applicationsno
Triggersnonoyesyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneFile partitioning infoCustomizable business rules for partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusternoneyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
none
Foreign keys infoReferential integrityno infonot needed in graphsnoyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyesno
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.yesyesno
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization concept, user rolesFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.no infoCan implement custom security layer via applicationsno

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More resources
AnzoGraph DBDatabendFaircom EDGE infoformerly c-treeEDGEFatDBmSQL infoMini SQL
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