Connector Database / S3
Analyze your S3 data with AI
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your S3 data with AI-powered assistant.
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Start with a question
Generate automated reports and business intelligence insights from your S3 data—as fast as you can ask them.
Build dashboards and data visualizations
Transform your conversation into dynamic data visualizations on an intuitive data canvas.
Integrate all your data
Unify your S3 data with DuckDB-powered data warehouse including Zendesk, PostgreSQL and Google Analytics.
Available S3 Data
Extracts tabular data from CSV files stored in an Amazon S3 bucket. It discovers tables by matching file keys with a regex and optional prefix, samples files to infer a schema (with optional date and datatype overrides), and streams rows as JSON with metadata columns for source bucket, file, and line number. Supports incremental syncs based on each object’s LastModified timestamp, enabling analytics on vendor data drops, exports, logs, and other flat-file datasets centralized in S3. The S3 endpoint can be overridden for S3-compatible services (e.g., MinIO, DigitalOcean Spaces).
Dataset
Represents each logical table/stream inferred from matching CSV keys in S3; enables modeling facts and dimensions and tracking table-level metrics like row counts, completeness, and schema drift.
File Object
An individual CSV file stored in S3 with key, bucket, and LastModified metadata; supports analysis of delivery cadence, freshness, incremental change capture, and file-level lineage.
Record
A parsed CSV row emitted as JSON with source metadata; powers granular KPIs (e.g., transactions, events, logs), aggregations, cohorting, and trend analysis.
Data Drop
A batch of files added or modified within a time window based on LastModified; enables monitoring of batch volumes, timeliness against schedules, and delivery anomaly detection.
Authentication Required
Uses your AWS credentials to authenticate — either an AWS named profile or access key/secret with optional session token
Getting started with
S3 Analytics & Business Intelligence
Connect your S3 data
Connect to S3 once and automatically sync data to your centralized data warehouse for real-time reporting and analytics.
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.
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?
S3 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.
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.
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