OPA vs Sentinel: Enterprise Policy as Code Comparison (2025)
A comprehensive comparison of Open Policy Agent (OPA) and HashiCorp Sentinel for policy as code. Compare language, use cases, integrations, ecosystem, and enterprise features to choose the right solution.
What You'll Learn
The Bottom Line
OPA is open-source, cloud-native, and vendor-agnostic with the broadest ecosystem. Sentinel is HashiCorp-native, deeply integrated with Terraform Cloud/Enterprise, and enterprise-focused. Choose based on your infrastructure stack and governance needs.
Quick Overview: OPA vs Sentinel
Open Policy Agent (OPA)
CNCF Graduated Project using Rego language. General-purpose policy engine for Kubernetes, cloud APIs, microservices, and more. Vendor-agnostic with 100+ integrations.
- Language: Rego (declarative, logic-based)
- Licensing: Apache 2.0 (fully open-source)
- Governance: CNCF (community-driven)
- Best For: Cloud-native, Kubernetes-centric, multi-vendor
HashiCorp Sentinel
Enterprise policy framework for HashiCorp products. Purpose-built for Terraform, Vault, Consul, and Nomad. Deeply integrated with Terraform Cloud/Enterprise.
- Language: Sentinel (imperative, Python-like)
- Licensing: Business Source License (paid for production)
- Governance: HashiCorp (vendor-controlled)
- Best For: HashiCorp-heavy stacks, Terraform governance
Feature-by-Feature Comparison
| Feature | OPA (Open Policy Agent) | Sentinel (HashiCorp) |
|---|---|---|
| Language | Rego (declarative, logic-based) | Sentinel (imperative, procedural) |
| License | Apache 2.0 (fully open-source) | Business Source License (paid for enterprise) |
| Governance | CNCF Graduated (community-driven) | HashiCorp (vendor-controlled) |
| Learning Curve | Steep (requires learning declarative logic) | Moderate (familiar if you know Python/Ruby) |
| Primary Use Case | Kubernetes admission control, cloud APIs, microservices | Terraform plan validation, HashiCorp product governance |
| Terraform Integration | Via Conftest, custom tools (3rd party) | Native in Terraform Cloud/Enterprise |
| Kubernetes Integration | Native via OPA Gatekeeper (most popular) | Not designed for Kubernetes |
| Cloud Provider Support | AWS, Azure, GCP via custom integrations | Limited (primarily via Terraform) |
| Testing Framework | Built-in with opa test | Built-in with sentinel test |
| IDE Support | VS Code, IntelliJ plugins | VS Code, IntelliJ plugins |
| Performance | Fast (compiled to native code) | Fast (embedded runtime) |
| Community Size | Large (1000+ companies, active Slack) | Medium (HashiCorp customer base) |
| Ecosystem | 100+ integrations (Envoy, K8s, Kafka, etc.) | HashiCorp products (Terraform, Vault, Consul) |
| Cost | Free (open-source) | Included with Terraform Cloud/Enterprise (paid) |
| Policy Libraries | Community libraries, OPA Gatekeeper library | HashiCorp Foundations library (curated) |
| Deployment Model | Standalone binary, sidecar, admission controller | Embedded in Terraform Cloud/Enterprise |
Language Comparison: Rego vs Sentinel
The language difference is the most significant factor in choosing between OPA and Sentinel.
OPA Rego (Declarative)
Example: Deny EC2 instances without encryption
package terraform.analysis
import input as tfplan
# Find all EC2 instances in the plan
ec2_instances := [resource |
resource := tfplan.resource_changes[_]
resource.type == "aws_instance"
resource.change.actions[_] == "create"
]
# Find instances without encryption
unencrypted_instances := [instance |
instance := ec2_instances[_]
not instance.change.after.root_block_device[_].encrypted
]
# Deny if any unencrypted instances exist
deny[msg] {
count(unencrypted_instances) > 0
msg := sprintf("Found %d EC2 instances without encryption", [count(unencrypted_instances)])
} Rego Characteristics
- Declarative: You define WHAT conditions to check, not HOW to check them
- Logic-based: Similar to Datalog/Prolog. Uses rules, unification, and queries
- Strengths: Excellent for complex policy composition, reusable rules, graph queries
- Weaknesses: Steep learning curve, counter-intuitive for imperative programmers
Sentinel (Imperative)
Example: Deny EC2 instances without encryption
import "tfplan/v2" as tfplan
# Get all EC2 instances
ec2_instances = filter tfplan.resource_changes as _, rc {
rc.type is "aws_instance" and
rc.change.actions contains "create"
}
# Check encryption
unencrypted_instances = []
for ec2_instances as address, instance {
root_device = instance.change.after.root_block_device[0] else null
if root_device is not null {
if root_device.encrypted is not true {
append(unencrypted_instances, address)
}
}
}
# Main rule
main = rule {
length(unencrypted_instances) == 0
} Sentinel Characteristics
- Imperative: You write HOW to check conditions step-by-step
- Procedural: Similar to Python/Ruby. Uses loops, conditionals, and variables
- Strengths: Easier for traditional programmers, intuitive control flow
- Weaknesses: More verbose, harder to compose complex policies
Which Language is Better?
Choose Rego (OPA) if you:
- Need complex policy composition (e.g., graph queries for RBAC)
- Want to reuse policies across different systems (K8s, APIs, Terraform)
- Have time to invest in learning declarative logic
- Work with data that benefits from relational queries
Choose Sentinel if you:
- Prefer imperative/procedural programming (Python, Ruby, Go style)
- Only need Terraform governance (not broader policy enforcement)
- Want faster team onboarding (easier learning curve)
- Already use Terraform Cloud/Enterprise
Use Cases and Integration Points
OPA Excels At
Kubernetes Admission Control
OPA Gatekeeper is the industry standard for K8s policy enforcement. Validate pod security, resource limits, ingress rules, and more.
apiVersion: constraints.gatekeeper.sh/v1beta1
kind: K8sRequiredLabels
metadata:
name: require-team-label
spec:
match:
kinds:
- apiGroups: [""]
kinds: ["Namespace"]
parameters:
labels: ["team", "cost-center"] API Gateway Authorization
Enforce fine-grained access control at the API gateway level (Envoy, Kong, NGINX).
package envoy.authz
default allow = false
allow {
input.attributes.request.http.method == "GET"
input.attributes.request.http.path == "/api/users"
input.attributes.request.http.headers.authorization == "Bearer valid-token"
} Multi-Cloud Governance
Validate AWS, Azure, GCP resources using cloud provider APIs with OPA's REST API integration.
Sentinel Excels At
Terraform Plan Validation
Native integration with Terraform Cloud/Enterprise. Block plans that violate policies before apply.
import "tfplan/v2" as tfplan
mandatory_tags = ["Environment", "Owner"]
main = rule {
all tfplan.resource_changes as _, rc {
rc.type is "aws_instance" and
rc.change.actions contains "create"
implies
all mandatory_tags as tag {
rc.change.after.tags contains tag
}
}
} HashiCorp Vault Policies
Control who can access secrets based on dynamic conditions (time, IP, metadata).
Cost Control in Terraform
Estimate and limit infrastructure costs before deployment using Sentinel's cost import.
import "tfrun"
main = rule {
tfrun.cost_estimate.proposed < 10000
} Integration Ecosystem
| Integration | OPA | Sentinel |
|---|---|---|
| Kubernetes | Native (OPA Gatekeeper) | Not supported |
| Terraform | Via Conftest, custom tools | Native in Terraform Cloud/Enterprise |
| Envoy Proxy | Native plugin | Not supported |
| Vault | Custom integration | Native |
| Consul | Custom integration | Native |
| AWS APIs | Via Cloud Custodian, custom tools | Not directly (via Terraform) |
| CI/CD Pipelines | GitHub Actions, GitLab, Jenkins | Terraform Cloud integration |
| Service Mesh | Istio, Linkerd | Not supported |
When to Choose OPA vs Sentinel
Choose OPA When:
- Kubernetes-centric: You need admission control, pod security, or CRD validation
- Multi-vendor: You use multiple clouds, tools, or services and want one policy engine
- Open-source requirement: You need full control, no licensing costs, and community governance
- API Gateway authorization: You're using Envoy, Kong, or NGINX and need fine-grained access control
- Complex policy composition: You need graph queries, recursive rules, or advanced logic
- Existing OPA adoption: Your organization already has OPA expertise
Avoid OPA if: Your team lacks declarative programming experience and you only need Terraform governance (Sentinel is easier).
Choose Sentinel When:
- Terraform-focused: 90%+ of your policy needs are Terraform plan validation
- Terraform Cloud/Enterprise user: You already pay for TFC/TFE and want native integration
- HashiCorp ecosystem: You use Vault, Consul, Nomad and want consistent policy across all
- Faster onboarding: Your team prefers imperative languages (Python, Ruby style)
- Enterprise support: You need vendor support from HashiCorp
- Cost governance: You want built-in Terraform cost estimation and limits
Avoid Sentinel if: You need Kubernetes policies, use non-HashiCorp tools heavily, or require open-source licensing.
Can You Use Both?
Yes, and Many Organizations Do
Common pattern:
- Sentinel: Terraform plan validation in Terraform Cloud
- OPA: Kubernetes admission control with Gatekeeper
- OPA: API gateway authorization with Envoy
Each tool plays to its strengths. There's no requirement to pick just one.
Migration Strategies
Migrating from Sentinel to OPA
Why Migrate?
- Moving away from Terraform Cloud/Enterprise
- Need broader policy coverage (Kubernetes, APIs)
- Want open-source licensing
Migration Strategy
- Translate policies: Rewrite Sentinel policies in Rego (no automated converter exists)
- Use Conftest: Run OPA policies against Terraform plans using Conftest
- Test in parallel: Run both Sentinel and OPA during transition period
- CI/CD integration: Replace Terraform Cloud checks with GitHub Actions + OPA
# Example: OPA with Conftest for Terraform
# .github/workflows/terraform-policy.yml
name: Terraform Policy Check
on: [pull_request]
jobs:
policy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Setup Conftest
run: |
wget https://github.com/open-policy-agent/conftest/releases/latest/download/conftest_linux_amd64.tar.gz
tar xzf conftest_linux_amd64.tar.gz
sudo mv conftest /usr/local/bin/
- name: Run Terraform Plan
run: terraform plan -out=tfplan.binary
- name: Convert to JSON
run: terraform show -json tfplan.binary > tfplan.json
- name: Test with Conftest
run: conftest test tfplan.json Migrating from OPA to Sentinel
Why Migrate?
- Adopting Terraform Cloud/Enterprise
- Want native Terraform integration
- Team prefers imperative syntax
Migration Strategy
- Rewrite policies: Translate Rego to Sentinel (manual process)
- Import to TFC: Upload Sentinel policies to Terraform Cloud policy sets
- Test thoroughly: Validate behavior matches OPA policies
- Deprecate OPA gradually: Keep OPA for non-Terraform use cases (K8s, APIs)
Translation Example
OPA Rego
package terraform.tags
import input as tfplan
required_tags := ["Environment", "Owner"]
deny[msg] {
resource := tfplan.resource_changes[_]
resource.type == "aws_instance"
missing := required_tags[_]
not resource.change.after.tags[missing]
msg := sprintf("Instance %s missing tag: %s", [resource.address, missing])
} Sentinel
import "tfplan/v2" as tfplan
required_tags = ["Environment", "Owner"]
main = rule {
all tfplan.resource_changes as address, rc {
rc.type is "aws_instance" implies
all required_tags as tag {
rc.change.after.tags contains tag
}
}
} Final Recommendation
Decision Matrix:
- Kubernetes + Multi-Cloud? OPA (no contest)
- Terraform Cloud/Enterprise only? Sentinel (native integration wins)
- Open-source requirement? OPA (Apache 2.0)
- Team new to policy as code? Sentinel (easier learning curve)
- Complex graph queries needed? OPA (Rego's strength)
- HashiCorp stack (Vault, Consul)? Sentinel (consistency)
Both are production-ready. Your choice depends on your infrastructure stack, team skills, and governance scope.