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IBM Datacap vs Jiffy.ai Automate comparison

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Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Automate
Sponsored
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
26
Ranking in other categories
Robotic Process Automation (RPA) (5th)
IBM Datacap
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
27
Ranking in other categories
Intelligent Document Processing (IDP) (7th)
Jiffy.ai Automate
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
8
Ranking in other categories
Robotic Process Automation (RPA) (22nd)
 

Featured Reviews

Anabel Marco - PeerSpot reviewer
Automates processes efficiently with cost-effective scaling and robust customer support
Web scraping is quite good since it offers a lot of possibilities. Another important feature for me is its compatibility with MBI, the Power that is ISEQUADO Centers. I appreciate the ability to scale and increase the number of bots or studios without additional expense. Automate's non-reliance on additional orchestrators makes it quite cost-effective.
DeekshithShetty - PeerSpot reviewer
High-accuracy document processing with easy integration and good image enhancement
The OCR extractions are very good, almost 100% accurate now. The integration with other tools is very easy, with inbuilt actions to configure and directly export to multiple depositories. It is also good at image enhancement, including the removal of lines, which is helpful in processing and automation and ensures very little user intervention, thus saving time.
HA
You don't have to code; it is just drag and drop
They are still new in the market. Or, at least, they are still a small player. They require a lot of improvement in terms of learning material as well as the community developers. If you compare Jiffy.ai to an established solution, like UiPath, you can go to YouTube and find a lot of learning material posted by UiPath, partners, and other people in the community. However, for Jiffy.ai, you won't find that available in the market. Because of this it is very hard for us to find talent in the market. Most of the developers in the market are used to the bigger players. For Jiffy.ai, if you search a resume because you are trying to find someone who has used Jiffy.ai, you won't be able to find it. So, when we onboard a new person, we want them to learn this new system, but it is a bit hard for them to pick up because there are no external learning materials on the Internet. For training, they provide the foundation and advanced training. If you have other issues, they have a support portal, which shows a brief summary of the features. It's not very extensive, like Google Cloud Platform. Sometimes there are things that may not be available in the portal. While other products will also not have available the information in their portal, other people know it. So, you don't have in the community discussions about solutions to a problem that would not be available in the portal.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"I actually quite liked the no-coding functionality."
"The most valuable feature is the drag-and-drop interface, which is very Windows-like."
"It gives us a central place to schedule tasks and run them distributed."
"The ability to connect to websites and pull data is the solution's most valuable feature."
"Compared to other vendors, it's the scheduling tool because a lot of vendors want to charge you extra for their enterprise-level license to have a scheduling tool built in to give you the ability to set up regular schedules to run and do certain data checks."
"A great feature that you seldom see in these kind of systems is the ability to use a database as trigger to launch a task. This is something I asked for a few years ago and that was added."
"We have found the pricing to be very reasonable."
"I find it very user-friendly. Our IT department and other departments can seamlessly collaborate without requiring extensive training. As a business department, we particularly value this aspect, as our team doesn't consist of many IT users. However, we couldn't solely rely on a drag-and-drop approach to implement and utilize the solution within our departments."
"I work for an insurance company, and we use Datacap for document processing."
"Datacap is good at processing unstructured data. You can build up some nice data flows, and it is simple to configure. The tool adopts a low-code approach, but you can do a lot of coding if you want to customize and automate your flows. Datacap also has the flexibility to integrate."
"The solution offers many features that are beneficial for customers."
"It is highly extensible, which we found to be most valuable. It is a very extensible solution because it is based on configurable rule sets. We were able to amend and adjust the solution and very easily add custom code and custom components. It does require some programming experience, but we found that not to be an issue. We liked its extensibility."
"It is very easy to develop this software. It is low code, and if you can't find the things you need on it, you can develop custom actions with more complex code underneath. They sync well, which is very useful for automating a lot of processes. It is a really valuable feature for the clients because we can ingest information and automate plenty of processes for them. The operators don't have to waste that much time on tasks. With Datacap, they can be automated."
"The most valuable features of IBM Datacap is the capturing and recognizing of pages, documents as well as the scanner and barcodes."
"The solution automates manual data entry."
"It helps companies figure out how to use advanced imaging techniques, processes, best practices, and other tools."
"The way Jiffy.ai integrates into existing infrastructure has been great for us. Our company is pretty stringent when it comes to cyber security and integrating with our apps... We've definitely had very strong scrutiny over this platform and this work, and even within that, it's been really successful at being able to integrate."
"It removes the burden of having to do some tasks manually. However, we are just using it in production for a single project. It saves us a lot of time in terms of extracting that information. So far, it has made a big impact."
"Its initial setup process was quite efficient."
"The most valuable feature is the computer vision or OCR. That has a lot of use cases in real life. A lot of man hours can be saved, as we've seen in the finance processes... The feedback I have gotten from the team is that the OCR is quite powerful."
"It is a one stop solution for automating process. The modular way that is assigned and works together follows a certain logic, and it encompasses a wide range of processes in a very structured and logical manner."
"I found the invoice data extraction very exciting. It is really good."
"The biggest driver was the cost savings. We wanted to improve productivity and save costs. Therefore, we gave most of the mundane tasks currently being done by a human to a bot. Some of the mundane tasks were reading invoices and keying in the data. We are talking about 15,000 documents every day. That is a huge volume that needs a lot of people. With the bot, it is just a fraction of the cost, because there is a huge savings in terms of manpower."
"With the customization option, we can write custom expressions using its compatibility with Python or other programming languages."
 

Cons

"I currently have three bugs open with them that I don't know if they are addressed in the new release."
"I would like to see some better web automation, a wizard like the one in the product WinAutomation would be very nice."
"Error messages should be better. For error status, there should be better documentation because a lot of times, error messages that you get are quite vague. For example, you get a message saying that the workflow has run into an unknown status, which is vague. It just tells you that it failed, but you don't know how or why it failed. It makes debugging difficult."
"The vendor is currently working on a solution that allows us to automatically create a process that is based on a document that we receive via email."
"There is a lack of good development for artificial intelligence, such as machine learning."
"I find that most important features are strong, however, there is a lack of good development for artificial intelligence, such as machine learning."
"The technical support could be better. We suffer from language barriers, as we are in Argentina."
"There is room for improvement regarding cloud functionality; there are a few missing features, and the logging could be better, especially air logging. We can go into logging events and create our own task, but it would be nice if this were more detailed."
"There are times when external features impact services. For example, Windows patching or antivirus updates can affect production-level services."
"What could be improved in IBM Datacap from a technical perspective is having everything together all in one place, rather than having several different interfaces. The addition of cloud-based OCR technology would also make this solution better. There's also room for improvement for their technical support."
"The solution's scalability needs improvement."
"I give the scalability of the solution a six out of ten."
"We have page requirements where some values must be copied on each page. For example, say I need to scan a bunch of documents, and the name will be a field on every page. We don't have a default functionality in Datacap to copy the field value on the first page to all the pages. That feature would make the documents easy to prepare."
"I would like to see the product have the ability to process more documents in parallel. Right now, it is a single queue. Therefore, if you want to really test the load and stress test it, having multiple instances and the ability to scale it up would be great."
"The reading efficiency of the solution needs to be improved."
"The user interfaces for exception processing can be tweaked. I commonly find that we try to tweak and customize some of those components to more of what the industry standard is. The product is still trying to play catch-up a little bit in those areas."
"The solution's support services need improvement."
"When using UiPath automation, we could just Google issues if we were stuck with something. In the initial days with Jiffy.ai, we could not get that type of information from Google because there wasn't much of a community."
"The solution has just not closed the gap of being accessible to non-IT users. If you are a non-IT person, then this all looks like gobbledygook. Maybe that is something that can be improved upon."
"Initially, in version 3, Jiffy.ai did not have support for containerization. In our environment, we are heavy users of containers and container illustrators. So, the initial deployment option was running based on individual hosts that we deployed in the cloud. That created a singularity in the way that we deployed services in our system."
"The UI or the UX has room for improvement. The approach for designing the workflow is not that straightforward. It's quite difficult."
"I believe this is also being addressed, but a lot of the platform work, as we were putting in new versions or making some updates, was, ironically, very manual. It's improved greatly, but I would imagine that's an area that they're probably still working on, on the backend, to help when it comes to what we need to do for platform support."
"They are still new in the market. Or, at least, they are still a small player. They require a lot of improvement in terms of learning material as well as the community developers. If you compare Jiffy.ai to an established solution, like UiPath, you can go to YouTube and find a lot of learning material posted by UiPath, partners, and other people in the community. However, for Jiffy.ai, you won't find that available in the market. Because of this it is very hard for us to find talent in the market. Most of the developers in the market are used to the bigger players. For Jiffy.ai, if you search a resume because you are trying to find someone who has used Jiffy.ai, you won't be able to find it. So, when we onboard a new person, we want them to learn this new system, but it is a bit hard for them to pick up because there are no external learning materials on the Internet."
"The setup process could definitely be better."
 

Pricing and Cost Advice

"Once you buy the software, you just pay for the support for backend help."
"I'm only involved in running the product and maintaining the systems, so I can't speak to the cost."
"I like the way this solution is priced because you can buy a license, or you can buy the software outright."
"It comes with a package that costs approximately $20,000 USD per year."
"From a distributor's side, one of the biggest selling points is its price point. Without going into any numbers, compared to UiPath, Automation Anywhere, and Blue Prism, we're significantly cheaper. The main difference is that other competitors usually charge you per process. However, in Automate's case, it's priced per bot. So, a bot can run multiple processes at the same time, but you are only priced for a single bot."
"While solutions like UiPath and Blue Prism cost around $11,000-$12,000 for each license, this product costs around $7,000 and you can keep it forever."
"It has gone up in price. The price of Fortra's Automate has increased since we first started using it. It does a lot but also costs a lot. It was a lot more affordable before Fortra owned the software."
"From a distributor's perspective, one of the biggest selling points of Automate is its price point."
"This solution is the most expensive in the market."
"You save a lot of time and money, but the benefit is you have people who are able to run the systems, check to see if there are any errors at all, and there are a lot less errors than a human system."
"Pricing depends on how much we use it. We pay per bulk quantity. We pay as you go. Therefore, it sort of depends on our usage of it."
"In Egypt, we have exchange rates that change year to year, and currently, we're facing an increase in the exchange rate between our Egyptian pound and the dollar. Since we have been using IBM DataCap two years ago we had a good price, it was not expensive. However, I cannot say now if it is expensive or not because of the exchange rate. Additionally, I don't have the data of other competitors and I don't know the prices."
"IBM could offer more competitive pricing. This would allow them to attain more users. Some of our clients are considering moving to a different solution called Encapture which is similar but offers more competitive pricing."
"It is an expensive solution."
"This solution offers seamless integration with other enterprise products, which is my area of responsibility, focusing on government sector projects. Larger enterprise projects don't pose problems. It might be suitable for small businesses as well."
"Pricing needs to stay competitive."
"Its license is yearly. There are no additional costs to the standard fee. It is a standard license."
"The solution's price is reasonable."
"The pricing is quite competitive. As a small player in the market, they are quite aggressive in their pricing. With the features that they offer, it is quite worth the value."
"If cost is of concern, then start with Jiffy. If cost is not your main concern there are a few premium products out there, but they come with a huge price tag."
"The pricing and license make sense. They have a model based on the concurrency of the workforce, which is very suitable in our case. The savings are great on the licensing cost."
"The licensing is not expensive; it is quite cheap. The expensive part is to support and maintain it. Understandably, we engage them to do a lot of work that could have been done by our own staff, if we had an RPA team. I wouldn't hold that against them. It is just that the cost of support is on the higher side for us."
"I like that it is very cost-efficient."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
12%
Manufacturing Company
8%
Healthcare Company
6%
Financial Services Firm
18%
Government
14%
Computer Software Company
13%
Insurance Company
9%
Financial Services Firm
24%
Computer Software Company
12%
Healthcare Company
11%
Transportation Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about HelpSystems AutoMate?
We use it for specific cases, mainly secure file transfers, which are vital for us. And it works for us.
What is your primary use case for HelpSystems AutoMate?
I am a consultant and I am making a lot of processes in human resources, payroll, certifications, trainings, web scra...
What is your experience regarding pricing and costs for Fortra Automate?
The pricing is quite good compared to its competitors. Competitors are often more expensive than Automate. I would ra...
What do you like most about IBM Datacap?
The installation of the solution is very simple.
What needs improvement with IBM Datacap?
When a client's requirement is not available in Datacap, out-of-the-box actions should be simpler to implement and no...
What do you like most about Jiffy.ai Automate?
Its initial setup process was quite efficient.
What is your experience regarding pricing and costs for Jiffy.ai Automate?
The solution's price is reasonable in terms of its performance. The licensing costs approximately $10,000 per year. T...
What needs improvement with Jiffy.ai Automate?
The solution's support services need improvement.
 

Also Known As

HelpSystems Automate, Automate
Datacap
No data available
 

Overview

 

Sample Customers

Aldergrove Financial Group, Preferred Health Professionals, Mindbeam Technologies, First Credit Union in British Columbia, Vestcom International, Prime Liberty Benefits, University of Tampa, CNLBancshares, World Precision Instruments, BJ's Restaurants, Globe Pequot Press, Accudata Technologies, Norton Healthcare, Pacific Toxicology Laboratories
Turkcell, PowerSouth Energy Cooperative, Central Nacional Unimed, Conqord Oil
Southwest Airlines
Find out what your peers are saying about IBM Datacap vs. Jiffy.ai Automate and other solutions. Updated: April 2025.
850,028 professionals have used our research since 2012.