AI Employee · Database Engineering & Query Optimization

Meet Your AI Database Performance Tuner
That Never Clocks Out

Stop database CPU spikes and slow query firefighting. Connect PostgreSQL, MySQL, Snowflake, Datadog DBM, and AWS RDS — it parses EXPLAIN ANALYZE query plans, identifies missing composite indexes, detects ORM N+1 loops, and opens zero-downtime GitHub migration PRs 24/7.

Hire Your AI Database Tuner Book a Postgres / RDS Demo
DB
RhinoAgents AI Database Performance Tuner
Online · Monitoring 28 Production DB Instances & pg_stat_statements
You
Postgres RDS CPU in us-east-1 just hit 94%. Audit pg_stat_statements, find the offending query, and generate the index migration.
DB
Analyzing top 10 queries by total execution time in pg_stat_statements and running EXPLAIN (ANALYZE, BUFFERS)…
Seq Scan on 14.8M Rows Found 4,800ms Query $\rightarrow$ 12ms Benchmark Migration PR #512 Ready
DB
Slow Query Tuned & Migration Ready in 22 seconds:
• Offending Query: SELECT * FROM audit_logs WHERE organization_id = $1 AND created_at >= $2 ORDER BY id DESC (Called 820 times/min).
• Bottleneck: Full Table Sequential Scan reading 14,820,000 rows into shared memory buffers.
• Proposed Solution: Composite B-Tree index on (organization_id, created_at DESC).
• GitHub PR #512: Created zero-downtime migration: CREATE INDEX CONCURRENTLY idx_audit_logs_org_created ON audit_logs (organization_id, created_at DESC); (Drops execution time by 99.7%).
View Migration PR #512 Execute Index Concurrently View RDS CPU Graph
Zero Database Outages

An Autonomous Principal DBA, Not Just a Monitoring Graph

Monitoring dashboards only alert you when database CPU reaches 100%—leaving backend engineers to manually decode cryptic EXPLAIN plans, test indexes locally, and write SQL migrations during an outage. Your AI Database Tuner writes the zero-downtime index migration in seconds.

Sub-30s EXPLAIN Plan Deconstruction

Isolates sequential scans, nested loop spills, and missing composite indexes with exact performance gain percentages.

Zero-Downtime Migration PRs

Generates safe CREATE INDEX CONCURRENTLY and safe batch migration pull requests in GitHub and GitLab.

Manual Query Tuning vs. AI Database Performance Tuner
❌ Manual DBA & Query Tuning
✅ AI Database Performance Tuner
Hours spent decoding dense EXPLAIN ANALYZE trees
<30 seconds automated execution plan diagnosis
Unindexed queries cause 99% CPU RDS outages
Proactive missing index detection before traffic spikes
Dangerous table locks block production web requests
100% safe zero-downtime CONCURRENT migration SQL
ORM N+1 query loops hidden in application code
Automatic N+1 detection with eager-loading PR fixes
$160k+/year salary per Principal Database Administrator
24/7 continuous database tuning at a flat predictable fee
Setup in 15 Minutes

Connected to Your Database Fleet in 4 Steps

Link your database instances via read-only statistics credentials with zero impact on production latency.

1
Connect Database Stats
Provide read-only credentials to pg_stat_statements, MySQL Performance Schema, or Datadog DBM.
Read-Only Stat
2
Attach GitHub Repos
Connect your application and database migration repositories for automated pull request creation.
Migration Repo
3
Set Performance Thresholds
Define query execution time alerts (>100ms), lock wait thresholds, and CPU trigger limits.
SLA Guardrails
4
Autonomous Optimization
AI tunes slow queries, recommends composite indexes, and submits zero-downtime PRs 24/7.
Auto Tuner
Live Dialogues

See Exactly How It Tunes Production Databases

Explore real interactions across Postgres execution plans, Django ORM N+1 optimizations, and deadlock mitigation.

DB
AI Database Performance Tuner • Live Postgres & GitHub Sync
BACKEND DEV
"Why is /api/v1/invoices taking 3,800ms to load for enterprise customer dashboards?"
DB
EXPLAIN ANALYZE Execution Diagnostic:
• Query: SELECT * FROM invoices WHERE tenant_id = $1 AND status = 'unpaid' ORDER BY due_date ASC.
• Issue: Postgres is performing a Seq Scan on 8.2M rows because index idx_invoices_tenant lacks status and due_date.
• Fix: Created PR #319 with zero-downtime index: CREATE INDEX CONCURRENTLY idx_invoices_tenant_status_due ON invoices (tenant_id, status, due_date ASC);.
• Benchmark: Query runtime drops from 3,820ms $\rightarrow$ 8.4ms (99.7% faster).
BACKEND DEV
"Check our Node.js GraphQL API for ORM N+1 query loops."
DB
Prisma N+1 Loop Detected:
• Resolver: userResolver.ts:54 executes 1 query for users followed by 250 individual SELECT * FROM user_profiles WHERE user_id = $1 queries.
• Fix Applied: Refactored to batch eager-loading: prisma.user.findMany({ include: { profile: true } }).
• Result: Reduced database roundtrips from 251 calls $\rightarrow$ 1 single JOIN query. PR #321 opened.
ON-CALL SRE
"Multiple transactions on table orders are hanging with lock wait timeouts."
DB
Lock Contention Isolated:
• Blocking Query (PID #8841): Long-running analytics export query holding an ExclusiveLock for 18 minutes.
• Impact: 42 web application checkout threads blocked in queue.
• Action Taken: Recommended termination of PID #8841 and configured idle_in_transaction_session_timeout = '15s' to prevent future deadlocks.
You
Audit table bloat on our high-write events table.
DB
✅ Table analytics_events contains 4.8 GB of dead tuples (62% table bloat).
✅ Tuned table-level autovacuum settings: autovacuum_vacuum_scale_factor = 0.05 and autovacuum_cost_limit = 2000.
✅ Reclaimed 4.8 GB of SSD storage and restored sequential read IOPS.
Enterprise Feature Mapping

Every Database Tuning Workflow. Powered by RhinoAgents.

Your AI Database Performance Tuner is powered by our enterprise control plane and autonomous SQL query optimization runtime.

Database Bottleneck
Unindexed sequential scans peg database CPU to 100%, causing cascading web application outages.
Automated Index Generator
Calculates optimal composite, partial, and GIN indexes and tests them against execution plan models.
>90%
drop in average query execution time for tuned queries
Database Bottleneck
Developers write ORM code that accidentally triggers hundreds of N+1 database queries per request.
ORM N+1 Radar & Refactor
Detects repetitive query loops across Django, Prisma, and ActiveRecord, opening batch-loading PRs.
98%
reduction in database query roundtrips for optimized API endpoints
Database Bottleneck
Index creation locks large production tables, taking down active web traffic.
Zero-Downtime Migrations
Formats all SQL migrations with safe concurrent flags (`CREATE INDEX CONCURRENTLY`) to eliminate table locks.
0 sec
table locking downtime during database index deployments
Full Capability Set

Everything a Principal Database Administrator Does. Automated.

From slow query deconstruction to zero-downtime index migration PRs, your AI employee covers the entire database performance lifecycle.

EXPLAIN Plan Deconstruction
Parses complex execution plan trees, isolating expensive buffer reads, disk spills, and sequential scans in <30s.
EXPLAIN ANALYZEBuffer ReadsDisk Spills
Zero-Downtime Index PRs
Generates safe concurrent index creation migrations in GitHub/GitLab to prevent production table locks.
CONCURRENTLYGitHub PRSafe Migrations
ORM N+1 Query Elimination
Identifies repetitive query loops across Django, Prisma, Hibernate, and ActiveRecord, generating eager-loading patches.
PrismaDjango ORMActiveRecord
Deadlock & Row Lock Shield
Monitors lock contention trees in real time, alerting on blocking PIDs and recommending optimistic lock patterns.
Row LocksDeadlock AlertKill Blocking PID
Autovacuum & Bloat Optimizer
Calculates dead tuple percentages, reclaims SSD storage, and fine-tunes autovacuum cost limits per table.
Table BloatAutovacuumSSD Reclaim
Connection Pool & Proxy Tuning
Audits PgBouncer and RDS Proxy connection pools to prevent backend client exhaustion during traffic surges.
PgBouncerRDS ProxyPool Limits
Human-in-the-Loop

Full Speed. Full Database Governance.

Your AI Database Performance Tuner models execution plans and drafts migration PRs autonomously, but requires human engineer review before any schema modification executes on production.

1

Slow Query Detected & Benchmarked

Query execution plan parsed, missing index synthesized, and speedup benchmarked.

2

Safe Migration PR Opened

Generates a zero-downtime CONCURRENT index migration in your repository.

3

1-Click Developer Sign-Off

Backend engineers review the SQL diff and click Approve & Merge in GitHub.

Slack Notification • #database-performance
⚡ Query Optimization Ready (PR #512):
• Table: audit_logs (14.8M rows) | Query Time: 4,800ms $\rightarrow$ 12ms
• Migration: CREATE INDEX CONCURRENTLY idx_audit_logs_org_created ON audit_logs (organization_id, created_at DESC);
• Impact: Estimated 68% reduction in total database CPU utilization.
Integrations

Connects to Your Entire Database & Cloud Stack

Native 2-way connectors for relational engines, cloud data warehouses, monitoring tools, and migration repositories.

PostgreSQL MySQL Snowflake MongoDB Datadog DBM AWS RDS PgBouncer GitHub & GitLab Slack & Teams
Real-Time Observability

Complete Database Health & Speedup Visibility

Track p99 database latency drops, CPU utilization savings, slow query resolution velocity, and active connection pool utilization in real time.

AI Database Performance & Query Speed Dashboard
94.2%
Average Latency Drop
-58%
Production DB CPU Load
0 sec
Table Lock Downtime
Enterprise Security

Zero-Trust Database Security & Read-Only Query Metadata

Built with SOC 2 Type II controls, scoped read-only statistical table access, and zero access to customer PII.

Zero Access to Raw Data
Only requires read access to execution plan metadata and statistical tables (pg_stat_statements).
SOC 2 Type II Certified
Enterprise security controls guarantee your proprietary schema definitions and SQL queries remain confidential.
Scoped Read-Only Roles
Connects via dedicated read-only Postgres/MySQL roles with zero ability to drop tables or modify production data.
Frequently Asked Questions

Everything Database & Backend Leaders Need to Know

Clear answers on read-only permissions, zero-downtime index creation, ORM N+1 fixes, and security.

Does the AI have access to our actual customer data?
No. The AI only needs access to database statistical views (e.g. pg_stat_statements in Postgres or performance_schema in MySQL) and query execution plans via EXPLAIN. It never reads or stores raw table rows or customer PII.
How does it ensure index creation doesn't lock tables during production traffic?
All generated migration SQL uses safe, non-blocking zero-downtime syntax—such as CREATE INDEX CONCURRENTLY in PostgreSQL and ALGORITHM=INPLACE, LOCK=NONE in MySQL—ensuring read and write operations continue without interruption.
Which ORMs and backend frameworks are supported?
Supports all major ORMs and query builders: Prisma, TypeORM, Drizzle, Django ORM, SQLAlchemy, Ruby on Rails ActiveRecord, Hibernate, and raw SQL queries.
How long does onboarding take?
Creating a read-only database user and connecting Datadog DBM or AWS RDS Performance Insights takes under 15 minutes. Slow query analysis begins immediately.
Eliminate Database CPU Spikes

Deploy Your AI Database Performance Tuner

Connect your database in 15 minutes to achieve instant slow query tuning and zero-downtime index migrations 24/7.

Deploy AI Database Tuner Schedule Database Demo