Data & analytics · AI
AI-powered analytics without the data complexity.
Plain English
Natural-language questions converted automatically to SQL
Real-time
Dashboards always reflect the latest data in Snowflake
No migration
Native data sharing — no manual movement or duplication
Self-serve
Reduced dependency on technical teams for reporting
The client challenge
A traditional analytics setup that couldn't keep up.
The client was running a traditional analytics setup with real limitations: reporting was slow and required technical expertise, insights weren't easily accessible to business users, scaling analytics meant additional engineering effort, and AI-driven insights simply weren't available.
They wanted faster, more flexible reporting, AI-powered insights without a long migration, secure access to live data, and an intuitive natural-language analytics experience — without the technical complexity.
Business users want answers, not query languages.
A lightweight, secure connection — no pipelines, no duplication.
Why BlazeSQL + Snowflake
An AI analytics copilot on top of the existing warehouse.
Snowflake already served as the client's central data warehouse, making it the ideal foundation. BlazeSQL was introduced as an AI analytics layer on top, acting as an AI analytics copilot: users ask questions in plain English, SQL is generated automatically, and dashboards are created for non-technical users.
Only metadata — table and column names — is used, ensuring data privacy. This unlocked AI-driven analytics without disrupting existing data workflows.
Our integration approach
Lightweight, secure, and fast — data stays in Snowflake.
We established a secure connection between BlazeSQL and Snowflake using Snowflake's native data sharing capabilities. There was no manual data movement or duplication, and all data remained centralized in Snowflake.
Data is accessed directly from Snowflake with no separate refresh jobs, so dashboards always reflect the latest available data.
A featured deliverable
Conversational, chat-based analytics
A featured deliverable
We built analytical reports, custom dashboards, and AI-driven chat-based analytics — removing the dependency on data teams for everyday reporting. Business users ask questions like “What were last month's performance trends?” and get answers instantly with a visual KPI breakdown.
Key outcomes & business value
Advanced analytics without disrupting existing systems.
By clearly separating responsibilities — Snowflake for storage, governance, and scalability; BlazeSQL for analytics, AI, dashboards, and conversational insights — the integration eliminates complexity while enabling advanced analytics on existing business data.
Each layer owns what it does best.
The integration succeeds because it clearly separates responsibilities. Snowflake is the single source of truth for all business data, while BlazeSQL is the analytics and AI layer on top. Together they eliminate complexity while enabling advanced analytics without disrupting existing systems.
- Faster analytics setup with minimal engineering effort
- Scalable reporting foundation for future growth
- Centralized, secure access through Snowflake
- AI-powered insights on existing business data
- Reduced dependency on technical teams
- Always-current dashboards with no sync pipelines
Tech stack
What's under the hood.
Sitting on data you can't easily get answers from?
We connect AI analytics to the warehouse you already run — secure, real-time, and self-serve — without a risky migration.