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 > MonetDB vs. Spark SQL vs. Trafodion

System Properties Comparison MonetDB vs. Spark SQL vs. Trafodion

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparison
DescriptionA relational database management system that stores data in columnsSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#123  Overall
#59  Relational DBMS
Score22.94
Rank#34  Overall
#20  Relational DBMS
Score0.50
Rank#235  Overall
#113  Relational DBMS
Websitewww.monetdb.orgspark.apache.org/­sqltrafodion.apache.org
Technical documentationwww.monetdb.org/­Documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org
DeveloperMonetDB BVApache Software FoundationApache Software Foundation, originally developed by HP
Initial release200420142014
Current releaseOct2020-SP2, January 20213.1.1, March 20212.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0Open Source infoApache 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 languageCScalaC++, Java
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
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.nono
Secondary indexesyesnoyes
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes, in SQL, C, RnoJava Stored Procedures
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
MonetDBSpark SQLTrafodion
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
MonetDBSpark SQLTrafodion
Recent citations in the news

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

Snowflake's co-founder Marcin Żukowski reflects on his time at CWI
18 November 2020, Centrum Wiskunde & Informatica (CWI)

Varada and Firebolt launch cloud analytics query platforms
9 December 2020, ZDNet

CWI research collaboration leads to 100 million euro investment in Amsterdam — CWI Amsterdam
6 November 2019, Centrum Wiskunde & Informatica (CWI)

Columnar Databases and Vectorization
27 May 2018, InfoQ.com

provided by Google News

Online workshop: Data Science with Python and Spark
21 September 2021, Market Research Telecast

Here is Everything You Need to Know About Big Data Tester
12 October 2021, Analytics Insight

Best Data Warehouse Tools for Managing Your Data | ESF
24 September 2021, Enterprise Storage Forum

Analytics Chip Startup Speedata Emerges from Stealth
30 September 2021, Datanami

Top Data Engineering Bootcamps to Attend in 2021
10 October 2021, Analytics Insight

provided by Google News

The Apache® Software Foundation Announces Annual Report for
31 August 2021, GlobeNewswire

SD Times news digest: Code Dx and Secure Code Warrior on Project Better Code, Octopai's Data Lineage XD, and new Microsoft Teams features
17 May 2021, SDTimes.com

How Facebook Accelerates SQL at Extreme Scale
31 August 2020, Datanami

ASF's 2018 annual report shows the Apache ecosystem is growing
20 July 2018, JAXenter

What's the Difference Between SQL, NoSQL, and NewSQL?
28 July 2016, Electronic Design

provided by Google News

Job opportunities

Python/Spark/SQL Data Egnineer
Zettalogix, Iselin, NJ

Data Analyst
LT Technology Services, Spring, TX

Data Engineer
Infipact, Remote

Python & SQL Data Engineer - Remote
Tier2Tek, Remote

Data Engineer
Ryzen Solutions, Austin, TX

jobs by Indeed



Share this page

Featured Products

Vertica logo

The fastest unified analytical warehouse at extreme scale with in-database machine learning. Try Vertica for free with no time limit.

Neo4j logo

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

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 5 GB free..

Couchbase logo

The modern database for enterprise applications. Build fast. Scale Big. Save more.
Get started today.

Present your product here