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.

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Apify is great when I need to collect data from public websites and get the export in a structured format, such as product catalogs, contacts, and location details, and if that data must be exported on a regular basis, the same actor can be reused again and again. However, when I need just a one-off task or information, Apify is less useful, as writing a script directly is much faster and cheaper. The platform is also less useful, when the website or provider where I need data in a structure format, has already some sort of an API or MCP connection available, then it makes sense just using the API I need, rather then a web scraper.

• 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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• They feature a massive actor library, so you don't have to build everything from scratch or maintain it.
• Scheduling + web hooks makes automating data collection super easy.
• Easy to scale from small tests to much bigger scraping jobs and fairly cheap to scale.

• 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.

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• I think monetization part needs some improvement. Sometimes it stops working.
• Second issue is that when you run actor locally on your device using Apify run command, it runs fine and does not show errors. However, when you run on Apify platform, it starts showing error that this python based library is not supported etc. I think, error logging needs to be improved.
• Issue support is very slow. If you create an issue it takes a lot of time that somebody reply.
• Automated testing also needs to be improved. Testers run simple tests and if extra keys are used or something else, test is failed.

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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.

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It's the best because you can just load in a limited amount of money and limit your financial exposure to using a tool like this. so renewing isn't a big consideration... i know that i'm going to need the tool in the future and i'll load it with money accordingly when im ready.

Extremely easy when connected via MCP with Claude Co-Work. I do not really understand the Apify website itself. It's a bit confusing, but when I use Claude as an operator and translator, it is absolutely a game-changer. Whenever I have an issue, I ask Claude to connect to Apify and ask what the best way for me to do things is. Should I use the Google Maps scraper in this area or this area? Which one has the highest chance of giving me the best results that I need? Claude's code can completely simplify the whole process, which makes the whole thing a lot easier for me to make faster and better decisions. I do not know what I would do now without Apify. My business cannot even be a business without it.

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We never needed to contact support directly because the platform was always clear and easy to use. The documentation is thorough, there are plenty of how-to guides, and YouTube.

1. Strategy for Anti-Blocking & Proxies 2. Cost Optimization (Compute Units) 3. Data Management & Storage

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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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I use Oxylabs and ScraperAPI as paid backup tools; I also have backup parsers on my own VPS, set up to run on a timer. They solve the problem of retrieving data but do not help to present it as a product or find a buyer. I chose Apify because it turns a parser into something you can sell, and the proxies come as part of the infrastructure. Running your own infrastructure is cheaper—until you factor in the hours spent maintaining it.

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• 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

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• Apify has delivered great ROI from the sheer time saved by not having to do even short-ish tasks manually.
• By saving us from repetitive data entry, we can focus on much bigger things while Apify runs in the background.
• The risk-free actor pricing structure lets us test and deploy new automated pipelines with zero upfront commitment.