Values - Timeline - Mission
About Burnside Project
Burnside Project helps teams turn PostgreSQL into governed analytical intelligence — powering local-first analytics, AI-safe workflows, and operational visibility.
Our Origin Story
Our Mission
Replace reactive database monitoring with behavior-driven prediction, giving organizations time to act before outages, degradation, and cost spikes impact the business.
Our Story
Burnside Project started from a simple observation: production PostgreSQL data is locked behind operational risk.
Analysts can’t safely query production. AI agents shouldn’t have direct database access. Engineering teams are forced to choose between operational safety and fast analytical workflows.
We built Burnside Project to change that.
Our platform streams governed PostgreSQL and partner data into local-first analytical workflows using open formats like Parquet and Iceberg — giving teams safe, reproducible access to operational intelligence without adding warehouse complexity or exposing production systems.
Built by engineers who have operated real production systems, Burnside Project focuses on developer-first workflows, governed data access, and practical infrastructure that teams can adopt incrementally.
Our Values
The principles that guide everything we do
Build Intelligence
Make production databases self-aware—capable of predicting failure, adapting to change, and operating reliably at scale. We learns the normal operating behavior of each databases and detects when that behavior begins to drift toward failure.
Innovation
We believe innovation means solving real problems — not adding noise. We push beyond reactive monitoring by applying machine learning, behavioral modeling, and systems thinking to anticipate issues before they impact production.
Transparency
Trust is built through clarity. Every insight we deliver is explainable — showing what changed, why it matters, and how conclusions were reached — so teams can act with confidence.
Resilience
Resilience isn’t about reacting faster — it’s about preventing failure. We design systems that learn, adapt, and withstand change, helping teams stay ahead of instability in dynamic production environments.
Sustainability
Sustainability starts with efficiency. By predicting instability and eliminating waste before it happens, we help teams run leaner systems — using less compute, fewer resources, and avoiding unnecessary scale and outages.
Customer Empowerment
We empower teams with insight, not dependency. By making system behavior transparent and predictions explainable, we give customers the knowledge and confidence to make their own informed decisions — without black boxes or vendor lock-in.
Our Journey
Key milestones in our company's growth and evolution
Milestone
Origin Story: Built for Myself First
While operating a production e-commerce MySQL database, I encountered recurring midday utilization spikes that traditional monitoring couldn’t explain. Diving into MySQL’s internal observability signals — connection states, query execution patterns, buffer pool behavior, and lock dynamics — revealed a rich but underused source of truth about database health. These built-in signals are the holy grail of MySQL reliability, and when modeled together with AI, they enable early detection of behavioral drift and prediction of failure before performance degrades or revenue is impacted.
Milestone
Origin Story: Built for Myself First
While operating a production e-commerce MySQL database, I encountered recurring midday utilization spikes that traditional monitoring couldn’t explain. Diving into MySQL’s internal observability signals — connection states, query execution patterns, buffer pool behavior, and lock dynamics — revealed a rich but underused source of truth about database health. These built-in signals are the holy grail of MySQL reliability, and when modeled together with AI, they enable early detection of behavioral drift and prediction of failure before performance degrades or revenue is impacted.
Milestone
Idea Incubation
The concept emerged from deep technical exploration of streaming data platforms while working with large enterprise organizations, revealing new opportunities at the intersection of real-time data and applied AI. Based on that realization, we published multiple thought-leadership blog posts to validate the market interest and refine positioning.
Milestone
Proof of Concept works
The proof of concept demonstrates disciplined cloud execution — proving predictive value with a cloud-agnostic design while tightly controlling infrastructure and storage costs. In parallel, we published multiple thought-leadership articles to test market interest and validate go-to-market messaging.
Milestone
Proof of Concept works
The proof of concept demonstrates disciplined cloud execution — proving predictive value with a cloud-agnostic design while tightly controlling infrastructure and storage costs. In parallel, we published multiple thought-leadership articles to test market interest and validate go-to-market messaging.
Milestone
Infra Built
The platform infrastructure prioritizes cost-efficient cloud agnostic design, reducing storage overhead while enabling scalable deployments across managed and self-managed PostgreSQL environments.
Milestone
Beta Testing
Beta testing focuses on validating a lightweight collector agent across macOS and Linux, with PostgreSQL 14+ compatibility and end-to-end real-time pipeline verification.
Milestone
Beta Testing
Beta testing focuses on validating a lightweight collector agent across macOS and Linux, with PostgreSQL 14+ compatibility and end-to-end real-time pipeline verification.
Milestone
Provisioning for Cloud Marketplace
Provisioning for Cloud Marketplace focuses on automated, secure, and scalable onboarding, ensuring that once a customer subscribes via a marketplace listing, the platform can automatically.Provision required cloud resourcesEstablish secure connectivityApply licensing and entitlementsActivate the service without manual interventionThis milestone is a critical step toward enterprise-ready distribution, self-serve adoption, and revenue scalability.
Milestone
Beta Release edge agent pg-collector
pg collector released
Milestone
Beta Release edge agent pg-collector
pg collector released
Milestone
pg-collector Public Local Collector Beta Released
PG Collector is the edge compute agent in our AI-powered observability pipeline. It extracts PostgreSQL metrics at the edge and streams them to our cloud infrastructure (AWS + GCP), where Claude 3.5 Haiku analyzes patterns and predicts issues before they impact your users. pg-collector local public beta
Milestone
pg-warehouse Released
Getting data out of PostgreSQL for analytics or ML usually means stitching together Python scripts, cron jobs, and a cloud warehouse you don't need. pg-warehouse replaces that with a single binary: sync tables into an embedded DuckDB, build versioned analytical releases, and export to Parquet or CSV. Everything runs locally, on your machine, with no external dependencies.
Milestone
pg-warehouse Released
Getting data out of PostgreSQL for analytics or ML usually means stitching together Python scripts, cron jobs, and a cloud warehouse you don't need. pg-warehouse replaces that with a single binary: sync tables into an embedded DuckDB, build versioned analytical releases, and export to Parquet or CSV. Everything runs locally, on your machine, with no external dependencies.
Milestone
pg-collector Public Beta Released
pg-collector is a lightweight edge compute agent that extracts PostgreSQL telemetry and delivers it to configurable destinations—locally for evaluation, or streamed to cloud platform where AI LLM analyzes patterns and predicts issues before they impact your users. Public Beta Released
Milestone
pg-stress Public Beta Released
A one-off stress testing platform for any PostgreSQL database. No models to write. No queries to define. No schema to configure. Point it at your database — pg-stress introspects the schema, discovers relationships, classifies tables, and generates realistic ORM and SQL load patterns automatically. After the test, feed the results to Claude for tuning advice, query fixes, and capacity predictions. pg-stress git repo
Milestone
pg-stress Public Beta Released
A one-off stress testing platform for any PostgreSQL database. No models to write. No queries to define. No schema to configure. Point it at your database — pg-stress introspects the schema, discovers relationships, classifies tables, and generates realistic ORM and SQL load patterns automatically. After the test, feed the results to Claude for tuning advice, query fixes, and capacity predictions. pg-stress git repo
Call to action
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