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Altair Monarch

Altair Monarch
Formerly Datawatch Monarch

Overview

What is Altair Monarch?

Altair Monarch (formerly Datawatch Monarch, acquired by Altair in December, 2018) works with both relational and multi-structured data including support for a wide range of formats including PDF, XML, HTML, text, spool and ASCII files. The product can access data…

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Pricing

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What is Altair Monarch?

Altair Monarch (formerly Datawatch Monarch, acquired by Altair in December, 2018) works with both relational and multi-structured data including support for a wide range of formats including PDF, XML, HTML, text, spool and ASCII files. The product can access data from invoices, sales reports,…

Entry-level set up fee?

  • Setup fee optional

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Demos

Altair Feko Monarch Demo

YouTube

Demo: Monarch Burster Nodes Automatically Unbundle Reports and Flag Errors

YouTube
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Product Details

What is Altair Monarch?

Altair Monarch (formerly Datawatch Monarch, acquired by Altair in December, 2018) works with both relational and multi-structured data including support for a wide range of formats including PDF, XML, HTML, text, spool and ASCII files. The product can access data from invoices, sales reports, balance sheets, customer lists, inventory, logs and more.

According to the vendor, the system is easy to use, allowing users to quickly select any data source and automatically convert it into structured data for analysis. Monarch provides data masking to remove or obscure confidential data such as customer information, medical records and employee IDs with redaction capabilities. This feature allows users to distribute reports to partners and customers, even in heavily regulated industries such as healthcare and financial services, without compromising customer and employee privacy.

Prepared data can be saved in a variety of native BI formats so users can visualize results not just in popular BI tools such as Tableau, Qlik and Excel. Users can also share and reuse data preparation processes with other Monarch users.

Altair Monarch Features

  • Supported: Access all data including multi-structured
  • Supported: Advanced data masking
  • Supported: Visualize in any analytic tool - Tableau, Qlik, Excel

Altair Monarch Screenshots

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Altair Monarch Competitors

Altair Monarch Technical Details

Deployment TypesOn-premise
Operating SystemsWindows, Linux
Mobile ApplicationApple iOS, Android, Windows Phone

Frequently Asked Questions

Alteryx Platform and Paxata are common alternatives for Altair Monarch.

Reviewers rate Data Visualization highest, with a score of 7.3.

The most common users of Altair Monarch are from Enterprises (1,001+ employees).
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Comparisons

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Reviews From Top Reviewers

(1-3 of 3)

Datawatch - Great Product, New (ouch) Pricing!

Rating: 9 out of 10
July 02, 2014
KS
Vetted Review
Verified User
Altair Monarch
8 years of experience
Datawatch Monarch text editing software is utilized by hundreds of users across our organization. It is the best text editing solution for downloaded mainframe reports, and allows end users to quickly render their own data. The Monarch software is intuitive, flexible, and easy to use. Datawatch Data Pump solution was implemented over 8 years ago by our regional IT department as a logical extension of how we use Monarch. Data Pump is used to schedule and output hundreds of processes and reports we have created over the years to support departments across our supply chain, and links extremely well to data we maintain in SQL.
  • Monarch is very flexible, easy to use, and intuitive. It links well with other data sources, and has a wide array of calcs available for power users.
  • Data Pump is a logical conclusion for those who are familiar with Monarch xprj's. Once a project's model, data source, and data destination are established, it makes sense to want to automatically schedule it. Data Pump makes it easy to group, organize, schedule, track and trouble-shoot multiple projects in one place.
Cons
  • Recently, we had some major sticker-shock when we wanted to upgrade Data Pump. It is an exceptional product, but when the price jumped from $6,000 to over $60,000, it was impossible to get the funds approved internally for the upgrade.
  • We also paid for yearly maintenance contracts which included Professional Services, but rarely found those services beneficial. However, we did receive all software upgrades for Datapump as part of the contract which we found to be very beneficial. However, with the new pricing, that is not longer the case.
If an organization's primary source of data is available in a report format, Monarch is an excellent solution. It works extremely well for parsing out data from downloaded text files, and can even be used to parse data out of scanned pdf documents. For power users, it works very well with databases and SQL. For soft users who just want to glean data out of a downloaded report, it's very easy to see how it works. For anyone who has ever tried to use Excel to open and parse a text file, Monarch is sure to provide lasting relief!

Should you find Monarch beneficial, the next logical step towards creating a great BI environment is Data Pump.
  • Data Pump reduces complexity of report solutions by offering a standardized approach for organizing and scheduling
  • 97% service level for past 5 years for all of our jobs going through Data Pump
Datawatch Monarch has been the standard text editing solution for Supervalu for over 10 years. Because it works so well and was already a well-known fixture in our organization, the benefits of Data Pump were immediately recognized. We did not look for other software solutions, as it was a natural progression of an existing solution.
Datawatch recently repositioned Data Pump and essentially priced us out of the market. The initial investment was very inexpensive, but the yearly maintenance contract was viewed as being a little pricey. The only value of the contract was that it included software upgrades. The Professional Services portion of the contract that was meant to provide support was not viewed as being very effective or beneficial.

Datawatch Monarch/Modeler and RMS: Very effective for data mining from legacy reports.

Rating: 7 out of 10
September 12, 2014
FP
Vetted Review
Verified User
Altair Monarch
7 years of experience
Some end users and data analysts in our organization use Datawatch Monarch to extract data from mainframe reports. We also have Datawatch Monarch RMS running on our IBM Content Manager On Demand (CMOD) report distribution platform, which allows users to extract their data without running Monarch themselves.
  • 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.
Cons
  • Moving fields around in a model can be very cumbersome because you can't overlay them.
  • Moving models between different versions of Monarch can be a pain.
  • I'd love to see a utility that would combine the field lists from a collection of models. This would help us standardize our field definitions.
* Individual seat licenses are very expensive, which is one reason we are moving to CMOD/RMS. But RMS has less functionality than standalone Monarch (now known as "Modeler"). I would like to know what improvements we can expect in RMS, I would also ask, what is the future of the standalone version?
* In the past there has been a dearth of user discussion and support in the online community, although this seems to be improving with the new "Datawatch Commmunity" (http://community.datawatch.com).
  • None
We are generally very pleased with the product, and it is pretty well entrenched in our organization. No major changes in reporting delivery are in the works.

Best tool for monitoring real-time data and analyzing time series data

Rating: 8 out of 10
November 04, 2014
Vetted Review
Verified User
Altair Monarch
6 years of experience
Used Datawatch Desktop to analyze marketing data in the sales and marketing departments. For example, we used data from our website, including number and frequency of visits, forms completed, time spent on site, and other factors and visually correlated that information with sales opportunities in the CRM. The visualizations made it obvious when a prospect's behavior on the website did not match the likelihood-to-close percentage provided by the salesperson. When there is a discrepancy, the sales manager can intervene and help the salesperson better qualify the lead.
  • Ability to access and visualize real-time streams of data coming in from message buses, real-time Excel, or CEP engines
  • Ability to visualize true time series data stored in column-oriented, in-memory databases
  • Ability to support SAP HANA databases
Cons
  • Setting up visualizations with time series data requires a good understanding of how the software works. I would like it to be more intuitive. Having said that, time series data is inherently complicated and I don't see any obvious ways to make it simpler. But I'm not a software designer myself; they could put more resources into the user experience.
  • Their video training is really helpful and they have a big library of videos, but the videos get out of date as they come out with new versions. I can imagine that it's difficult to keep all the videos updated, but it would be great if the videos were always using the latest major version of the product.
  • They need more visualizations. They have a pretty big collection now but it seems like there is often some other way to present and visually analyze data that would be a better/tighter fit with requirements than the visualizations available in the standard product. I understand it is possible to add more visualizations - custom visualizations - but that's beyond my expertise.
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.
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.
Experience with the product makes it easier to stick with it and I'm seeing a lot of very positive stuff coming up in the newer versions. The support team has been extremely helpful when I've needed it and the people there are really interested in doing good work and they're really into visualization, which I appreciate.
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