Governed database access for people and agents
LakeGate places identity and policy in front of databases and data engines. Start by replacing one shared-credential workflow with scoped, reviewable access.
Relevant capabilities
- Identity-provider sign-in and role-based access
- OPA policy decisions and query guardrails
- Query logging across integrated engines
How should you compare the options?
- Which users and workload identities require which tables and columns?
- Does the existing client protocol and engine combination work in your deployment?
- How are query limits, audit retention and emergency access controlled?
What should you bring?
- Database engines and client tools
- Identity groups and access matrix
- Representative allowed and prohibited queries
What does a practical first workflow look like?
- Map one access path and remove ambiguity about the permission owner.
- Configure a pilot role and explicit allow/deny policies.
- Test legitimate queries, blocked queries and access revocation before expansion.
What should you check before expanding?
- Verify denials as carefully as successful queries.
- Reconcile query logs with the originating identity.
- Keep an emergency access and rollback procedure.
How should you evaluate the cost?
Compare the cloud bill, platform charges, operating effort and migration work for the same workload. Cloud capacity is not free. Charges and scope need agreement before paid deployment.
What needs checking before switching?
AWS and Google Cloud are available today; other deployment environments are roadmap. Preserve the existing workload and access path until compatibility, recovery and cutover checks pass.