Altair Monarch vs. Apify

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.

Incentivized

It is common practice for developers to search for REST endpoints on other websites in order to retrieve data from other websites in a structured format such as JSON. However, not all websites have built distinct REST APIs; in this situation, Apify is quite beneficial. The majority of the time, the data that an organization collects is what is considered to be of the utmost importance. In comparison to the other systems that are currently accessible, Apify makes it simple to supply clean data.

Incentivized

• 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.

Incentivized

• Fast response time, easy to talk to on human and technical level.
• Scalable solution capable of adding additional feature requirements.
• Well documented API, we are able to do some changes by ourselves.

• 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.

Incentivized

• Managing a big number of people and tasks.
• Larger scale monitoring system.
• Allow users to search and replace datasets by enhancing APIs.

Incentivized

Even though we do not utilize it on a daily basis, I do hope my current company renews it's license. If not, I intend to purchase myself.

Incentivized

I was very happy with the support I received from Apify. They are always ready to answer all your questions and help solve problems you have.

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.

Incentivized

Although the purposes and aims of all three products vary widely, I have found Apify to be the most effective option for web scraping for academic purposes. As someone with only a few months' worths of experience with web scraping, I have found Apify's detailed blog posts and very friendly customer support invaluable in my research.

• 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

Incentivized

• Data gathering process is fully automized with high relevance output.
• Data are up-to-date with minimum delay.
• We use extra time for better decision making process instead of report preparation.