Name: MonetDB
Rating: 7 (2 reviews)
Author: MonetDB

Help Desk

Web and Video Conferencing

Customer Support

Business Intelligence (BI)

Collaboration

Data Discovery and Visualization

Document Management

Enhanced 911 (E911)

File Sharing

Risk Management

Statistical Analysis

Enterprise

Accounting

Invoicing

Subscription Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Diversity, Equity, and Inclusion (DEI)

HR Management

Payroll

Recruitment Agency

Recruitment Automation

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Cloud Storage

Data Lakehouse

Data Mapping

Firewall Security Management

Fraud Detection

IP Address Management (IPAM)

In-Memory Databases

Incident Response

Infrastructure-as-Code (IaC)

Integration Platform as a Service (iPaaS)

Log Management

Managed IT Service

Network Performance Monitoring

Password Management System

Release Management

SOA Application Gateways

Web Portal

WiFi Hotspot

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Appointment Scheduling

Audio Editing

Content Management

Customer Reference Management

Email Marketing

Email Testing

Marketing Automation

Product Sampling

Retail Media Advertising

Social Media Management

Social Media Marketing

Survey & Forms Building

Web Analytics

Marketing

Field Service Management

Project Management

Professional Services

Customer Relationship Management (CRM)

Lead Generation Services

Lead-to-Account Matching and Routing

Multichannel Retail

Sales Coaching

Sales Gamification

Social Commerce

Sales

Architecture

InsurTech

Laboratory Information Management

Legal Billing

OSS/BSS (Operations Support/Business Support)

Oil and Gas

Real Estate

Vertical-Specific

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MonetDB is an open source column-oriented relational database management system issued and supported by the Dutch MonetDB development team.

SAP HANA is an application that uses in-memory database technology to process very large amounts of real-time data from relational databases, both SAP and non-SAP, in a very short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk which means that the data can be accessed in real time by the applications using HANA. The product is sold both as an appliance and as a cloud-based software solution.

SAP HANA Cloud

Amazon Relational Database Service (Amazon RDS) is a database-as-a-service (DBaaS) from Amazon Web Services.

Amazon RDS for MySQL

Amazon RDS for PostgreSQL

Amazon RDS for MariaDB

Amazon RDS for Oracle

Amazon RDS for SQL Server

Amazon Relational Database Service (RDS)

MonetDB

A relational database is a database structured to recognize relations among stored items of information.

Relational Databases

MonetDB/DataCell demo

Image Processing Using MonetDB/SciQL

MonetDB BAMloader demo

Likelihood to Recommend

MonetDB Solutions is a technical consulting company, specialising in database technologies for Business Intelligence, Business Analytics and Big Data. The company is established in 2013 by the founders of the world’s most mature and widespread open-source column-store database management system MonetDB.
MonetDB Solutions combines world-leading researchers and engineers to support its international customers and user base with (online) technical consultancy, documentation, education, turn-key enhancements, performance analysis and packaged solutions addressing vertical markets.

Features for Relational Databases focus on data security, quality, and consistency.

ACID compliance

The database complies with ACID (atomicity, consistency, isolation, durability), ensuring transactions are processed reliably.

Database monitoring

Teams can monitor database usage and performance metrics.

Database locking

Locking mechanisms prevent users from accessing data while it is being updated.

Encryption

Data is encrypted in-motion and at rest, preventing unauthorized access and security breaches.

Disaster recovery

Data can be recovered in the event of a disaster.

Flexible deployment

The database can be deployed in a variety of environments and operating systems.

Multiple datatypes

The database can store a variety of different datatypes.

RingEX

Five9

RingCentral Meetings

Central Station Operations Manager

MonetDB 2021-05-26 13:48:08

Apache Hadoop

Apache Hive

Amazon Redshift

Fabric Answers a discontinued Crashlytics product

Solution Architect

MonetDB 2016-01-29 07:07:14

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

TrustRadius

Use cases

Slow at times

Enter information

Open source

Take forever

Source software

Open source software

Lack of documentation

Easy to use

Lots of data

Able to change

Simple and complex

Enterprise level

Bulk data

Quite fast

Home

It is currently being used in Customer Service and Central Monitoring Station. We currently use it for our scheduling and Forecasting needs, as well as publishing and editing time. I use it about sixty to seventy hours a week personally and have 10 supervisors who use it on a daily basis as well.

It is easy to use.
You are able to input lots of data and it understands and populates information.
Able to change settings on the fly to use with your needs.

We use it so much, it can be slow at times to refresh.
It is very particular with the way you enter information, if not entered exactly correct, it won't schedule.
Reports sometimes take forever to populate.

Employee information.
Scheduling.
Forecasting.

Reduced cost, compared to other platforms.
Makes scheduling much easier.
Increased Efficiency on future reporting.

MonetDB is used for storing relational or star schema based data in our organization. For the engineering team, it has been a high performance data warehouse option for loading data from Hadoop or Postgres and then running ad-hoc queries to validate results. We have also used it to generate summary reports for our executives and as a backend database to support REST API calls. Being a columnar based database, it returns results in sub-second range and therefore, we tend to run one-off queries involving relational joins of big tables. If you want to experiment with a columnar database or compare with other similar tools such as Redshift, this would be a perfect open source database to do so. In fact, being open source you can download and view the source code anytime.

It performs very well with both a simple and complex query with multiple join operations.
It offers more advanced, enterprise level features such as clustering, data partitioning, and distributed query processing.
Loading bulk data is quite fast by taking advantage of multiple cores/CPUs.

This is an open source software so there are obvious drawbacks, the biggest of which is a lack of documentation.
MonetDB does not seem to be well known outside of the academic environment so there is less information when you are searching for answers of any type.
I'd like to see more use cases and/or best practices so that commercial companies like ours can optimally use all of its highly performant features.
The code is written in C/C++ and this can be negative if you are a mainly java-shop and need UDF - User Defined Function.

If you are familiar with a general database concept and played with open source products before then MonetDB will give you immediate return in terms of productivity since developers can quickly develop and verify their test cases involving back-end database with a large sample data set.
There is a stiff learning curve due to lack of documentation and sparse information available on the internet.
Overall experience has been positive since MonetDB gives you another option when it comes to building out a data warehouse.

MonetDB

Overview

What is MonetDB?