Anaconda vs Datawatch Monarch

Likelihood to Recommend

Anaconda is the best solution when you need to make more basic algorithm training. However, when the client necessity if completely new or there're poor libraries, anaconda is too basic.When designing algorithms, I find ai-one to be very useful. Other tools that more suitable than Anaconda for more complex tasks are protege, biffblue and Nervana Neon

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Mauricio Quiroga-Pascal Ortega

Senior Cognitive Solutions Consultant

Cognitiva IBM Watson Strategic PartnerComputer Software, 51-200 employees

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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.

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Verified User

Executive in Marketing

Computer Software Company, 51-200 employees

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Feature Rating Comparison

Anaconda

7.0

Datawatch Monarch

—

Connect to Multiple Data Sources

10.0

—

Extend Existing Data Sources

8.0

—

Automatic Data Format Detection

3.0

—

Anaconda

7.5

Datawatch Monarch

—

Visualization

8.0

—

Interactive Data Analysis

7.0

—

Anaconda

7.5

Datawatch Monarch

—

Interactive Data Cleaning and Enrichment

8.0

—

Data Transformations

9.0

—

Data Encryption

6.0

—

Built-in Processors

7.0

—

Anaconda

8.1

Datawatch Monarch

—

Multiple Model Development Languages and Tools

10.0

—

Automated Machine Learning

6.5

—

Single platform for multiple model development

8.5

—

Self-Service Model Delivery

7.5

—

Anaconda

6.5

Datawatch Monarch

—

Flexible Model Publishing Options

7.0

—

Security, Governance, and Cost Controls

6.0

—

Pros

Clear install story. There are a lot of ways to install python. There's only one way to install anaconda. This makes teaching and standardizing much easier.
Batteries included. It's easy to install things in python, but anaconda ships with most of what you need out of the box. This helps with standardization and reproducibility.
Good integrations with Jupyter and other visual tools. Jupyter is really convenient when learning various python packages. Anaconda makes these tools easy to launch and to use.

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Matthew Deakyne

Academic Services Manager

The University of KansasHigher Education, 10,001+ employees

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Creating a basic model to extract data from a report is very easy.
Advanced features like Calculated Fields and External Lookups allow you to augment the raw data.
You can create a "project" to automate the data extraction. Combined with Datapump (a separate DW app), you can fully automate the process once the raw report is generated.

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Frank Pappalardo

Senior Deployment Analyst

US FoodsFood & Beverages, 10,001+ employees

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Cons

Although some other users mentioned the installation is "simple", we did encounter some challenge in a highly controlled environment (due to security reasons).
Jupyter Notebook is extremely slow when the client/server side of the network's speed/bandwidth is not balanced.
Bootstrapping Anaconda takes too long, sometimes I even started doubting it would respond any more.
If there are extra python packages you need but are not by default installed by Anaconda, then some efforts will be required to figure out how to put them in the right place.

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Verified User

Strategist in Information Technology

Package/Freight Delivery Company, 10,001+ employees

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Graphical interface

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Javier Icaza

Remote Services Engineer

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

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Likelihood to Renew

Anaconda 7.0

Based on 1 answer

It's really good at data processing, but needs to grow more in publishing in a way that a non-programmer can interact with. It also introduces confusion for programmers that are familiar with normal Python processes which are slightly different in Anaconda such as virtualenvs.

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Matthew Deakyne

Academic Services Manager

The University of KansasHigher Education, 10,001+ employees

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Datawatch Monarch 7.2

Based on 6 answers

It was useful but expensive.

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Javier Icaza

Remote Services Engineer

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

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Usability

Anaconda 8.0

Based on 1 answer

It's really good at installing and getting started. It's less usable and configurable after that. If you stay in the ecosystem, and don't know how to Python any other way - it works really well.

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Matthew Deakyne

Academic Services Manager

The University of KansasHigher Education, 10,001+ employees

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No score

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Alternatives Considered

I prefer Anaconda due to the control I have at every level over the data and the visualizations. Power BI does a better job at guessing what graphics to use, but these usually aren't the most helpful. Anaconda and the slew of Python extensions that add incredible functionality, make it much more powerful without such a steep learning curve as Power BI.

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Matthew Deakyne

Academic Services Manager

The University of KansasHigher Education, 10,001+ employees

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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.

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Verified User

Executive in Marketing

Computer Software Company, 51-200 employees

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Return on Investment

Centralized repository for all notebooks and analysis projects.
Solved for some security concerns from IT.
Saves money by avoiding ad-hoc computer resources for analysts.

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Verified User

Analyst in Marketing

Marketing and Advertising Company, 501-1000 employees

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Quicker reporting
Improved efficiency
Improved morale

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David O'Reilly

Business Operations Manager

Varian Medical SystemsMedical Devices, 5001-10,000 employees

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Likelihood to Recommend

Anaconda

Datawatch Monarch

Feature Rating Comparison

Connect to Multiple Data Sources

Extend Existing Data Sources

Automatic Data Format Detection

Visualization

Interactive Data Analysis

Interactive Data Cleaning and Enrichment

Data Transformations

Data Encryption

Built-in Processors

Multiple Model Development Languages and Tools

Automated Machine Learning

Single platform for multiple model development

Self-Service Model Delivery

Flexible Model Publishing Options

Security, Governance, and Cost Controls

Pros

Anaconda

Datawatch Monarch

Cons

Anaconda

Datawatch Monarch

Likelihood to Renew

Anaconda

Datawatch Monarch

Usability

Anaconda

Datawatch Monarch

Alternatives Considered

Anaconda

Datawatch Monarch

Return on Investment

Anaconda

Datawatch Monarch

Screenshots

Anaconda

Datawatch Monarch

Pricing Details

General

Free Trial

Free/Freemium Version

Premium Consulting/Integration Services

Entry-level set up fee?

Additional Pricing Details

General

Free Trial

Free/Freemium Version

Premium Consulting/Integration Services

Entry-level set up fee?

Additional Pricing Details

Rating Summary

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