The Mission
Why iqtoolkit Exists
PostgreSQL-dedicated. Built from a decade of real Database professional pain — not theoretical use cases.
The Problem
After more than a decade of manually diagnosing slow queries, building monitoring dashboards, and tuning database performance in production environments, it became clear: database teams are drowning in metrics but starving for actionable intelligence.
Existing tools surface raw data — wait events, query plans, lock chains — but leave the interpretation entirely to you. Every incident means hours of context switching between dashboards, documentation, and tribal knowledge. That cost scales poorly and burns out senior engineers.
PostgreSQL in particular — with its rich ecosystem of extensions like TimescaleDB, CloudNativePG, and pgvector — deserves a diagnostic tool that speaks its language natively, not a generic multi-database wrapper.
The Solution
iqtoolkit is dedicated exclusively to PostgreSQL — bringing AI-powered diagnostics without cloud dependencies, vendor lock-in, or privacy compromises. Every feature is built from actual Database professional pain points.
By focusing solely on PostgreSQL, iqtoolkit can go deeper: understanding explain plans, time-series patterns with TimescaleDB, vacuum behavior, replication lag, and extension-specific signals that generic tools simply cannot reason about.
PostgreSQL-dedicated
Built for PostgreSQL and its ecosystem — TimescaleDB, pgvector, CloudNativePG, Zalando operator, and more.
No cloud dependencies
Runs entirely on-prem via Docker or Kubernetes. Your query data never leaves your infrastructure.
Privacy first
Local LLM inference via Ollama means sensitive schema and query data stays internal.
The Vision
Make PostgreSQL intelligence accessible to every operations team — regardless of budget, cloud provider, or infrastructure complexity.
Whether you're running a single Postgres instance on a $10 VPS, a TimescaleDB hypertable on a Kubernetes cluster, or a multi-tenant CNPG setup, iqtoolkit should give your team the same diagnostic power that previously required a dedicated DBA with 10+ years of PostgreSQL experience.
Ready to see it in action?
Meet the creator, explore the roadmap, or jump straight into the docs.