Bizagi and Retool are competing products in the business process management and development sectors. Bizagi offers strong customization and process automation, while Retool is distinguished by its developer-oriented features for quick and adaptable app creation.
Features: Bizagi's features include workflow automation, low-code development, and extensive integration, making it ideal for complex process management. Retool offers a drag-and-drop interface, strong data integration, and pre-built components fitting for internal tools and data-driven applications.
Room for Improvement: Bizagi could improve its integration error identification, REST integration, and user interface versatility. Retool may enhance documentation clarity, expand pre-built component variety, and improve user interface aesthetics.
Ease of Deployment and Customer Service: Bizagi provides cloud-based deployment and comprehensive support, enabling swift access and seamless implementation. Retool offers straightforward setup with a focus on developer-centric environments and extensive self-help resources, streamlining the experience for technical teams.
Pricing and ROI: Bizagi adopts a subscription model aimed at enterprise-level capabilities, delivering high ROI for large-scale implementations. Retool provides flexible pricing suitable for startups, offering quick deployment and faster ROI through efficient application development.
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.
It is a community product, there is not much support we can expect.
The toolset is very intuitive, so we didn’t need to contact their support much.
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.
There is no direct scalability option.
If I rate scalability from one to ten, I would probably give it a six.
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.
Reporting capabilities can be improved more, and community support should be increased.
For more mature environments, the integration to live systems is lacking, which affects its applicability.
The decision map could be improved to allow more than three options at a decision point.
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.
Bizagi's pricing is very aggressive, and it was one of the reasons we chose it.
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.
It is open source.
The user interface is very good, making it easy for business people to understand.
Bizagi has rich functionalities; compared to other BPMN tools, it has more features.
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 (%) |
|---|---|
| Bizagi | 3.0% |
| Retool | 1.3% |
| Other | 95.7% |
| Company Size | Count |
|---|---|
| Small Business | 43 |
| Midsize Enterprise | 16 |
| Large Enterprise | 36 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 3 |
| Large Enterprise | 4 |
Bizagi is an enterprise platform for business orchestration and AI automation, enabling organizations to design, automate, and run complex end-to-end processes that bring together people, AI agents, systems, and data. Unlike point AI tools, Bizagi is the operational layer where AI, processes, and enterprise systems work together: governed, auditable, and production-ready.
Built on more than two decades of enterprise process expertise, Bizagi brings the depth of operational knowledge that newer AI platforms simply have not had time to develop. That foundation is what makes Bizagi's AI story credible where others are still experimental.
Bizagi's native AI capabilities are built directly into the platform. AI Agents are reusable, GenAI-powered assistants configured in the AI Hub, capable of content generation, document analysis, classification, summarization, and more. They can be invoked from processes, interfaces, or other agents, and integrate via connectors and Model Context Protocol to reach internal and external systems. AI Workers automate repetitive tasks inside forms and workflows by analyzing rules, field history, and process context, operating in supervised or more autonomous modes and improving through reinforcement learning. Ask Ada, Bizagi's conversational analytics assistant, lets users query business data in natural language and receive answers, charts, and insights, all within Bizagi's role and permission model and grounded in both process data and enterprise documents through a built-in RAG knowledge layer.
Governance is central, not optional. Bizagi runs on Microsoft Azure with Private OpenAI integration, keeping sensitive data within a secure perimeter. AI features require deliberate configuration and deployment. Generative AI capabilities are intentionally built into workflows rather than casually enabled, and Data Domains, Personas, and Bizagi's role model control precisely what any AI capability can access and how results can be used.
Customers see results fast. Stone Coast Fund Services reduced processing time by 80% across more than 25,000 annual service requests, going live in six weeks. Bizagi's AI Ignite packages take organizations from zero to live AI Agents or AI Assistants in approximately seven weeks, combining software and professional services to de-risk early projects.
With over 1,000 enterprise implementations across financial services, manufacturing, healthcare, and government, Bizagi is named in the 2025 Gartner Magic Quadrant for Business Orchestration and Automation Technologies (BOAT), Microsoft Certified for AI in Financial Services and Manufacturing, and a G2 leader across Agentic AI, AI Agents for Business Operations, BPM, and Digital Process Automation. Customers include DHL, Unilever, Caterpillar, and Old Mutual.
For more information, visit bizagi.com.
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.
We monitor all Rapid Application Development Software reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
