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DBMS > Apache Spark (SQL) vs. Faircom EDGE vs. Memcached

System Properties Comparison Apache Spark (SQL) vs. Faircom EDGE vs. Memcached

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingFairCom 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 caching
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.80
Rank#31  Overall
#19  Relational DBMS
Score0.02
Rank#364  Overall
#55  Key-value stores
#153  Relational DBMS
Score16.60
Rank#34  Overall
#4  Key-value stores
Websitespark.apache.org/­sqlwww.faircom.com/­products/­faircom-edgewww.memcached.org
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlgithub.com/­memcached/­memcached/­wiki
DeveloperApache Software FoundationFairCom CorporationDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release201419792003
Current release3.5.0 ( 2.13), September 2023V3, October 20201.6.29, June 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoRestricted, free version availableOpen Source infoBSD license
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaANSI C, C++C
Server operating systemsLinux
OS X
Windows
Android
Linux infoARM, x86
Raspbian
Windows
FreeBSD
Linux
OS X
Unix
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesno
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.noyes
Secondary indexesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoANSI SQL queriesno
APIs and other access methodsJDBC
ODBC
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Proprietary protocol
Supported programming languagesJava
Python
R
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++no
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreFile partitioning infoCustomizable business rules for partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsnone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.yes infousing SASL (Simple Authentication and Security Layer) protocol

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Apache Spark (SQL)Faircom EDGE infoformerly c-treeEDGEMemcached
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