We performed a comparison between IBM Datacap and Jacada Intelligent Agent Engagement based on real PeerSpot user reviews.
Find out what your peers are saying about UiPath, Microsoft, Automation Anywhere and others in Robotic Process Automation (RPA)."The administration of the application following an error is most valuable. We are able to know easily when something is stuck in the system."
"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."
"Both Datacap Studio and Datacap Navigator are great features."
"The second thing that I like about Datacap is the fingerprint capture which is easy to configure on Datacap. From the form of the document, if a document is redundant in the same department, we can configure the capture based on the form of the documents"
"The standout feature of this intelligent product is its remarkable capability."
"There's something that's very unique about IBM DataCap. It provides me with a good solution for extracting, reading the QR codes, and scanning them. In this stage, we are working in a UIT phase before implementing this protocol in all our branches. From my initial observation, IBM DataCap is good, it is not working too fast, but in a good manner for us."
"It's resiliency. There are multiple ways of identifying what you are looking for. There are multiple export formats."
"At the forefront of my thoughts, the standout feature of this intelligent product is its remarkable capability. This project we're currently engaged in revolves around streamlining workflows within both our company and the customer's company. It entails handling information from various documents with diverse formats and types, even when they contain the same data. The ability to connect this information with the appropriate database and recognize it irrespective of the format or source is an extremely valuable feature. Moreover, leveraging machine learning is crucial since our customer deals with an extensive archive of over five million documents. Machine learning can significantly alleviate the backlog by becoming well-versed in various scenarios they might encounter during their work once we've completed our application."
"The initial setup was fairly straightforward."
"Its weaknesses are primarily tied to the lack of available resources and expertise in the market to effectively support and provide solutions and services to each customer for seamless implementation. Expertise in this specific product is rare throughout the market. One key reason is the product's limited downloads. Additionally, archiving solutions are often perceived as complex and challenging, dissuading many companies from venturing into this domain. Consequently, partners who specialize in archiving solutions are always seeking straightforward, uncomplicated options that are easy to manage and meet customer expectations."
"Datacap has performance issues when processing large volumes of documents. We're doing 18,000 pages daily. Scanning takes almost 20-30 minutes, but it normally takes one or two minutes. We informed IBM and opened a ticket for that. They forwarded the issue to developers but didn't give a specific timeline for it to be resolved. Version 8.1 is already at the end of support."
"Going forward, IBM needs to ensure that the output is perfect (as it can make the product) while staying true to platform's core."
"Datacap's technology seems a little behind the industry. It's still using the old .NET framework. They should move to .NET Core and start integrating some machine learning. You can do some integration yourself, but you expect a solution to include the latest machine-learning approaches if you're paying reasonable money for it."
"Its weaknesses are primarily tied to the lack of available resources and expertise in the market to effectively support and provide solutions and services to each customer for seamless implementation."
"There should be an increase in the capacity of the workflows. Datacap is a little limited in this aspect. So, you cannot really implement all the possibilities."
"One of the things that we wished for was to have an easier way to carry out the customizations. Currently, if you want to customize data, you need to have a developer with C# knowledge. If IBM could implement a no-code or low-code platform for Datacap, it would be easier to adjust it without needing a developer, which was always the most difficult part."
"The IBM Datacap site actually is on the newer inside. They will give it as a plugin only."
"They need to create a workflow system."
Earn 20 points
IBM Datacap is ranked 8th in Intelligent Document Processing (IDP) with 26 reviews while Jacada Intelligent Agent Engagement is ranked 45th in Robotic Process Automation (RPA). IBM Datacap is rated 7.6, while Jacada Intelligent Agent Engagement is rated 7.0. The top reviewer of IBM Datacap writes "The ability to connect this information with the appropriate database and recognize it irrespective of the format or source is an extremely valuable feature". On the other hand, the top reviewer of Jacada Intelligent Agent Engagement writes "Suitable for a small-scale business but not evolved enough for a large enterprise". IBM Datacap is most compared with ABBYY Vantage, Microsoft Power Automate, Tungsten TotalAgility, HyperScience and OpenText Intelligent Capture, whereas Jacada Intelligent Agent Engagement is most compared with UiPath.
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