DB-EnginesCrateDB bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Hive vs. IRONdb vs. MySQL vs. RDF4J

System Properties Comparison Hive vs. IRONdb vs. MySQL vs. RDF4J

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonIRONdb  Xexclude from comparisonMySQL  Xexclude from comparisonRDF4J infoformerly known as Sesame  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 simplicityWidely used open source RDBMSRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSTime Series DBMSRelational DBMS infoKey/Value like access via memcached APIRDF store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score84.22
Rank#14  Overall
#9  Relational DBMS
Score0.05
Rank#328  Overall
#27  Time Series DBMS
Score1266.28
Rank#2  Overall
#2  Relational DBMS
Score0.38
Rank#223  Overall
#10  RDF stores
Websitehive.apache.orgwww.irondb.iowww.mysql.comrdf4j.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.irondb.io/­docsdev.mysql.com/­docdocs.rdf4j.org
DeveloperApache Software Foundation infoinitially developed by FacebookCirconus LLC.Oracle infosince 2010, originally MySQL AB, then SunSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2012201719952004
Current release3.1.2, August 2019V0.10.20, January 20188.0.18, October 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoEclipse Distribution License (EDL), v1.0.
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.
Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
Implementation languageJavaC and C++C and C++Java
Server operating systemsAll OS with a Java VMLinuxFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-freeyesyes infoRDF Schemas
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.noyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (Circonus Analytics Query Language: CAQL)yes infowith proprietary extensionsno
APIs and other access methodsJDBC
ODBC
Thrift
HTTP APIADO.NET
JDBC
ODBC
Proprietary native API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes, in Luayes infoproprietary syntaxyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorconfigurable replication factor, datacenter awareMaster-master replication
Master-slave replication
none
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
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infonot for MyISAM storage engineACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and rolesnoUsers with fine-grained authorization concept infono user groups or rolesno
More information provided by the system vendor
HiveIRONdbMySQLRDF4J infoformerly known as Sesame
Specific characteristicsIRONdb is a highly available, distributed Time Series Database. It can support dozens...
» more
Competitive advantagesUnmatched Scalability IRONdb is unique among TSDBs in that it does not use a consensus...
» more
Typical application scenariosReal Systems Monitoring Monitor your systems infrastructure in real time across thousands...
» more
Key customersIRONdb serves the needs of the world's largest Time Series Database customers. One...
» more
Market metricsOnly TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
» more
Licensing and pricing modelsIRONdb is licensed under a subscription model based on the number of active metrics...
» more

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
General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
» more

Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
» more

SQLPro for MySQL: A simple but powerful MySQL database client available on iPhone and iPad as well as macOS.
» more

Dremio is like magic for MySQL accelerating your analytical queries up to 1,000x.
» more

Azure Database for MySQL provides fully managed, enterprise-ready community MySQL database as a service
» more

ScaleGrid: Fully managed MySQL-as-a-Service.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

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

More resources
HiveIRONdbMySQLRDF4J infoformerly known as Sesame
DB-Engines blog posts

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

show all

MariaDB strengthens its position in the open source RDBMS market
5 April 2018, Matthias Gelbmann

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

Microsoft SQL Server is the DBMS of the Year
4 January 2017, Matthias Gelbmann, Paul Andlinger

show all

Recent citations in the news

Orchestrate big data workflows with Apache Airflow, Genie, and Amazon EMR: Part 1
26 October 2019, idk.dev

Return of the Living Data
31 October 2019, Datanami

Databricks Bags Bricks of Cash in $400M Series F
23 October 2019, SDxCentral

Delta Lake Project Raises Linux Foundation Flag
17 October 2019, SDxCentral

Databricks introduces MLflow Model Registry, brings Delta Lake to Linux Foundation
16 October 2019, ZDNet

provided by Google News

Circonus Releases Machine Data Intelligence Solution
30 October 2019, Database Trends and Applications

Circonus launches machine data intelligence platform
29 October 2019, SDTimes.com

provided by Google News

Understanding Schema Optimization in MySQL
11 November 2019, Database Journal

Learn MySQL and Start Working With Data Like a Pro
16 October 2019, Entrepreneur

MongoDB vs. MySQL: How to choose
14 October 2019, InfoWorld

DBmaestro Brings Database Release Automation to MySQL, MariaDB, and Amazon RDS
30 October 2019, Database Trends and Applications

Using Five Types of JOIN in MySQL
21 October 2019, Database Journal

provided by Google News

Big data database Apache Rya becomes a Top Level Project
10 October 2019, JAXenter

Amazon Neptune review: A scalable graph database for OLTP
13 May 2019, InfoWorld

Ontotext GraphDB - Handling Massive Loads, Queries and Inferencing in Real Time.
10 July 2019, KMWorld Magazine

Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
13 June 2019, Yahoo Finance

Ontotext's GraphDB 8.9 Boosts Semantic Similarity Search
10 April 2019, PRNewswire

provided by Google News

Job opportunities

Commercial Banking - CCBSI Reporting & Analytics, Finance & Business Management - Associate
JP Morgan Chase, Plano, TX

Cloud Support Associate – Windows
Amazon Web Services, Inc., Herndon, VA

Manager
JPI, Washington, DC

Operations Analyst
Groupon, Inc., Chicago, IL

Data Analyst
CapTech Consulting, Philadelphia, PA

Database Administrator
Paylocity, Remote

Database Administrator
NextGen Healthcare, Horsham, PA

Database Administrator, Expert
Northwood Global Solutions, Herndon, VA

SQL Database Administrator Full Time | Bothell, WA
National Credit Services, Inc., Bothell, WA

Open Source Database Administrator
Q2ebanking, Austin, TX

jobs by Indeed




Share this page

Featured Products

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance


Datastax logo

Build data-driven applications that set the standard for performance, availability,
& scale with DataStax.
Learn more.

Present your product here