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DBMS > Apache Spark (SQL) vs. CouchDB vs. GridGain

System Properties Comparison Apache Spark (SQL) vs. CouchDB vs. GridGain

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGridGain  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.GridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelRelational DBMSDocument storeColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.76
Rank#30  Overall
#18  Relational DBMS
Score7.34
Rank#46  Overall
#7  Document stores
Score1.32
Rank#156  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#70  Relational DBMS
Websitespark.apache.org/­sqlcouchdb.apache.orgwww.gridgain.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.couchdb.org/­en/­stablewww.gridgain.com/­docs/­index.html
DeveloperApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGridGain Systems, Inc.
Initial release201420052007
Current release3.5.0 ( 2.13), September 20233.3.3, December 2023GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2commercial, open source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaErlangJava, C++, .Net, Python, REST, SQL
Server operating systemsLinux
OS X
Windows
Android
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
z/OS
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.nonoyes
Secondary indexesnoyes infovia viewsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesJava
Python
R
Scala
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoView functions in JavaScriptyes (compute grid and cache interceptors can be used instead)
Triggersnoyesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreSharding infoimproved architecture with release 2.0Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
yes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnoAccess rights for users can be defined per databaseRole-based access control
Security Hooks for custom implementations

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Apache Spark (SQL)CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"GridGain
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