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DBMS > Hive vs. IRONdb vs. Kinetica vs. NuoDB

System Properties Comparison Hive vs. IRONdb vs. Kinetica vs. NuoDB

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonIRONdb  Xexclude from comparisonKinetica  Xexclude from comparisonNuoDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityGPU-accelerated database for real-time analysis of large and streaming datasetsNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score83.53
Rank#14  Overall
#9  Relational DBMS
Score0.06
Rank#305  Overall
#26  Time Series DBMS
Score0.59
Rank#198  Overall
#95  Relational DBMS
Score1.06
Rank#147  Overall
#72  Relational DBMS
Websitehive.apache.orgwww.irondb.iowww.kinetica.comwww.nuodb.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.irondb.io/­docswww.kinetica.com/­docsdoc.nuodb.com
DeveloperApache Software Foundation infoinitially developed by FacebookCirconus LLC.KineticaNuoDB, Inc.
Initial release2012201720122013
Current release3.1.2, August 2019V0.10.20, January 20186.0
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialcommercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C, C++C++
Server operating systemsAll OS with a Java VMLinuxLinuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
Thrift
HTTP APIJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes, in Luauser defined functionsJava, SQL
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeShardingdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorconfigurable replication factor, datacenter awareMaster-slave replicationyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC
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 infoGPU vRAM or System RAMyes infoTemporary table
User concepts infoAccess controlAccess rights for users, groups and rolesnoAccess rights for users and roles on table levelStandard SQL roles/ privileges, Administrative Users
More information provided by the system vendor
HiveIRONdbKineticaNuoDB
Specific characteristicsIRONdb is a highly available, distributed Time Series Database. It can support dozens...
» more
Horizontal scale-out, continuous availability, multi-tenant support, ANSI SQL compatible,...
» more
Competitive advantagesUnmatched Scalability IRONdb is unique among TSDBs in that it does not use a consensus...
» more
NuoDB is a scale-out SQL RDBMS based on a Durable Distributed Caching (DDC) architecture....
» more
Typical application scenariosReal Systems Monitoring Monitor your systems infrastructure in real time across thousands...
» more
Operational / OLTP database workloads in data centers or public clouds
» more
Key customersIRONdb serves the needs of the world's largest Time Series Database customers. One...
» more
Dassault Systemes, Santander, Temenos
» more
Market metricsOnly TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
» more
Fast growing commercial and enterprise customer base IDC Innovators: Dynamically...
» more
Licensing and pricing modelsIRONdb is licensed under a subscription model based on the number of active metrics...
» more
Subscription-based pricing with free community edition and commercial enterprise...
» more
News

How to Think About Database ROI as You Move to the Cloud (Corporate Blog)
12 February 2020

What Does Distributed SQL Really Mean? (Tech Blog)
5 February 2020

Deploy the NuoDB Database in Docker Containers - Part I (Tech Blog)
23 January 2020

Running NuoDB in Docker - Part III: How to use common SQL execution GUI tools with NuoDB (Tech Blog)
16 January 2020

Why and When You Need Transactional DDL in Your Database (Tech Blog)
2 January 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesDremio is like magic for Hive accelerating your analytical queries up to 1,000x.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
HiveIRONdbKineticaNuoDB
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