Analyze your Parquet data with AI today.
Build dashboards, automate reports, and ask questions in plain English — all from your Parquet data, no complex infrastructure to maintain.
Have multiple Parquet accounts? Analytics across multiple Parquet accounts →
Everything Parquet exposes, modeled and queryable.
Reads structured, columnar data from local Parquet files and streams it as tabular records with an auto-inferred schema. Supports common data types (integers, doubles, strings, booleans, and timestamps) and can flatten nested fields. This enables analysis of data lake extracts, exported warehouse tables, logs, and other datasets stored in Parquet format without relying on an external API.
Tables & streams
Represents a tabular table inferred from one or more Parquet files; serves as the foundation for aggregations, joins, and KPI reporting across domains such as sales, marketing, or product analytics.
Row-level observations streamed from Parquet files; enable counts, sums, time-series trends, and cohort analysis when combined with timestamp fields.
Columns and their inferred data types (including flattened nested attributes); define the dimensions and measures used for modeling, segmentation, and metric calculations.
No login required — reads local Parquet files from a provided filesystem path
Requires a Parquet account to connect.
Operational data, performance metrics, and business insights.
Three steps. One afternoon.
Authenticate Parquet in a few clicks. OAuth, API key, or IAM role — we handle secrets and rotation.
We pull every stream into your warehouse. CDC where the API supports it; full + incremental otherwise. Hourly-or-faster, row-level secure.
SQL, dashboards, or ask Fi in plain English. Your Parquet data lives next to every other source — ready to join.
Build your own with the Definite SDK, or request it — most go live in days.
Pair Parquet with the rest of your data.
Join Parquet with the rest of your data, then ask Fi questions across all of it.
