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

AI Platform

Know exactly where you stand before you commit to AI.

The Database Ninja team measures your data quality, infrastructure maturity, team capability, and business alignment. You walk away with a scored readiness report and a concrete action plan.

Learn more

Overview

A rigorous, evidence-based look at your AI readiness.

Most organizations start AI projects without an honest picture of whether their data platform can support them. The result is months of work on pilots that never reach production, or worse, production systems that expose quality problems no one saw coming.

The Database Ninja team runs a structured assessment across six dimensions: data quality, data architecture, infrastructure, governance, team capability, and use case alignment. We combine automated profiling of your database estate with interviews of your engineering and business stakeholders.

The output is a scored report you can present to leadership, a prioritized roadmap of what to fix first, and a clear recommendation on which AI use cases are worth pursuing right now versus which need foundational work first.

What's Included

What you get in an AI Readiness engagement.

Data Quality Profiling

Automated analysis of completeness, consistency, and validity across the tables that matter most to your AI use cases.

Architecture Review

We evaluate your schema design, query patterns, and storage strategy against the demands of vector search, RAG, and inference workloads.

Governance and Lineage Audit

Where does your data come from, who touches it, and can you explain it to a regulator. We map the gaps.

Team Capability Assessment

Honest conversations with your DBAs, data engineers, and platform owners. Where you are strong, where you need help.

Infrastructure Sizing

GPU, memory, storage, and network capacity against your projected AI workloads. No surprises at production time.

Prioritized Roadmap

A concrete plan that ranks fixes by impact and effort, so you know exactly what to tackle first.

Why Database Ninja

Why Database Ninja runs this assessment.

Database-native perspective

Most AI readiness assessments come from consultants who have never tuned a database. We come from the other direction. We know what the data platform can and cannot do.

Cross-platform expertise

Oracle, PostgreSQL, MySQL, SQL Server. We evaluate every engine on its own terms. No bias toward a single vendor.

Concrete, not academic

You get a report you can act on tomorrow. No abstract maturity frameworks. Just the specific things you need to fix, in the order you need to fix them.

Ready to start?

See exactly where you stand.

A Database Ninja readiness assessment typically takes two to four weeks depending on the size of your estate. Let us know what you are trying to achieve and we will scope it.