Why the iqtoolkit Suite Exists

Why Should You Care?

iqtoolkit is a unified, AI-powered database intelligence platform that analyzes query performance across PostgreSQL and MongoDB—automatically. It's built to reduce Mean Time To Recovery (MTTR) during production incidents by using AI to identify issues and recommend fixes instantly.

The bottom line: Stop spending 45 minutes analyzing slow queries and EXPLAIN plans during 2 AM outages. Let AI do that in seconds while you focus on the fix.

Update (Nov 28, 2025): v0.2.2 is now stable with PostgreSQL + MongoDB slow query analysis, configurable Ollama/OpenAI, and Markdown/JSON/HTML reports. Next up: v0.2.3 (Q1 2026) EXPLAIN analyzer; v0.3.0 (Q2 2026) service-ized modules and Hub orchestration.

The Vision: Full correlation of metrics, logs, and query performance across all databases. Current: v0.2.2 — Stable now. Coming 2026: Metrics correlation, log analysis, and unified dashboards.

The 2 AM Production Outage Scenario

Picture this: It's 2 AM. You're groggy, trying to wake up. Your phone is buzzing—production is down.

You jump on your laptop and start the familiar dance:

Open Datadog to check metrics
Switch to logs to find errors
Pull up query stats in another tab
Scroll up and down, trying to see correlations
Hope everything is in the same dashboard (it never is)

Meanwhile, the system is down. Your VP, director, or manager isn't "pressuring you," but they need to know the problem ASAP. The clock is ticking. The company is losing money.

What if there was a better way?

Instead of manually analyzing EXPLAIN plans and aggregation pipelines for 45 minutes, you open iqtoolkit. Within seconds, you see:

AI-powered query analysis identifying the exact bottleneck (sequential scan on 10M rows)
Automatic recommendations with the exact fix: CREATE INDEX users_email_idx ON users(email)
Performance impact prediction showing estimated query time improvement

The AI analyzes your database performance data and presents actionable fixes—all while you're still waking up.

You see the problem clearly. You apply the fix. You solve it before your VP even calls.

(This reflects v0.2.2 capabilities. Full metrics/logs correlation coming in 2026.)

Why I Built iqtoolkit

In all my years as a database professional, I've been challenged countless times to troubleshoot multiple locks, logs, metrics, server status—you name it—all to solve a single problem. This is incredibly time-consuming, especially when the system is down, production is halted, and the company is losing money by the minute.

I wanted to provide database professionals with a tool to correlate this data faster.

What is iqtoolkit?

iqtoolkit is a comprehensive, self-hosted database intelligence platform that provides AI-powered query analysis and performance insights across multiple database types. Currently in development with v0.2.0-alpha launching December 14, 2025.

Multi-Database Analyzer

Unified tool with modules for PostgreSQL and MongoDB (MySQL and SQL Server planned for Q2 2026):

PostgreSQL: EXPLAIN plan analysis, index recommendations, query optimization
MongoDB: Aggregation pipeline optimization, document structure analysis, sharding strategies

IqAI Intelligence Layer

Configurable AI (private Ollama or cloud OpenAI) for instant query analysis.

Example: Upload a slow PostgreSQL query. IqAI analyzes the EXPLAIN plan, detects a sequential scan on 10M rows, identifies the missing index on the email column, and generates the exact CREATE INDEX users_email_idx ON users(email) statement—in under 5 seconds.

Self-Hosted Architecture

Deploy on YOUR infrastructure (Docker, Kubernetes) with no cloud dependencies or vendor lock-in.

Built to solve real production challenges across SQL and NoSQL databases—without privacy compromises. Unified Dashboard (IqToolkitHub) and advanced governance features are planned for future releases.

Why Multi-Database Support Matters

Most AI-powered database tools are PostgreSQL-only. That makes sense—PostgreSQL is powerful and widely adopted. But modern infrastructure is polyglot. You run PostgreSQL in production, MongoDB for your document store, MySQL for legacy systems, SQL Server for enterprise applications.

Each database speaks a different language. Each has different performance challenges. Each requires different expertise.

You shouldn't need five different tools to troubleshoot five databases.

iqtoolkit breaks this down. Query analysis for PostgreSQL, MongoDB, MySQL, and SQL Server all work the same way: connect → analyze → recommend → fix. One platform. One mental model. One workflow.

This is what separates iqtoolkit from pganalyze, pgMustard, and other single-database tools. We're building for the reality of modern operations: multi-database, multi-cloud, multi-everything.

Privacy-First by Design

If you work in healthcare, finance, government, or any regulated industry, you already know the problem: You can't send your database queries to SaaS tools. Compliance teams say no. Security teams say no. Your CTO says no.

iqtoolkit was built for you.

Self-hosted by default. Deploy it on your infrastructure. Your query plans stay on your servers. Your logs stay on your servers. Your metrics stay on your servers. The AI runs locally on an Ollama instance you control, or it connects to OpenAI if you choose—but that choice is yours, not ours.

For regulated industries:

Healthcare (HIPAA): Your patient query data never leaves your infrastructure
Finance (SOC 2, PCI-DSS): Your transaction queries remain on-premises
Government (FedRAMP): Deploy in your secure environment with no external dependencies

This is why iqtoolkit exists: database professionals who need intelligent troubleshooting without compromising on privacy, compliance, or data sovereignty.

Human Intuition + AI Speed = Better Outcomes

Let me be clear: human intuition is always superior to AI. But AI is faster than humans when it comes to correlating data across metrics, logs, and database performance. That's where iqtoolkit comes in.

This tool is meant to be an aid for database professionals—helping us troubleshoot faster and identify how to fix problems. I'm hoping that as these tools grow, they'll be able to predict future problems and detect anomalies before they become critical incidents.

But in no way should we see this tool as a replacement for a DBA.

AI Must Be Kept in Check

You should never trust AI to make the final call for any decision. AI is still unpredictable. But what it can do is free database professionals from the manual, repetitive work—giving us time to do the things we actually want to do.

How many times have you told your manager:

"I wish I could build that automation... implement that architecture improvement... but I don't have time because I have to keep this boat afloat."

That's exactly what I'm trying to solve with iqtoolkit. I want to free ourselves from manual correlation work so we can focus on:

Architecture - Designing better systems
Automation - Building self-healing infrastructure
Engineering - Creating tools that scale
Administration - But with AI assistance, all in one place

AI is Not a Replacement—It's an Assistant

The industry is evolving. Every role in IT is going through an engineering transformation. Everybody has to know a little bit of coding now. Python, Bash, and PowerShell have become indispensable tools.

There was a time when people would say, "I don't do coding—that's not my job."

That's not the case anymore.

With automation, Infrastructure as Code (IaC), everything we do is coded:

Terraform for provisioning
Ansible for configuration
Kubernetes for orchestration
YAML for everything

Automation is critical nowadays, but it requires time. And to have that time, we can't afford to manually:

Jump into Datadog to check metrics
Switch to logs to correlate errors
Look at dashboards side-by-side
Manually connect the dots

Sure, we can build dashboards with metrics and logs side-by-side. But we still have to manually correlate the data. That's where AI helps us. It automates this correlation.

Is it always 100% accurate? No. Is it accurate enough to reduce Mean Time To Recovery (MTTR)? Absolutely.

Don't See AI as Your Enemy—It's Your Ally

In summary, I hope this tool makes our lives easier as database professionals.

Don't see AI as your enemy. See it as your ally.

AI is a train that's not going to stop. Don't step in front of it. Get on the train, and you'll be okay.

iqtoolkit is my attempt to help all of us—database professionals, SREs, platform engineers—ride that train together while keeping control of our craft.

Ready to take back your time? v0.2.0-alpha launches December 14, 2025 with PostgreSQL and MongoDB modules, Docker deployment, Kubernetes Helm charts, and your choice of AI provider (Ollama or OpenAI).

Get early access: Star the iqtoolkit repo on GitHub to follow v0.2.0 development and be notified when alpha testing opens.

Want to contribute or discuss database architecture and AI integration? Connect with me on LinkedIn.