No dashboards. Just pull requests.

The AI Database Engineer
that lives in your Repo

Catches slow queries, traces them to code, opens Pull Requests to fix them.

Postgres
Repo Trace
Pull Request
Generating PR…
@datapace-botwants to mergeOpen

Conversation
Analyzing query metadata…
Files changed
migrations/001_add_users_email_index.sql+2 lines
Preparing diff on a clone…
Estimated Impact
Query time
Affected queries

The Confidence Loop

Other tools give you dashboards. Datapace gives you tested Pull Requests.

1

The Link

Correlates pg_stat_statements with source code to trace expensive queries to exact file and line.

2

The Virtual Stage

Tests fixes on thin database clones. Never runs untested commands on production.

3

The PR

Pushes verified code for review. You merge when ready.

From slow query to exact line of code

Traces performance issues back to the exact line in your repository.

Step 1
Issue Detected
Query
SELECT * FROM users
WHERE email = ?
Time400ms
Step 2
Traced to Code
Location
auth_controller.ts:42
41 async function loginUser(email) {
42const user = await db.query(sql)
43 return user
Step 3
Fix Generated
Migration
CREATE INDEX CONCURRENTLY
idx_users_email
ON users(email);
Time2ms

Active agents, not passive tools

Finds the code, writes the fix, opens the Pull Request.

Code-Level Blame

Identifies the exact commit and line of code behind the slowdown. No more guessing which query is causing problems.

user_controller.ts:42

Index Auto-Pilot

Detects missing indexes and writes migrations. Safe, tested, ready to merge.

Resource Guardrails

Blocks PRs that introduce N+1 queries or expensive patterns before production.

Your data never leaves your VPC

Datapace runs as a Docker agent in your infrastructure. We only receive anonymized query metadata—never your actual data.

Your VPC
Your app
Services
Database
Postgres / MySQL
Datapace agent
Docker • read-only
Metadata stream
Datapace
Datapace Cloud
AI analysis
Your git repo
Pull request

Self-Hosted Agent

Runs as Docker container in your VPC. You control updates and networking.

Zero Data Extraction

We never see passwords, PII, or table data. Only anonymized performance signals.

Twin Verification

Fixes verified on ephemeral statistical models. Production data is never copied or at risk.

Read-Only Access

The agent connects with read-only credentials and cannot modify your database.

Native support for the modern stack

Works with any PostgreSQL.

Connects to

Integrates with

Simple, transparent pricing

Start for free. Upgrade to automate the fix.

Community

$0/ forever

For individual developers

  • 1 Project (Repo + DB)
  • 3-Day History
  • Automatic Detection: We flag slow queries in pull requests
  • Code Tracing: SQL linked back to source code (user.ts:42)
  • Metadata-Only Analysis: No table data, no PII
  • Manual Fixes: We show the SQL — you apply it yourself
Popular

Pro

$49/ month

For teams

  • Up to 5 Projects (microservices-ready)
  • 30-Day History
  • Auto-Fix PRs: Bot writes migration code for you
  • Digital Twin Simulation: Fixes validated offline before merge
  • Bloat Alerts: Proactive storage & cost warnings
  • Priority Support: Slack / Email

Includes a generous monthly automation allowance.

Enterprise

Custom

Compliance, scale, and full control

  • Unlimited Projects
  • Unlimited History
  • Self-Hosted Agent: Run inside your own VPC (Docker)
  • SSO & RBAC: Okta / Google
  • Audit Logs: Every suggestion & merge tracked
  • SLA: Guaranteed uptime & response times

Why teams upgrade

Fix Generation

CommunityYou write it
ProBot writes it
EnterpriseBot writes it

Fix Verification

CommunityNone
ProDigital Twin
EnterpriseDigital Twin

Data Privacy

CommunityCloud (metadata)
ProCloud (metadata)
EnterpriseVPC / Self-Hosted

Join the Waitlist

Be among the first to experience the AI Database Engineer that opens Pull Requests to fix slow queries, N+1s, and costly scans.

Frequently asked questions

Have a different question? Get in touch with our team.

Product

Security & Safety

Technical

Pricing

Still have questions?

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