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DBMS > Memcached vs. Microsoft Azure Table Storage vs. NSDb vs. Spark SQL

System Properties Comparison Memcached vs. Microsoft Azure Table Storage vs. NSDb vs. Spark SQL

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Editorial information provided by DB-Engines
NameMemcached  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonNSDb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionIn-memory key-value store, originally intended for cachingA Wide Column Store for rapid development using massive semi-structured datasetsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeWide column storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.42
Rank#32  Overall
#4  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.memcached.orgazure.microsoft.com/­en-us/­services/­storage/­tablesnsdb.iospark.apache.org/­sql
Technical documentationgithub.com/­memcached/­memcached/­wikinsdb.io/­Architecturespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftApache Software Foundation
Initial release2003201220172014
Current release1.6.27, May 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoBSD licensecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, ScalaScala
Server operating systemsFreeBSD
Linux
OS X
Unix
Windows
hostedLinux
macOS
Linux
OS X
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyes: int, bigint, decimal, stringyes
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.nonono
Secondary indexesnonoall fields are automatically indexedno
SQL infoSupport of SQLnonoSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsProprietary protocolRESTful HTTP APIgRPC
HTTP REST
WebSocket
JDBC
ODBC
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresnononono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoRepcached, a Memcached patch, provides this functionallityyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentnoyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights based on private key authentication or shared access signaturesno

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More resources
MemcachedMicrosoft Azure Table StorageNSDbSpark SQL
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