TL;DR
- HashiCorp Vault is the gold standard for secrets at scale — but it requires a dedicated operator to run and is overkill for most teams.
- For startups and mid-size teams, Doppler or Infisical give 80% of the value with 10% of the setup.
- If you are on AWS, AWS Secrets Manager integrates natively and needs no extra infrastructure.
What makes Vault powerful — and complex
HashiCorp Vault is a battle-tested secrets engine used by large enterprises. It supports dynamic secrets (generates database credentials on demand and expires them automatically), PKI, transit encryption, and fine-grained policies via its own ACL language. It can run on-prem, in Kubernetes, or as HCP Vault (managed cloud).
The cost is operational complexity: Vault requires a high-availability cluster, regular seal/unseal management, and someone who knows its configuration model. Most teams under 50 engineers do not need it.
Alternatives at a glance
| Tool | Best for | Self-host | Pricing |
|---|---|---|---|
| HashiCorp Vault | Large enterprises, dynamic secrets | Yes | Free OSS / HCP from $0.03/hr |
| Doppler | Teams that want zero ops overhead | No (SaaS) | Free up to 5 users / $7/user |
| Infisical | Data sovereignty, open source | Yes | Free OSS / Cloud from $6/user |
| AWS Secrets Manager | AWS-native teams | Managed | $0.40/secret/month + API calls |
| 1Password Secrets | Teams already on 1Password | No (SaaS) | From $19.95/team/month |
Doppler — best for most teams
Doppler is a SaaS secrets manager with a clean UI, CLI, and native integrations for Vercel, GitHub Actions, Kubernetes, Railway, and more. Secrets are encrypted at rest (AES-256) and in transit. The free tier covers up to 5 users and is sufficient for small teams.
What Vault has that Doppler doesn't: dynamic secrets, PKI, transit encryption, and self-hosting. If you don't need those, Doppler is faster to ship with.
Infisical — open-source Doppler alternative
Infisical is the open-source alternative to Doppler. You can self-host it on your own infrastructure (Docker Compose, Kubernetes Helm chart), which is important for teams with data residency requirements or air-gapped environments. The cloud-hosted version is competitively priced.
Feature parity with Doppler is close: dashboard, CLI, CI integrations, audit logs, access control. Infisical also supports secret versioning and rollback natively.
AWS Secrets Manager — for AWS-native stacks
If your infrastructure is already on AWS (ECS, Lambda, EKS), AWS Secrets Manager integrates without any extra infrastructure. Secrets are retrieved via the AWS SDK, injected into Lambda environment automatically, and support automatic rotation for RDS passwords out of the box.
The pricing model ($0.40 per secret per month) can get expensive if you have hundreds of secrets. AWS Systems Manager Parameter Store is a cheaper alternative for non-sensitive config (free for standard parameters, $0.05/month for advanced).
1Password Secrets Automation
If your team already uses 1Password as a password manager, 1Password Secrets Automation lets you reference vault items in CI and deployment pipelines via the op CLI or the 1password-action GitHub Action. It is not a general-purpose secrets manager but works well as a bridge between the human password vault and automated systems.
When Vault is actually the right answer
- You need dynamic database credentials (Vault generates a new Postgres user per connection, revokes on expiry)
- You have a dedicated platform team who will maintain the Vault cluster
- Compliance requires on-prem storage with FIPS 140-2 validated encryption
- You need the transit secrets engine to encrypt/decrypt application data without managing keys in code
Migration path away from Vault
If you inherited a Vault setup and want to simplify: export static secrets with vault kv get -format=json, import them into Doppler or Infisical, update your CI pipelines to use the new CLI, and decommission Vault once all consumers are migrated. Dynamic secrets have no direct equivalent — you will need to switch to long-lived credentials if you drop Vault for those use cases.