

Find out in this report how the two AI Software Development solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
If a task would require an hour, it can now be done in seconds.
This results in cost saving and time saving, as whenever you save some time, that is equal to cost saving.
I have seen a return on investment so far, as Dify worked for me, but I do not have a metric to determine how much time it saved.
We had fewer front-end resources, and while developing with Retool, we did not need many front-end team members, which saved on salaries.
I think we can see time saved to start the proof of concept and maybe money saved because I was able to develop the mobile app alone without needing additional resources.
We have seen a return on investment because we are building these internal dashboards 30 to 50% faster, so we are saving approximately 30 to 50% of an employee's time.
I have been impressed by the voice agent, the feedback the team requests, and the developments they have implemented so far.
Whenever you have questions, you get an instant answer.
I already understood how to use user input, the LLM model, and templates without needing guides.
The customer support is amazing; overall, AWS customer support is very professional and fast.
It is very easy to learn and integrate within our database and infrastructure because we are already on Amazon Web Services, and our entire tech stack is on Amazon Web Services.
Technical support team is available, but I haven't needed to contact them.
Rather than using a cloud-hosted platform, using a self-hosted platform means there can be scalability issues.
Dify's scalability is good and it handles growth or increased workloads effectively, depending upon the resources available.
I would need to consider cloud scaling, such as vertical and horizontal scaling as the number of users increases.
It's scalable and doesn't experience any slowdown when handling increasing data volumes.
Retool is more suited for startups, but it can get messy at scale.
Retool is stable in my experience.
For EU customers, adding more documentation about how Dify processes the data when starting to use Dify would be really beneficial for companies in Europe to get started with Dify.
We currently use OpenAI Agents SDK, which requires you to build everything by code, but the observability is really good.
The only improvement would be if Dify provided an SMTP server that could be connected to automate Dify workflow management, as that would be a great option.
Retool needs more customization options, as it should not be limited to a few customization features; it should be broader, with more features available for users to utilize.
AI tools, features, and machine learning capabilities should be added as they would be helpful in the future.
There should be better documentation or support for non-technical users, providing a platform to learn and implement Retool effectively.
My experience with pricing, setup cost, and licensing is that it was free to use.
Dify is free to use and has a free license from GitHub under a Dify open-source license based on Apache 2.0.
The experience with pricing is that it is quite reasonable.
The pricing, setup cost, and licensing experience were good as the free plan was enough for us.
My experience with pricing, setup cost, and licensing for Retool is that it is straightforward but somewhat pricey compared to other industry leaders such as Sentry and others.
Initially, we had about two weeks of time to implement the whole thing, but that was cut down to two days of time through using Dify.
Dify has positively impacted the organization because accuracy has been improved, and the time and complexity in flows that were manual are now automated.
Dify stands out to me because it is compliant with GDPR, and it is 100% compliant with GDPR rules.
Retool positively impacts our organization by saving costs compared to using other data repositories, and teams prefer Retool for daily tasks that perform customizations to showcase web pages or link their data backend, making it more efficient and cost-effective than other software available in the market.
Compared to other solutions, the time is 30 to 50% shorter when we are building an internal tool using Retool.
Retool provides built-in features with all processing happening within the platform, which is a significant advantage.
| Product | Mindshare (%) |
|---|---|
| Dify | 0.6% |
| Retool | 0.5% |
| Other | 98.9% |

| Company Size | Count |
|---|---|
| Small Business | 5 |
| Large Enterprise | 3 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 3 |
| Large Enterprise | 4 |
Dify provides seamless integration and innovative features that optimize business processes for enhanced productivity. Its user-friendly design accommodates diverse use cases, making it a versatile choice for organizations seeking efficiency.
Dify revolutionizes workflow management with its intuitive platform. Designed with adaptability in mind, it serves businesses across industries by streamlining operations and facilitating collaboration. Dify's ecosystem allows for the integration of different tools, enhancing productivity and reducing the need for multiple systems. By offering a centralized hub for task management, it helps teams achieve their goals with relative ease and efficiency.
What are the key features of Dify?Dify's implementation strategy varies across industries. In retail, it connects inventory management systems to improve accuracy and reduce waste. In healthcare, it streamlines patient data processes for better caregiving. In manufacturing, it's used to optimize supply chain logistics, cutting down on lead times and boosting efficiency.
Retool enables rapid construction of internal tools with minimal coding, streamlining workflows across HR, customer support, and compliance. Praised for its drag-and-drop interface, extensive component library, and SQL support, it boosts organizational efficiency by automating tasks and enhancing data management.
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