DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > GeoMesa vs. Hive vs. MonetDB

System Properties Comparison GeoMesa vs. Hive vs. MonetDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHive  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.data warehouse software for querying and managing large distributed datasets, built on HadoopA relational database management system that stores data in columns
Primary database modelSpatial DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#199  Overall
#3  Spatial DBMS
Score81.61
Rank#17  Overall
#11  Relational DBMS
Score1.81
Rank#131  Overall
#64  Relational DBMS
Websitewww.geomesa.orghive.apache.orgwww.monetdb.org
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homewww.monetdb.org/­Documentation
DeveloperCCRi and othersApache Software Foundation infoinitially developed by FacebookMonetDB BV
Initial release201420122004
Current release3.2.0, April 20213.1.2, August 2019Jul2021-SP2, July 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2Open Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJavaC
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infoSQL 2003 with some extensions
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC++
Java
PHP
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes, in SQL, C, R
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerselectable replication factornone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layer
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users, groups and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
GeoMesaHiveMonetDB
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» 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 partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

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

More resources
GeoMesaHiveMonetDB
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

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

show all

Recent citations in the news

16 top data catalog software tools to consider using in 2022
16 May 2022, TechTarget

What is a data lake? Massively scalable storage for big data analytics
29 April 2022, InfoWorld

Top online courses to learn Apache Spark
5 May 2022, Analytics India Magazine

Starburst boosts data lake connections and fault tolerance
4 May 2022, TechTarget

New Incident Report Reveals How Hive Ransomware Targets Organizations
21 April 2022, The Hacker News

provided by Google News

MonetDB Secures Investment From (and Partners With) ServiceNow
9 December 2021, Datanami

MonetDB Solutions secures investment from ServiceNow — CWI Amsterdam
1 October 2019, Centrum Wiskunde & Informatica (CWI)

Tracing Stars with MonetDB in the Cloud
10 August 2015, Centrum Wiskunde & Informatica (CWI)

Database consulting company MonetDB Solutions newest spin-off CWI
21 November 2013, Centrum Wiskunde & Informatica (CWI)

provided by Google News

Job opportunities

Big Data Developer
Cognizant, Cary, NC

Pyspark Developer
Cognizant, Hartford, CT

Hadoop Developer
Cognizant, Hartford, CT

Associate Data Lake Consultant
Amazon Web Services, Inc., Remote

Associate Data Lake Consultant
Amazon Web Services, Inc., New York, NY

Sisense Admin / Data Engineer
CentralReach, United States

Sr Software Engineer – Full Stack Developer - 18840-1
Infinite Computing Systems, Tulsa, OK

jobs by Indeed



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Vertica logo

Vertica Accelerator. The fastest analytics and machine learning, delivered as SaaS, with automated setup, administration, and management. Free trial.

The definitive guide for Cassandra

Imagine What You Could Do if Scalability Wasn‘t a Problem!
Download the Cassandra e-book for free!

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Redis logo

The world’s most loved real‑time data platform.
Try free

Present your product here