Do I need a separate data warehouse for my S3 data?

No. Definite includes a built-in lakehouse, so you don't need to pay for a separate warehouse like Snowflake, BigQuery, or Redshift. Your S3 data syncs into open Parquet storage and is queried by a DuckDB-powered engine for high-performance analytics. Definite handles encrypted, persistent storage behind the scenes with enterprise-grade security, automatic syncing, and backups. You get lightning-fast queries, built-in business intelligence tools, and SOC 2 compliant security, all without the overhead or complexity of running a separate warehouse.

Can I analyze my S3 data with other data sources?

Yes. Definite lets you connect and analyze data across all your tools: app databases, CRMs, marketing automation, analytics, and customer support platforms. Our built-in Sync Engine supports 500+ data sources, with options for daily, hourly, or near real-time syncs. You can select metrics and dimensions from your S3 data alongside other sources to explore insights, build dashboards, and share results (no SQL needed, unless you want to). Or simply ask Fi, our AI analyst, to find answers, uncover patterns, and instantly create charts and reports for you.

Can Definite connect S3 data to tools like Python, SQL, Google Sheets, or Slack?

Yes. Definite integrates seamlessly with the tools you already use. You can run Python scripts for advanced analysis, query your data directly with SQL, or sync results to Google Sheets and Slack for easy sharing. Data can be exported in CSV, Excel, or JSON, accessed via the Metrics API, or embedded directly into your product or internal dashboards. Definite makes it simple to connect, automate, and share insights wherever your team works.

How does Definite's AI actually work?

Definite includes Fi, our AI data analyst that understands your business data and speaks your language. Fi can explore your connected sources, write SQL, and build charts or dashboards in minutes, turning plain-English questions into real analysis. Under the hood, Fi uses Definite's semantic models and query engine to interpret context, generate accurate queries, and explain results clearly. The result: faster insights, fewer bottlenecks, and analytics that finally deliver ROI.

Can I use Definite for free?

Yes. Definite offers a free plan for qualifying startups that includes core analytics, dashboards, and AI insights: everything you need to get started. You can upgrade anytime for more data sources, faster syncs, and advanced automations.

Definite runs as a private deployment in your own cloud (AWS, GCP, Azure, or anywhere with Kubernetes); you keep control of data, compute, and networking. Explore private deployment →

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← All connectors/Cloud Infrastructure

§ Connector · Popular

Amazon S3

Analyze your S3 data with AI today.

Build dashboards, automate reports, and ask questions in plain English — all from your S3 data, no complex infrastructure to maintain.

Watch the demo →Try it free

Have multiple S3 accounts? Analytics across multiple S3 accounts →

Want it to watch your S3 data and act on its own? Meet the S3 agent →

§ Live with

§ What you get

Everything S3 exposes, modeled and queryable.

Reads files stored in Amazon S3 (and S3‑compatible object stores) such as CSV, JSON Lines, Parquet, and Avro, applying glob/prefix filters and optional schema inference to turn files into tabular records. This enables centralizing raw data dumps, exports, logs, and other file-based datasets for downstream analytics.

Standard on every Definite connector

Sync cadence

Hourly or faster

CDC

Native where supported

Auth

OAuth / API key

Row-level security

Yes

Tables & streams

4 objects

◆Dataset

A logical table composed of files in a bucket matched by a prefix or glob with optional schema inference. Enables analysis of dataset freshness, completeness, row counts, and ingestion latency across file-based exports and logs.

general_data_storagecustomerengagement

◆File Object

An individual S3 object (file) and its metadata such as size and last modified time. Supports monitoring of file delivery SLAs, volume growth, partition coverage, and file-level ingestion errors.

general_data_storagecustomerengagement

◆Record

Row-level records parsed from file contents (CSV, JSON Lines, Parquet, Avro). Powers downstream KPIs and aggregations like volumes, trends, and cohort analyses once ingested.

general_data_storagecustomerengagement

◆Schema

The inferred columns and data types derived from the dataset’s files. Enables tracking of schema drift, type conformance, and data quality validation.

general_data_storagecustomerengagement

Authentication

Uses your AWS Access Key ID and Secret (or an assumed IAM role) to authenticate; can read public buckets without credentials

Requirements

Requires a S3 account to connect.

Domainsgeneral_dataoperations

§ How it works