Not sure where to start?

The Database Ninja team can assess your current database landscape and build a roadmap tailored to your goals. Oracle, PostgreSQL, MySQL, or SQL Server, we speak all major database platforms.

Oracle

Deep expertise across Oracle AI Database 26ai, 19c, Exadata, ODA, RAC, Data Guard, and GoldenGate. We have managed Oracle estates at every scale.

26ai19cRACData GuardExadata

PostgreSQL

Production PostgreSQL engineering with pgvector for AI workloads, logical replication, and high availability through Patroni.

pgvectorPatroniReplicationPgBouncer

MySQL

MySQL and MariaDB performance tuning, InnoDB Cluster high availability, Group Replication, and migration planning at production scale.

InnoDB ClusterGroup ReplicationMariaDB

SQL Server

SQL Server performance optimization, Always On Availability Groups, Azure SQL migrations, and cross-platform moves to PostgreSQL or Oracle.

Always OnAzure SQLSSIS
All Services
Operations

Make slow databases fast. Keep them that way.

The Database Ninja team brings deep performance engineering expertise across Oracle, PostgreSQL, MySQL, and SQL Server. Query tuning, index strategy, capacity planning, and plan stability. AI-augmented analysis backed by senior engineers who know what to do with the data.

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Database Performance Tuning

Performance work backed by evidence, not guesswork.

PEAK

Database performance is the area where most teams give up too easily. Queries get slow, the team adds hardware, the symptoms come back, and eventually everyone accepts the database is "just slow". The Database Ninja team treats performance as a solvable engineering problem, not a fact of life.

We start with workload analysis using your real query telemetry. We identify the queries that actually consume resources, the indexes that exist but are never used, the plans that flip under load, and the schema decisions that are quietly sabotaging throughput. Then we fix them, methodically, one at a time, with measurements before and after.

AI accelerates the analysis. We use machine learning models trained on production telemetry to spot anomalies, classify query patterns, and suggest tuning interventions. But every recommendation is reviewed by a senior engineer before it touches your environment.

What performance tuning includes.

Workload Analysis

Deep statistical analysis of your real query patterns. We rank queries by total resource consumption, not just slowest single execution.

Query Optimization

Hand-tuned execution plans for the queries that matter most. Index recommendations, hint application, and rewrites where appropriate.

Index Strategy

Identification of unused, redundant, and missing indexes. Bulk cleanup with measured before/after impact.

Capacity and Configuration

Memory sizing, parallelism settings, connection pool tuning, and storage layer optimization.

Plan Stability

Plan baselines, plan guides, and Query Store policies that keep good plans good across upgrades and statistics changes.

Continuous Monitoring

Ongoing telemetry and regression detection. We catch performance drift before it becomes a customer-visible incident.

Why our performance work delivers.

Methodology over magic

We follow a structured tuning methodology with measurements at every step. No silver bullets, no mystery improvements that disappear under load.

AI-accelerated analysis

Machine learning helps us spot patterns in operational data that a human analyst would miss. Senior engineers decide what to do about them.

Multi-platform mastery

Oracle SQL tuning is not the same as PostgreSQL EXPLAIN analysis is not the same as SQL Server Query Store. We are fluent in all of them.

Get your databases running at peak.

Tell us what is slow, what you have already tried, and what your latency targets are. We will scope a performance engagement that fits.