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DBMS > Apache Kylin vs. HBase vs. NSDb vs. Valentina Server

System Properties Comparison Apache Kylin vs. HBase vs. NSDb vs. Valentina Server

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonHBase  Xexclude from comparisonNSDb  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackWide-column store based on Apache Hadoop and on concepts of BigTableScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesObject-relational database and reports server
Primary database modelRelational DBMSWide column storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.26
Rank#175  Overall
#81  Relational DBMS
Score31.60
Rank#26  Overall
#2  Wide column stores
Score0.07
Rank#369  Overall
#40  Time Series DBMS
Score0.18
Rank#331  Overall
#145  Relational DBMS
Websitekylin.apache.orghbase.apache.orgnsdb.iowww.valentina-db.net
Technical documentationkylin.apache.org/­docshbase.apache.org/­book.htmlnsdb.io/­Architecturevalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation, originally contributed from eBay IncApache Software Foundation infoApache top-level project, originally developed by PowersetParadigma Software
Initial release2015200820171999
Current release3.1.0, July 20202.3.4, January 20215.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, Scala
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
Linux
macOS
Linux
OS X
Windows
Data schemeyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyes: 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 indexesyesnoall fields are automatically indexedyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
gRPC
HTTP REST
WebSocket
ODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
Java
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanoyes
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)no
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standard

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More resources
Apache KylinHBaseNSDbValentina Server
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