DBOS vs Make: Workflow Automation Comparison
Compare DBOS and Make side by side. Both are tools in the Workflow Automation category.
The short answer
Choose DBOS if founded by legendary database pioneer Mike Stonebraker with world-class research backing.
Choose Make if powerful visual builder with superior handling of complex multi-step workflows and branching logic.
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Quick Comparison
| Category | Workflow Automation | Workflow Automation |
| Pricing | Freemium | Freemium |
| Best For | Developers building AI agents and workflows that need durable execution and automatic failure recovery | Teams who need more complex automation logic than simple trigger-action tools provide |
| Website | dbos.dev | make.com |
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Pros & Cons: DBOS vs Make
- +Founded by legendary database pioneer Mike Stonebraker with world-class research backing
- +25x faster than AWS Lambda + Step Functions for serverless workflows
- +Multi-language support (Python, Go, Java, TypeScript, Kotlin) with minimal code changes required
- +Automatic workflow resumption and durability built on proven database technology
- +MCP server integration enables AI agents to troubleshoot and fix workflow issues
- −Newer commercial product (launched 2024) despite strong research foundation
- −Requires understanding of database concepts for optimal usage
- −Smaller ecosystem and community compared to established workflow platforms
- −Limited integrations and pre-built components compared to no-code alternatives
- +Powerful visual builder with superior handling of complex multi-step workflows and branching logic
- +3,000+ app integrations with advanced data transformation and HTTP/webhook capabilities
- +Cost-effective pricing, significantly cheaper than Zapier for complex automations
- +Built-in code environment for JavaScript and Python for advanced customization
- +Backed by $13B Celonis with enterprise-grade reliability and continuous innovation
- −Steeper learning curve than Zapier due to more complex interface and field mapping
- −Credit-based pricing system can be confusing to estimate costs accurately
- −Less suitable for complete beginners or non-technical users
- −Smaller community and fewer pre-built templates compared to Zapier
When to Choose DBOS vs Make
- Crash-resilient AI agent workflows
- Durable execution for long-running tasks
- Workflow orchestration with automatic recovery
- Complex multi-step automations
- Marketing and sales workflow automation
- Data transformation pipelines
How to Choose a Workflow Automation Tool
Key criteria to evaluate when comparing Workflow Automation solutions:
About DBOS
DBOS is an open-source durable execution and workflow orchestration system that radically simplifies the development and operation of reliable, observable workflows by building them on database foundations. Co-founded by Postgres creator Mike Stonebraker alongside a joint team of MIT and Stanford computer scientists, DBOS started in 2020 as a research project with MIT, Stanford, and Carnegie Mellon University exploring how to scale and improve scheduling of millions of distributed tasks. Now a commercial company headquartered in Cambridge, MA, DBOS offers an open-source library to add durable computing to any software using lightweight decorators in Python, Go, Java, TypeScript, and now Kotlin through a Spring Boot starter. DBOS Cloud, launched in March 2024, is a serverless code execution platform specifically built for reliable, observable applications that runs serverless workflows 25x faster than AWS Lambda + Step Functions. The platform automatically resumes workflows after any interruption, with comprehensive support for transactional workflows, automatic checkpointing, and direct integration with AI agents through the DBOS MCP server that gives agents access to workflow troubleshooting tools.
About Make
Make (formerly Integromat) is a visual automation and integration platform that enables users to design, build, and run workflows across more than 3,000 cloud applications and APIs without writing code using a scenario-based, drag-and-drop builder. Acquired by Celonis in 2020 for over $100M and rebranded from Integromat to Make in 2022, the platform provides a powerful visual way to build multi-step workflows with advanced flow control, rich data transformation, HTTP and webhook modules, and an embedded code environment for JavaScript and Python. Make now serves over 350,000 organizations in 200+ countries, from solopreneurs to global enterprises. The platform has evolved to include cutting-edge capabilities such as Make AI Agents, Maia (an AI-powered workflow builder), and Make Grid, a real-time visualization layer for an organization's entire automation landscape. Make is particularly valued for its combination of flexibility, depth of features, and cost-effective pricing for complex automations, making it ideal for operations, IT, and marketing teams comfortable with mapping fields and handling conditions.
What is Workflow Automation?
Platforms for building multi-step AI-powered automations that connect apps, APIs, and agents into repeatable business workflows.
Browse all Workflow Automationtools →Frequently Asked Questions
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