DB-EnginesExtremeDB: the first and only COTS deterministic embedded database management system for mission- and safety-critical hard real-time applicationsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Memcached vs. Spark SQL

System Properties Comparison Memcached vs. Spark SQL

Please select another system to include it in the comparison.

Our visitors often compare Memcached and Spark SQL with MongoDB, Elasticsearch and Cassandra.

Editorial information provided by DB-Engines
NameMemcached  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionIn-memory key-value store, originally intended for cachingSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score26.27
Rank#31  Overall
#4  Key-value stores
Score22.97
Rank#34  Overall
#20  Relational DBMS
Websitewww.memcached.orgspark.apache.org/­sql
Technical documentationgithub.com/­memcached/­memcached/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalApache Software Foundation
Initial release20032014
Current release1.6.9, November 20203.2.0, October 2021
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCScala
Server operating systemsFreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or datenoyes
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.no
Secondary indexesnono
SQL infoSupport of SQLnoSQL-like DML and DDL statements
APIs and other access methodsProprietary protocolJDBC
ODBC
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoRepcached, a Memcached patch, provides this functionallitynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlyes infousing SASL (Simple Authentication and Security Layer) protocolno

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
MemcachedSpark SQL
DB-Engines blog posts

Redis extends the lead in the DB-Engines key-value store ranking
3 February 2014, Matthias Gelbmann

New DB-Engines Ranking shows the popularity of database management systems
3 October 2012, Matthias Gelbmann, Paul Andlinger

show all

Recent citations in the news

Where in-memory caching makes sense
3 December 2021, The Register

Google Releases Memorystore for Memcached into General Availability
9 March 2021, InfoQ.com

Intel Powers New Amazon EC2 R6i Instance
23 November 2021, HPCwire

Memcached DDoS Explained
25 August 2021, akamai.com

What are memcached servers, and why are they being used to launch record-setting DDoS attacks?
6 March 2018, GeekWire

provided by Google News

Apache Spark Brings Pandas API with Version 3.2
4 November 2021, InfoQ.com

Compare Hadoop vs. Spark vs. Kafka for your big data strategy
15 November 2021, TechTarget

How Much Do Data Scientists Make?
1 December 2021, iLounge

2015 - Spark Takes the Big Data World by Storm
1 July 2021, Datanami

Microsoft : Accelerate big data analytics with Spark 3.0 connector for SQL Server—now generally available
13 July 2021, marketscreener.com

provided by Google News

Job opportunities

Python Developer
Stefanini, Inc, New York, NY

SIEM/Detection Engineer
Holman Automotive Group, Remote

AWS Architect
spar information systems, Remote

Production Engineer, Reality Labs
Facebook App, Remote

Python Backend Developer
Stefanini, Inc, Dallas, TX

Python/Spark/SQL Data Egnineer
Zettalogix, Iselin, NJ

Analytics Consulting
Experian, East Hampton, NY

Analytics Consulting
Experian, Costa Mesa, CA

Sr. PL/SQL Developer ( with Hadoop )
Tektree, San Jose, CA

Data Scientist: 21-07353
Akraya Inc., California

jobs by Indeed



Share this page

Featured Products

Couchbase logo

The modern database for enterprise applications. Build fast. Scale Big. Save more.
Get started today.

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here