AI-assisted diagnostics for SAP HANA

Turn SAP HANA diagnostics into a clear action plan.

Analyze execution plans, expensive statements, and runtime metrics. Review likely causes and proposed remediation—with your DBA in control.

Recommendations only. No automatic production changes.

DB Performance Copilot for SAP HANA

Illustrative workflow · Synthetic data

Website illustration

Incident overview

Query-duration review

Synthetic case DEMO-001

Statement reference

STMT-DEMO-01

Illustrative statement · no live connection

Execution-plan comparison

Baseline plan ↔ Affected plan

Compare plan structure, operator runtimes, and row estimates.

Working hypothesis

A plan change may be contributing to increased query duration.

Recommended validation

Compare the affected and baseline plans, operator runtimes, and row estimates before selecting a remediation.

Supporting evidence

Execution plans · baseline and affected

Expensive statement logs · relevant sample

Runtime metrics · operator and row estimates

Proposed SQL

Placeholder

-- Proposed SQL appears here after diagnostic review.

Review status

Awaiting DBA review.

A clearer path from evidence to action.

DB Performance Copilot for SAP HANA brings a structured review to your database-performance cases.

Evidence in one place

Bring relevant execution plans, expensive statements, and runtime metrics into a single diagnostic review.

Explain likely causes

Connect suspected bottlenecks to supporting evidence and identify what still needs verification.

Prepare the next action

Present recommended checks and proposed remediation for senior DBA review.

From diagnostics to a DBA decision.

Collect diagnostics → Analyze evidence → Review recommendations → DBA decides.

  1. Collect diagnostics

    Bring together execution plans, expensive statement logs, and runtime metrics.

  2. Analyze evidence

    Compare the available evidence and surface likely causes that need verification.

  3. Review recommendations

    A senior DBA reviews the supporting evidence, proposed checks, and remediation.

  4. DBA decides

    Production execution happens separately, using existing database tools and your change-control process.

AI assists. Your DBA decides.

Review the evidence, challenge the diagnosis, and approve the next action. The copilot does not execute remediation against production databases.

Review the evidence

Inspect the diagnostics behind each working hypothesis.

Challenge the diagnosis

Validate the likely cause and decide which checks are needed.

Control the next action

Your DBA independently executes approved changes through existing database tools.

Define the deployment around your security requirements.

Pilot scoping covers hosting region, network boundaries, access controls, data handling, retention, and audit requirements.

Managed EU hosting

An option to assess during scoping, including region, operating responsibilities, and data handling.

Customer-controlled cloud

An option to assess against your network boundaries, access model, and infrastructure requirements.

Agree the requirements

Assess deployment fit, retention, access controls, and audit needs before agreeing the pilot scope.

Evaluate the workflow against your SAP HANA cases.

A focused, paid 14–30-day pilot to assess diagnostic usefulness, DBA review effort, and deployment fit before a broader rollout.

  • Agreed diagnostic cases and baseline
  • Configured evaluation workflow
  • DBA-reviewed findings and recommendations
  • Results review and rollout proposal

Fixed scope · Paid enterprise evaluation · 14–30 days

Contact us about a pilot