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DBMS > Apache Kylin vs. Hypertable vs. NCache vs. OrientDB

System Properties Comparison Apache Kylin vs. Hypertable vs. NCache vs. OrientDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonHypertable  Xexclude from comparisonNCache  Xexclude from comparisonOrientDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackAn open source BigTable implementation based on distributed file systems such as HadoopOpen-Source and Enterprise in-memory Key-Value StoreMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSWide column storeKey-value storeDocument store
Graph DBMS
Key-value store
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#175  Overall
#80  Relational DBMS
Score0.98
Rank#196  Overall
#29  Key-value stores
Score3.27
Rank#97  Overall
#16  Document stores
#6  Graph DBMS
#15  Key-value stores
Websitekylin.apache.orgwww.alachisoft.com/­ncacheorientdb.org
Technical documentationkylin.apache.org/­docswww.alachisoft.com/­resources/­docswww.orientdb.com/­docs/­last/­index.html
DeveloperApache Software Foundation, originally contributed from eBay IncHypertable Inc.AlachisoftOrientDB LTD; CallidusCloud; SAP
Initial release2015200920052010
Current release3.1.0, July 20200.9.8.11, March 20165.3.3, April 20243.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoEnterprise Edition availableOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C#, .NET, .NET Core, JavaJava
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeyesschema-freeschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesnopartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes
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 indexesyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.SQL-like query language, no joins
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
C++ API
Thrift
IDistributedCache
JCache
LINQ
Proprietary native API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnono infosupport for stored procedures with SQL-Server CLRJava, Javascript
Triggersnoyes infoNotificationsHooks
Partitioning methods infoMethods for storing different data on different nodesShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelyes, with selectable consistency levelMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesno infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynonoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic locking and pessimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)Access rights for users and roles; record level security configurable
More information provided by the system vendor
Apache KylinHypertableNCacheOrientDB
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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Apache KylinHypertableNCacheOrientDB
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