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DBMS > Hive vs. IBM Cloudant vs. NCache vs. VictoriaMetrics

System Properties Comparison Hive vs. IBM Cloudant vs. NCache vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonNCache  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopDatabase as a Service offering based on Apache CouchDBOpen-Source and Enterprise in-memory Key-Value StoreA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSDocument storeKey-value storeTime Series DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score0.96
Rank#195  Overall
#29  Key-value stores
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitehive.apache.orgwww.ibm.com/­products/­cloudantwww.alachisoft.com/­ncachevictoriametrics.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homecloud.ibm.com/­docs/­Cloudantwww.alachisoft.com/­resources/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperApache Software Foundation infoinitially developed by FacebookIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014AlachisoftVictoriaMetrics
Initial release2012201020052018
Current release3.1.3, April 20225.3.3, April 2024v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoEnterprise Edition availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangC#, .NET, .NET Core, JavaGo
Server operating systemsAll OS with a Java VMhostedLinux
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnopartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counter
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 indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.no
APIs and other access methodsJDBC
ODBC
Thrift
RESTful HTTP/JSON APIIDistributedCache
JCache
LINQ
Proprietary native API
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC++
Java
PHP
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceView functions (Map-Reduce) in JavaScriptno infosupport for stored procedures with SQL-Server CLRno
Triggersnoyesyes infoNotificationsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
yes, with selectable consistency levelSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a document possibleoptimistic locking and pessimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
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.noyesno
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights for users can be defined per databaseAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
HiveIBM CloudantNCacheVictoriaMetrics
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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HiveIBM CloudantNCacheVictoriaMetrics
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