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

DBMS > Hive vs. MariaDB

System Properties Comparison Hive vs. MariaDB

Please select another system to include it in the comparison.

Our visitors often compare Hive and MariaDB with MongoDB, Cassandra and PostgreSQL.

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonMariaDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopMySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. With MariaDB ColumnStore a column-oriented storage engine is available too.
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith OQGraph storage engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score73.00
Rank#15  Overall
#10  Relational DBMS
Score84.31
Rank#12  Overall
#8  Relational DBMS
Websitehive.apache.orgmariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homemariadb.com/­kb/­en/­library
DeveloperApache Software Foundation infoinitially developed by FacebookMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Initial release20122009
Current release2.3.0, July 201710.3.13, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPL version 2, commercial enterprise subscription available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Azure Database for MariaDB: A fully managed, scalable MariaDB relational database with high availability and security built in at no extra cost
Implementation languageJavaC and C++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Data schemeyesyes infoDynamic columns are supported
Typing infopredefined data types such as float or dateyesyes
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.yes
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
Thrift
Proprietary native API
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoPL/SQL compatibility added with version 10.3
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingHorizontal partitioning, sharding with Spider storage engine or Galera cluster infoPartitioning by range, list, hash, key
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMaster-master replication infousing MariaDB Galera Cluster
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infonot for in-memory storage engine
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infowith MEMORY storage engine
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
HiveMariaDB
Specific characteristicsOpen source database from the creators of MySQL, enhanced with enterprise tools and...
» more
Competitive advantagesHigh availability, scalability, performance beyond MySQL and other databases.
» more
Typical application scenariosWeb, SaaS and Cloud operational/transactional applications that require high availability,...
» more
Key customersBooking.com, Wikipedia, Google, Canal+, ClubMed, Deutsche Telekom, La Poste, Virgin...
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» 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
Navicat for MariaDB provides a native environment for MariaDB database management and development.
» more

Azure Database for MariaDB: Easily deploy applications to the cloud.
» more

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

More resources
HiveMariaDB
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

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Big gains for Relational Database Management Systems in DB-Engines Ranking
2 February 2016, Matthias Gelbmann

show all

Recent citations in the news

What Makes Apache Spark Sizzle? Experts Sound Off
11 March 2019, Datanami

Can On-Prem S3 Compete with HDFS for Analytic Workloads?
27 February 2019, Datanami

Case Study: Multinational Retail Chain Migrates To Hadoop
7 March 2019, RTInsights

A brief guide on Hadoop Data Scientist's – Things you need to know
13 March 2019, TechiExpert.com

Presto Backers Bolster Its Open Source Origins
31 January 2019, Datanami

provided by Google News

MariaDB Announces New Enterprise Server
27 February 2019, AiThority

Walgreens turns to MariaDB as part of open source push
19 March 2019, Networks Asia

MariaDB CEO on the open source enterprise – we can bridge the gap between bare metal and microservices
6 March 2019, Diginomica

MariaDB announces new enterprise server version
27 February 2019, iTWire

What is MariaDB Platform X3?
28 February 2019, ComputerworldUK

provided by Google News

Job opportunities

Big Data Java developer, AVP
Citi, Jersey City, NJ

Java/Big Data Developer
Booz Allen Hamilton, Chantilly, VA

Big Data Developer
UpStream Global Services, Chicago, IL

Software Engineer, Big Data
DrugDev, Township of Warren, NJ

Software Engineer, Big Data
IQVIA, Township of Warren, NJ

Software Engineer
Quotient Technology Inc., Mountain View, CA

Director Of Marketing Communications
Percona, Remote

Senior System Administrator
Shimshock Group, United States

Database QA Engineer (Remote, Worldwide)
Percona, Remote

Director Of Marketing Operations
Percona, Remote

jobs by Indeed




Share this page

Featured Products

Redis logo

Start now with Redis Cloud
Secure, highly available Redis as a serverless, hosted, fully managed cloud service.
Sign up here.

Couchbase logo

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

Neo4j logo

New to the world of graph databases? Become an expert today with your copy of the Graph Databases for Beginners ebook.

RavenDB logo

Runs on Windows, Linux, Raspberry Pi. Easy to Operate, Fast Performance.
APIs for JS, .NET, Python.
Take a Free Download

Present your product here