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DBMS > Memcached vs. openGemini vs. PouchDB vs. Spark SQL

System Properties Comparison Memcached vs. openGemini vs. PouchDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameMemcached  Xexclude from comparisonopenGemini  Xexclude from comparisonPouchDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionIn-memory key-value store, originally intended for cachingAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityJavaScript DBMS with an API inspired by CouchDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeTime Series DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.08
Rank#32  Overall
#4  Key-value stores
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.memcached.orgwww.opengemini.org
github.com/­openGemini
pouchdb.comspark.apache.org/­sql
Technical documentationgithub.com/­memcached/­memcached/­wikidocs.opengemini.org/­guidepouchdb.com/­guidesspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalHuawei and openGemini communityApache Software FoundationApache Software Foundation
Initial release2003202220122014
Current release1.6.27, May 20241.1, July 20237.1.1, June 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoApache Version 2.0Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCGoJavaScriptScala
Server operating systemsFreeBSD
Linux
OS X
Unix
Windows
Linux
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoInteger, Float, Boolean, Stringnoyes
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 indexesnoyesyes infovia viewsno
SQL infoSupport of SQLnoSQL-like query languagenoSQL-like DML and DDL statements
APIs and other access methodsProprietary protocolHTTP RESTHTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
JavaScriptJava
Python
R
Scala
Server-side scripts infoStored proceduresnonoView functions in JavaScriptno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infowith a proxy-based framework, named couchdb-loungeyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoRepcached, a Memcached patch, provides this functionallityyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentnoyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlyes infousing SASL (Simple Authentication and Security Layer) protocolAdministrators and common users accountsnono

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More resources
MemcachedopenGeminiPouchDBSpark SQL
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