DBMS > Apache Kylin vs. Geode vs. PouchDB

System Properties Comparison Apache Kylin vs. Geode vs. PouchDB

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Editorial information provided by DB-Engines
Name	Apache Kylin  Xexclude from comparison	Geode  Xexclude from comparison	PouchDB  Xexclude from comparison
Description	A distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stack	Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processes	JavaScript DBMS with an API inspired by CouchDB
Primary database model	Relational DBMS	Key-value store	Document store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 1.31 Rank #151   Overall #73   Relational DBMS	Score 1.70 Rank #137   Overall #26   Key-value stores	Score 3.10 Rank #99   Overall #18   Document stores
Website	kylin.apache.org	geode.apache.org	pouchdb.com
Technical documentation	kylin.apache.org/­docs	geode.apache.org/­docs	pouchdb.com/­guides
Developer	Apache Software Foundation, originally contributed from eBay Inc	Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.	Apache Software Foundation
Initial release	2015	2002	2012
Current release	3.1.0, July 2020	1.1, February 2017	7.1.1, June 2019
License Commercial or Open Source	Open Source Apache Version 2.0	Open Source Apache Version 2; commercial licenses available as Gemfire	Open Source
Cloud-based only Only available as a cloud service	no	no	no
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Implementation language	Java	Java	JavaScript
Server operating systems	Linux	All OS with a Java VM the JDK (8 or later) is also required	server-less, requires a JavaScript environment (browser, Node.js)
Data scheme	yes	schema-free	schema-free
Typing predefined data types such as float or date	yes	yes	no
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	no	no
Secondary indexes	yes	no	yes via views
SQL Support of SQL	ANSI SQL for queries (using Apache Calcite)	SQL-like query language (OQL)	no
APIs and other access methods	JDBC ODBC RESTful HTTP API	Java Client API Memcached protocol RESTful HTTP API	HTTP REST only for PouchDB Server JavaScript API
Supported programming languages		.Net All JVM based languages C++ Groovy Java Scala	JavaScript
Server-side scripts Stored procedures		user defined functions	View functions in JavaScript
Triggers		yes Cache Event Listeners	yes
Partitioning methods Methods for storing different data on different nodes		Sharding	Sharding with a proxy-based framework, named couchdb-lounge
Replication methods Methods for redundantly storing data on multiple nodes		Multi-source replication	Multi-source replication also with CouchDB databases Source-replica replication also with CouchDB databases
MapReduce Offers an API for user-defined Map/Reduce methods	yes	no	yes
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Eventual Consistency	Eventual Consistency
Foreign keys Referential integrity		no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data		yes, on a single node	no
Concurrency Support for concurrent manipulation of data	yes	yes
Durability Support for making data persistent	yes	yes	yes by using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes	yes
User concepts Access control		Access rights per client and object definable	no
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