Bizagi and Make are strong contenders in the process automation and integration software space. Bizagi appears to have an edge due to its affordability and organizational savings, while Make is praised for its integration capabilities despite its pricing model.
Features: Bizagi stands out for its BPMN compatibility, rapid process automation, and ease of use. It includes features such as the Bizagi Modeler, process simulation, and strong documentation capabilities. Make, on the other hand, excels with a modular drag-and-drop interface, extensive integration options, and a low-code environment that facilitates quick automation creation and deployment.
Room for Improvement: Bizagi users suggest enhancements in migration processes, document management, and machine learning capabilities. Performance and interface intuitiveness are also mentioned as areas needing improvement. Make could improve with clearer security documentation, simpler pricing models, and faster platform performance. Expanding developer-friendly features and adjusting pricing for varying business scales are also recommended by users.
Ease of Deployment and Customer Service: Bizagi is mainly used on-premises, which can suit organizations favoring local setup but presents challenges in technical support responsiveness. Make's cloud-based deployment offers wide access but potential platform slowness. Customer service for both is positive, with Make's team being proactive and Bizagi offering a supportive community, although premium support is seen as needing improvement.
Pricing and ROI: Bizagi offers a compelling free version beneficial for smaller entities and educational use, with significant savings reported by users, though enterprise licensing is considered expensive. Make's pricing is competitive compared to alternatives like Zapier, but its consumption-based pricing may escalate costs for certain deployments. Both products yield strong ROI, with Bizagi delivering substantial savings and Make offering affordability and operational efficiency.
I have indeed seen a return on investment as it has saved us hundreds of hours in repetitive tasks, streamlining our follow-up to the leads that we are generating.
I implemented a booking system for my client that previously required data to be entered directly into Google Sheets and reminders to be sent manually; using Make, they have saved about 50% of their time, which equals one labor resource, translating to a significant amount of money saved.
With that extra time each month, I could focus more on sales and upscaling my business, so it is really worth it.
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.
We have escalated a few issues that we faced during some integrations, and we received reasonable responses from Make support.
They were doing the best job for my use cases and my problems.
When I had a problem during the pricing payment, the customer support handled it very well.
There is no direct scalability option.
If I rate scalability from one to ten, I would probably give it a six.
When you have an error, it is very hard to do error handling and debugging.
It can handle increasing workloads or more complex automations easily, but I need to set up each and every component carefully.
Make's scalability is very good, and if the pricing were lower, I could scale a lot more.
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.
There should be clarity about whether the data is secure while passing through these automations or integrations created within Make.
I would love to have more detailed logs, step-by-step error tracing, and better visualization of failed executions, as I think it would improve the user experience significantly.
The lagging problem needs to be solved.
Bizagi's pricing is very aggressive, and it was one of the reasons we chose it.
Licensing was affordable.
I found a solution that allows me to use Make almost for free, just using the Docker on-premises.
It's cost-effective and it's pocket-friendly.
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.
Make has positively impacted my organization by enabling us to solve use cases for hundreds of clients across hundreds of different platforms, providing the customization capabilities to automate accounting and invoicing processes that save dozens of man-hours a month, and allowing us to build custom churn, retention, and engagement costs that have driven a 30% reduction in churn.
Instead of spending several days implementing and testing API integrations inside our FastAPI back end, I was able to build the workflows in a few hours using Make.
The task that I would complete in a span of one day is completed in a matter of minutes by using Make.
| Product | Mindshare (%) |
|---|---|
| Make | 1.6% |
| Bizagi | 3.3% |
| Other | 95.1% |
| Company Size | Count |
|---|---|
| Small Business | 43 |
| Midsize Enterprise | 16 |
| Large Enterprise | 36 |
| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 1 |
| Large Enterprise | 6 |
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.
Make is a robust automation platform that streamlines workflows, connecting apps to enhance productivity. Tailored for tech-savvy users, it offers dynamic automation solutions that optimize processes and facilitate seamless integration of disparate systems.
At its core, Make empowers businesses to automate tasks through an intuitive builder with drag-and-drop capabilities. Ideal for professionals who need to integrate systems efficiently, it supports a wide range of applications, aiding in the creation of complex workflows without the need for extensive coding. Users value its adaptability, making it a popular choice for enhancing operational efficiency.
What features does Make offer?In industries like retail and technology, Make has become essential for automating inventory management, order processing, and customer relationship tasks. Companies leverage its capacity to connect multiple databases, CRM systems, and sales platforms, driving growth and operational excellence.
We monitor all Process Automation 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.
