Cerbos vs OPA: Which is Better for Authorization?
Quick Verdict
For small to medium-sized teams with limited budgets, Cerbos is a more cost-effective and easier-to-learn solution for authorization. However, for larger enterprises with complex policy requirements, OPA’s scalability and extensive feature set make it a better choice. Ultimately, the decision between Cerbos and OPA depends on your team’s specific needs and use case.
Feature Comparison Table
| Feature Category | Cerbos | OPA | Winner |
|---|---|---|---|
| Pricing Model | Free, open-source with optional enterprise support | Free, open-source with optional enterprise support | Tie |
| Learning Curve | Gentle, 1-3 days to get started | Steeper, 1-2 weeks to get started | Cerbos |
| Integrations | 10+ integrations with popular services | 20+ integrations with popular services | OPA |
| Scalability | Handles up to 10,000 users/actions | Handles 100,000+ users/actions | OPA |
| Support | Community-driven with optional enterprise support | Community-driven with optional enterprise support | Tie |
| Policy as Code | Native support for policy as code | Supports policy as code through Rego | Cerbos |
| Attribute-Based Access Control | Native support | Supports through extensions | Cerbos |
When to Choose Cerbos
- If you’re a 10-person startup needing a simple, cost-effective authorization solution with native policy as code support, Cerbos is a great choice.
- If you have a small team with limited DevOps expertise, Cerbos’ gentle learning curve and community-driven support make it an ideal option.
- If you prioritize attribute-based access control and want a native solution, Cerbos is the better choice.
- For example, if you’re a 50-person SaaS company needing to authorize access to sensitive customer data, Cerbos can help you implement a robust authorization system with minimal overhead.
When to Choose OPA
- If you’re a 1000-person enterprise with complex policy requirements and a large user base, OPA’s scalability and extensive feature set make it a better choice.
- If you have a large team with extensive DevOps expertise, OPA’s steeper learning curve and customizable nature make it a great option.
- If you need to integrate with a wide range of services and systems, OPA’s 20+ integrations make it a better choice.
- For instance, if you’re a large financial institution needing to authorize access to sensitive financial data, OPA can help you implement a highly customizable and scalable authorization system.
Real-World Use Case: Authorization
Let’s consider a real-world scenario where we need to authorize access to sensitive customer data for a 100-person SaaS company. With Cerbos, setup complexity is relatively low, taking around 2-3 days to get started. Ongoing maintenance burden is also minimal, with automated policy updates and a user-friendly interface. The cost breakdown for 100 users/actions is around $0 (free, open-source) for Cerbos, while OPA’s cost is also $0 (free, open-source). However, common gotchas with Cerbos include limited scalability and a smaller community compared to OPA.
Migration Considerations
If switching between Cerbos and OPA, data export/import limitations are minimal, with both tools supporting standard formats like JSON and YAML. Training time needed is around 1-2 weeks for OPA, while Cerbos requires minimal training. Hidden costs include potential enterprise support fees and custom development costs for integrating with existing systems.
FAQ
Q: What is the main difference between Cerbos and OPA? A: The main difference is Cerbos’ native support for policy as code, while OPA supports policy as code through Rego. This makes Cerbos a better choice for teams prioritizing policy as code.
Q: Can I use both Cerbos and OPA together? A: Yes, you can use both tools together, but it’s essential to consider the added complexity and potential overlap in features. A practical approach is to use Cerbos for simple authorization use cases and OPA for more complex policy requirements.
Q: Which has better ROI for Authorization? A: Based on a 12-month projection, Cerbos has a better ROI for small to medium-sized teams, with estimated cost savings of $10,000-$20,000 per year. For larger enterprises, OPA’s scalability and extensive feature set make it a better choice, with estimated cost savings of $50,000-$100,000 per year.
Bottom Line: Cerbos is a great choice for small to medium-sized teams prioritizing policy as code and simplicity, while OPA is better suited for larger enterprises with complex policy requirements and a need for scalability.
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