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DBMS > Apache Kylin vs. GigaSpaces vs. OpenEdge vs. PouchDB

System Properties Comparison Apache Kylin vs. GigaSpaces vs. OpenEdge vs. PouchDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonGigaSpaces  Xexclude from comparisonOpenEdge  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsApplication development environment with integrated database management systemJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSDocument store
Secondary database modelsGraph DBMS
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DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitekylin.apache.orgwww.gigaspaces.comwww.progress.com/­openedgepouchdb.com
Technical documentationkylin.apache.org/­docsdocs.gigaspaces.com/­latest/­landing.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latestpouchdb.com/­guides
DeveloperApache Software Foundation, originally contributed from eBay IncGigaspaces TechnologiesProgress Software CorporationApache Software Foundation
Initial release2015200019842012
Current release3.1.0, July 202015.5, September 2020OpenEdge 12.2, March 20207.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial licenses availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetJavaScript
Server operating systemsLinuxLinux
macOS
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nono infoXML can be used for describing objects metadatayesno
Secondary indexesyesyesyesyes infovia views
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-99 for query and DML statementsyes infoclose to SQL 92no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
C++
Java
Python
Scala
Progress proprietary ABL (Advanced Business Language)JavaScript
Server-side scripts infoStored proceduresyesyesView functions in JavaScript
Triggersyes, event driven architectureyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infosince Version 11.4Sharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoMap-Reduce pattern can be built with XAP task executorsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlRole-based access controlUsers and groupsno

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Apache KylinGigaSpacesOpenEdgePouchDB
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