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Flowable vs Tray.io comparison

 

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

Flowable
Ranking in Process Automation
23rd
Average Rating
7.0
Reviews Sentiment
7.3
Number of Reviews
1
Ranking in other categories
Business Orchestration and Automation Technologies (28th)
Tray.io
Ranking in Process Automation
26th
Average Rating
7.2
Reviews Sentiment
5.4
Number of Reviews
6
Ranking in other categories
Cloud Data Integration (21st), Low-Code Development Platforms (27th), Integration Platform as a Service (iPaaS) (16th)
 

Mindshare comparison

As of June 2026, in the Process Automation category, the mindshare of Flowable is 2.6%, down from 6.3% compared to the previous year. The mindshare of Tray.io is 0.9%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Process Automation Mindshare Distribution
ProductMindshare (%)
Flowable2.6%
Tray.io0.9%
Other96.5%
Process Automation
 

Featured Reviews

Simon Greener - PeerSpot reviewer
Solutions Architect at Cohga Pty Ltd
Helps to control the workflow and business process components of customers' operations but OSGi integration can be challenging
I'd rate my experience with the initial setup of Flowable at about a three out of ten, but for our developers, it's probably closer to a six. I found it challenging due to the complexity of the user and help documents and the fact that much of the Flowable documentation and tutorials are focused on cloud-based implementations. Since we're primarily interested in basic components like BPMN models and form design, which aren't included in the product, the learning process was more difficult for me. In contrast, our developers are more comfortable diving into the code and technology stack, which allows them to be more proactive in their approach. The deployment took three months to complete. We're still in the deployment process. Our main challenge is integrating the Flowable process engine into our product, which uses OSGi. This has led to complexity in managing the Java versions and dependencies, as the tool has around 150 Java files. We could have chosen to interact with Flowable via a Docker container and the REST API, which would have isolated the OSGi Java dependencies, but we decided to integrate it directly. This has required resolving Java version control issues and upgrades, leading to various development challenges that must be addressed. It is a learning process for all of us. As an integrated solutions architect, I would have probably opted for the Docker route rather than the direct OSGi integration chosen by the developers. However, since they went with the OSGi integration, it's taking us longer to complete the deployment. Currently, we have one full-time developer dedicated to deployment, along with one part-time developer, and my involvement at about a quarter of my time. So, we have about two people working on deployment. As for maintenance, we're not entirely sure yet. Given our direct OSGi integration choice instead of Docker and REST, maintenance may be more challenging. However, we'll have a clearer picture once deployment is complete.
Amrit Dash - PeerSpot reviewer
Automation Engineer at a educational organization with 11-50 employees
Automated student enrollments have reduced manual work and now free our team for higher-value support
Tray.io is definitely a highly powerful tool, but there are three main areas that I feel could be improved. There is a steep learning curve in user accessibility; the builder is highly developer-centric, making it difficult for a non-technical team member to modify or troubleshoot workflows. Introducing a more intuitive visual interface similar to what we have in make.com right now would make the platform much more collaborative and easier to work with for any non-technical folks or newly onboarded engineers, allowing them to be briefed faster. Visual debugging is another area where troubleshooting complex nested loops can feel very abstract. Having clearer, more visual step-by-step data tracking during test runs would speed up the development and testing process. The pricing model is geared heavily towards enterprise budgets; offering more flexible mid-market pricing tiers would make it more accessible for a growing organization that wants a small start and scale up gradually. The core platform security is highly robust and easily meets our requirements for SOC 2 and GDPR compliance. However, when utilizing their AI features such as Merlin AI with sensitive student data, we maintain a very cautious approach. While Tray.io provides enterprise-grade governance guardrails and data masking capabilities, our internal compliance policies prevent us from passing any personally identifiable student information directly through AI-driven processors. We trust Tray.io's underlying infrastructure security, but we believe organizations must still enforce strict data filtering protocols on their end to ensure student privacy is maintained. During our evaluation, we tested the AI capabilities in a sandbox environment, primarily using it to generate workflow drafts and natural language prompts from web data schemas. Strength-wise, it is highly capable when it comes to translating simple text descriptions into functional workflow templates. It serves as a great accelerator, helping to map standard files quickly and reducing the initial setup time for basic integrations. For issues, in the case of highly custom APIs or deeply nested data structures, accuracy declines. We noticed occasional misinterpretation of complex schemas, meaning our developers still had to manually review and correct the outputs. It is a highly helpful productivity booster but still requires human oversight for enterprise-grade reliability.

Quotes from Members

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

Pros

"The tool's most valuable feature is the process engine. It allows us to define BPM-based workflows, deploy them into our process engine, and interact with them within our product."
"Tray.io has positively impacted my organization by helping us keep our internal database and this third-party service in sync, and it has really helped us automate a lot of that work because it is fairly straightforward to maintain and develop."
"Tray.io has positively impacted my organization by eliminating a lot of the manual work that we were having to do daily."
"Tray.io has positively impacted my organization by helping to manage webhooks easily and workflows easily, and it has improved collaboration so that other clients can use webhooks."
"During our three to six-month evaluation pilot, automating our student enrollment sync with Tray.io delivered proper operational improvements."
"Tray.io has positively impacted my organization by reducing the amount of redundant tasks that our team performs by approximately 80%, and the numbers are quite significant with the workflows alone, as we are working towards creating and utilizing AI within these workflows as well."
"Tray.io has positively impacted my organization as it provides a trusted way to organize data results and share them throughout the company at once."
 

Cons

"In my opinion, areas of improvement for Flowable include the management and creation of forms within the open-source components and the documentation and examples provided. While the cloud-based Flowable implementation with no-code features is attractive, we prefer more control over integration, especially since we deploy our product onto AWS. We also want to avoid additional licensing fees for Flowable runtime user components on top of our software development and implementation charges."
"One way Tray.io could be improved, especially for people coming in with no real coding experience, is with more comprehensive error messages."
"Tray.io is definitely a highly powerful tool, but there are three main areas that I feel could be improved."
"As our product got more complex, we needed to add more and more complexity to Tray.io in terms of our setup, and that is when the benefits of it being no-code or low-code started to pale in comparison to the cost of making everything slightly more complicated."
"There is not much that can be improved in Tray.io. It is a good tool, but debug can be improved further and the solutions can be improved further."
"I have found that the error management in my main use case with Tray.io is not as effective as we would prefer."
"I landed on that rating because we feel that it is mediocre; it does what we need it to do more often than not, but it does not impress us as it is not always reliable and hands-off."
 

Pricing and Cost Advice

"Since the tool is open-source, we don't have to pay anything for it. It's free to download and use, which is great for us. If Flowable hadn't been available as open source and required a license fee for us to integrate it into our product, we might not have chosen it."
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Top Industries

By visitors reading reviews
Financial Services Firm
28%
Computer Software Company
13%
Manufacturing Company
8%
Outsourcing Company
5%
Construction Company
13%
Comms Service Provider
13%
Healthcare Company
10%
Outsourcing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business4
Large Enterprise4
 

Questions from the Community

Ask a question
Earn 20 points
What needs improvement with Tray.io?
Tray.io is definitely a highly powerful tool, but there are three main areas that I feel could be improved. There is a steep learning curve in user accessibility; the builder is highly developer-ce...
What is your primary use case for Tray.io?
We used and evaluated Tray.io for approximately three to six months during a proof of concept evaluation phase. During this period, our engineering and operation teams utilized the platform to buil...
What advice do you have for others considering Tray.io?
I give Tray.io an eight out of ten rating mostly because of how it is developer-centric and lacks a low-code platform and the pricing. The reduction in manual data tasks had a direct positive impac...
 

Comparisons

 

Overview

 

Sample Customers

1. Adobe 2. BMW 3. Cisco 4. Dell 5. Ericsson 6. Ford 7. General Electric 8. Honda 9. IBM 10. Johnson & Johnson 11. Kia Motors 12. LG Electronics 13. Microsoft 14. Nike 15. Oracle 16. PepsiCo 17. Qualcomm 18. Red Bull 19. Samsung 20. Toyota 21. Uber 22. Visa 23. Walmart 24. Xerox 25. Yahoo 26. Zara 27. Accenture 28. Bank of America 29. Citigroup 30. Deutsche Bank 31. ExxonMobil 32. Facebook
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