Anaconda vs Datawatch Monarch

Anaconda

Anaconda is great for academic and private organizations that cannot afford more expensive Python/R package managers. Also, it is more appropriate for intermediate to advanced Python users--Anaconda can be somewhat frustrating for beginners, as it takes some practice to get comfortable with the workflow. I find it particularly useful for working in teams, because if everyone uses the same package manager, it is easier to troubleshoot issues and makes for reproducible research. For wealthier organizations, a premium package management system (with tech support) would be ideal. Anaconda is also great for people working independently on code development.

Read full review

Maike Holthuijzen

Ph.D student

University of VermontHigher Education, 5001-10,000 employees

View all 11 answers on this topic

Datawatch Monarch

The product is especially useful when you have real-time and/or time series data to analyze. If you have more mundane, simpler requirements, other products might do the job you need for less money (there are even some decent open source visualization tools you can find.) I know the product is very widely used in capital markets applications to monitor and analyze risk and price and volume changes; if you're working in that area, I don't think there's a better tool to use.

Read full review

Verified User

Executive in Marketing

Computer Software Company, 51-200 employees

View all 6 answers on this topic

Pros

Anaconda has iPython- Notebook that facilitates code writing in Python
It's very easy to install tour preferred the Python version
The risk of messing up the libraries is completely eliminated

Read full review

Mauricio Quiroga-Pascal Ortega

Senior Cognitive Solutions Consultant

Cognitiva IBM Watson Strategic PartnerComputer Software, 51-200 employees

View all 11 answers on this topic

It allows us to quickly dump large non-ALV SAP reports into Excel. Exporting these reports prior to Modeler was cumbersome at best.
Customizable models allow us to easily gather required data from the same report running different dates. This is perfect for month-end reports.
Quick exports.

Read full review

David O'Reilly

Business Operations Manager

Varian Medical SystemsMedical Devices, 5001-10,000 employees

View all 6 answers on this topic

Cons

It's hard to get security updates when you leave the system packages
There're some PyPI packages that Anaconda doesn't have. This obligates the user to package it by herself or using pip
Anaconda isn't as fast as PyPI publications

Read full review

Mauricio Quiroga-Pascal Ortega

Senior Cognitive Solutions Consultant

Cognitiva IBM Watson Strategic PartnerComputer Software, 51-200 employees

View all 11 answers on this topic

Graphical interface

Read full review

Javier Icaza

Remote Services Engineer

Optimal Networks, Inc.Government Relations, 11-50 employees

View all 6 answers on this topic

Likelihood to Renew

No score

No answers yet

No answers on this topic

Ask the community to sound off

Datawatch Monarch7.2

Based on 6 answers

It was useful but expensive.

Read full review

Javier Icaza

Remote Services Engineer

Optimal Networks, Inc.Government Relations, 11-50 employees

View all 6 answers on this topic

Breadth of Deployment

No answers on this topic

Ask the community to sound off

Most of our users don't know they are using it, because it is embedded in CMOD.

Read full review

Frank Pappalardo

Senior Deployment Analyst

US FoodsFood & Beverages, 10,001+ employees

View all 6 answers on this topic

Alternatives Considered

SURA SREENIVASULU

Head - Service Sales

Thermo Fisher ScientificResearch, 10,001+ employees

View all 11 answers on this topic

Datawatch is very good value of money compared to QlikView; QlikView is really more of a BI tool and has a lot of functions that I didn't need. Datawatch is very strong in the real-time area where Tableau, Panorama, and Qlik don't do very well. If you need to set up a visual monitoring dashboard, Datawatch is the best product I've seen for that. if you want to do a lot of in depth statistical analysis of large databases, Tableau is probably a good option.

Read full review

Verified User

Executive in Marketing

Computer Software Company, 51-200 employees

View all 6 answers on this topic

No score

No answers yet

No answers on this topic

Ask the community to sound off

Datawatch Monarch7.0

Based on 1 answer

Sharing of Monarch/Modeler models is fairly easy, provided the users are not far apart in versions.