Connector Database / Snowflake

Analyze your Snowflake data with AI

Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your Snowflake data with AI-powered assistant.

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Snowflake logo
01

Start with a question

Generate automated reports and business intelligence insights from your Snowflake data—as fast as you can ask them.

Start with a question
Build visualizations and charts
02

Build dashboards and data visualizations

Transform your conversation into dynamic data visualizations on an intuitive data canvas.

03

Integrate all your data

Unify your Snowflake data with DuckDB-powered data warehouse including Attio, HubSpot and Zendesk.

Integrate all your data

Available Snowflake Data

Extracts tables and views from your Snowflake data warehouse via SQL. You can sync specific fully qualified tables or discover across accessible schemas (excluding INFORMATION_SCHEMA). Supports full table and incremental replication (ordered by a chosen replication key), optional schema flattening, and batch extraction using Snowflake’s internal user stage (COPY INTO and GET) to deliver files for downstream processing. Enables analysis of operational, financial, and product data centralized in Snowflake, unifying datasets for reporting and analytics.

Dataset (Table)

A physical table in Snowflake holding structured business records; enables KPI reporting, trend analysis, and star-schema modeling with full or incremental replication.

Dataset (View)

A logical view encapsulating curated or aggregated data; supports governed metrics, standardized reporting, and analytics without duplicating storage.

Schema

A logical namespace grouping related tables and views; used to organize domains (e.g., finance, product) and drive discovery and access patterns in analytics.

Extraction Batch (Stage Files)

Files written to Snowflake’s internal user stage during batch extraction; supports efficient bulk data delivery to downstream systems for analytics workloads.

Authentication Required

Authenticates to your Snowflake account using your username/password, a key pair (private key), or SSO via an external browser

Getting started with Snowflake Analytics & Business Intelligence

01

Connect your Snowflake data

Connect to Snowflake once and automatically sync data to your centralized data warehouse for real-time reporting and analytics.

02

Build business intelligence models

Create automated reports, dashboards, and data visualizations with customizable business logic and AI-powered insights for consistent analytics across your organization.

03

Generate reports and insights

Create interactive dashboards, automated reports, and data visualizations with AI-powered business intelligence. Share live analytics and scheduled reporting with your team.

Want to see how easy it is to get started?

Snowflake usersDefinite

People love Definite because it lets you focus on what matters. Setting up your own data infrastructure doesn't make your beer taste better. Skip the tedium and start at analytics.

I was leading the efforts of setting up a business intelligence function. I was surprised how complex this all was to do even today. It's something that every tech company would need at some point but it hasn't been simplified. You need a whole team focused on building a data warehouse, setting up the right pipelines, and then integrating a BI tool on top.Definite wasn't only the answer to this problem, it tackled the next problem I knew I'd have as soon as the BI tool was ready — how do we get non-technical teams and people to learn and utilise such a tool.

Aditya Sarkar

Co-Founder at Lean

A data platform built for startups

Our analytics before Definite consisted of dozens of Excel sheets that took hours to update. Manual updates led to errors. Everyone questioned the accuracy of the numbers. Many people just stopped looking at the reports.After Definite, everything ran like clockwork.We immediately saved thousands of dollars per month in the time spent updating reports and have built strategies (e.g. improved ROI on ad spend, inventory management, etc.) on the data that will yield millions to our bottom line.

Ryan

CEO at a 9-figure E-comm Company

Immediate ROI

Have questions?

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