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DBMS > Faircom DB vs. Faircom EDGE vs. Memcached vs. Microsoft Azure Data Explorer vs. MonetDB

System Properties Comparison Faircom DB vs. Faircom EDGE vs. Memcached vs. Microsoft Azure Data Explorer vs. MonetDB

Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsIn-memory key-value store, originally intended for cachingFully managed big data interactive analytics platformA relational database management system that stores data in columns
Primary database modelKey-value store
Relational DBMS
Key-value store
Relational DBMS
Key-value storeRelational DBMS infocolumn orientedRelational DBMS
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Websitewww.faircom.com/­products/­faircom-dbwww.faircom.com/­products/­faircom-edgewww.memcached.orgazure.microsoft.com/­services/­data-explorerwww.monetdb.org
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlgithub.com/­memcached/­memcached/­wikidocs.microsoft.com/­en-us/­azure/­data-explorerwww.monetdb.org/­Documentation
DeveloperFairCom CorporationFairCom CorporationDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftMonetDB BV
Initial release19791979200320192004
Current releaseV12, November 2020V3, October 20201.6.27, May 2024cloud service with continuous releasesDec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercial infoRestricted, free version availableOpen Source infoBSD licensecommercialOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++ANSI C, C++CC
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Android
Linux infoARM, x86
Raspbian
Windows
FreeBSD
Linux
OS X
Unix
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema free, schema optional, schema required, partial schema,Flexible Schema (defined schema, partial schema, schema free)schema-freeFixed schema with schema-less datatypes (dynamic)yes
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyes, ANSI Standard SQL Typesnoyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes
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.noyesyes
Secondary indexesyesyesnoall fields are automatically indexedyes
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsyes infoANSI SQL queriesnoKusto Query Language (KQL), SQL subsetyes infoSQL 2003 with some extensions
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Proprietary protocolMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes info.Net, JavaScript, C/C++noYes, possible languages: KQL, Python, Ryes, in SQL, C, R
Triggersyesyesnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningFile partitioning infoCustomizable business rules for partitioningnoneSharding infoImplicit feature of the cloud serviceSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).yes infoSynchronous and asynchronous realtime replication based on transaction logsnone infoRepcached, a Memcached patch, provides this functionallityyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infowhen using SQLnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyesyes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.yes infousing SASL (Simple Authentication and Security Layer) protocolAzure Active Directory Authenticationfine grained access rights according to SQL-standard

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More resources
Faircom DB infoformerly c-treeACEFaircom EDGE infoformerly c-treeEDGEMemcachedMicrosoft Azure Data ExplorerMonetDB
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