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DBMS > Databricks vs. Faircom EDGE vs. Memcached vs. mSQL

System Properties Comparison Databricks vs. Faircom EDGE vs. Memcached vs. mSQL

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonMemcached  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.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 cachingmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelDocument store
Relational DBMS
Key-value store
Relational DBMS
Key-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score0.02
Rank#370  Overall
#55  Key-value stores
#157  Relational DBMS
Score16.84
Rank#32  Overall
#4  Key-value stores
Score1.26
Rank#163  Overall
#74  Relational DBMS
Websitewww.databricks.comwww.faircom.com/­products/­faircom-edgewww.memcached.orghughestech.com.au/­products/­msql
Technical documentationdocs.databricks.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlgithub.com/­memcached/­memcached/­wiki
DeveloperDatabricksFairCom CorporationDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalHughes Technologies
Initial release2013197920031994
Current releaseV3, October 20201.6.29, June 20244.4, October 2021
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availableOpen Source infoBSD licensecommercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++CC
Server operating systemshostedAndroid
Linux infoARM, x86
Raspbian
Windows
FreeBSD
Linux
OS X
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)Flexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesnoyes
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.yesyesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLyes infoANSI SQL queriesnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Proprietary protocolJDBC
ODBC
Supported programming languagesPython
R
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes info.Net, JavaScript, C/C++nono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoSynchronous and asynchronous realtime replication based on transaction logsnone infoRepcached, a Memcached patch, provides this functionallitynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
none
Foreign keys infoReferential integrityyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesno
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.yes infousing SASL (Simple Authentication and Security Layer) protocolno
More information provided by the system vendor
DatabricksFaircom EDGE infoformerly c-treeEDGEMemcachedmSQL infoMini SQL
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksFaircom EDGE infoformerly c-treeEDGEMemcachedmSQL infoMini SQL
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