Elevate Your Data Engineering with Ellie.ai

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Here’s why Heads of Data Engineering love Ellie

Visualize the Unvisual

Requirements Gathering

Facilitate seamless teamwork with Ellie.ai's cloud-native, browser-based application that accommodates multiple users simultaneously.

Whether you're, engaging business stakeholders, gathering project requirements, or coordinating with your engineering team, Ellie.ai ensures productive and synchronized collaboration - just share a link!

Visual Project Tracking

Follow the lineage of your data project with ease.

At a glance, determine which data pieces have been acquired, and which are still pending. This allows for real-time tracking and better resource allocation.

Technical Workflows

Document your source systems, define the job to be done, and any other metadata, and attributes, all in one place. Clearly define when tasks need to be done, and how do these job relate to each other.

Add Ellie's unique entity IDs to each dbt job. This ensures that every piece of data can be traced back to its original requirement, maintaining clarity and transparency.

Schema Documentation

Once your data structures are built in Snowflake, use Ellie.ai's powerful REST API to reverse engineer your schemas. This brings them back into Ellie's logical models, and links to your initial project requirements - creating a full-circle data lifecycle.

How it works:

Stories of our clients

What our customers say

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In recent years, the data industry has been moving from data as an asset to data as a product thinking. In recent years, the data industry has been moving from data as an asset to data as a product thinking.
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Erick Brown
Data Team Lead
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In recent years, the data industry has been moving from data as an asset to data as a product thinking.
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Erick Brown
Data Team Lead
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Must have tool!
In recent years, the data industry has been moving from data as an asset to data as a product thinking. In recent years, the data industry has been moving from data as an asset to data as a product thinking.
Portrait of a man with dark hair and green eyes against a dark background.
Erick Brown
Data Team Lead
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Must have tool!
In recent years, the data industry has been moving from data as an asset to data as a product thinking. In recent years, the data industry has been moving from data as an asset to data as a product thinking.
Young man with short light brown hair wearing a dark blue shirt, looking directly at the camera against a plain gray background.
Erick Brown
Data Team Lead
Logo DigiFinland
1 of 3
Must have tool!
In recent years, the data industry has been moving from data as an asset to data as a product thinking.
Black and white portrait of a man with curly hair, beard, and mustache, wearing a striped shirt.
Erick Brown
Data Team Lead
Logo Fellowmind
2 of 3
Must have tool!
In recent years, the data industry has been moving from data as an asset to data as a product thinking. In recent years, the data industry has been moving from data as an asset to data as a product thinking.
Portrait of a man with dark hair and green eyes against a dark background.
Erick Brown
Data Team Lead
Logo Solita
3 of 3
Power

The Power of Ellie

As you design great data products, you also gather contextual metadata.
The knowledge of how your business operates in terms of data in the real-world.
Learn more
About us

Why Ellie

Lets you design data products ~40% Faster
35% higher rate of data product success
95% of our customers never stop using Ellie
Cloud-based and easy to use-up and running in just 5 minutes
Drive data culture across your organization, avg 6:1 business to data user ratio
Design and collaborate directly from your browser
Our Blog

Latest news from our team

Release
August 28, 2026
/
3 mins

Ellie 9.12: Model metadata, copy attributes in view mode, and API updates

Describe a model as a whole, copy attributes from a read-only template, and keep entity links in the API.
AI & LLMs
Blog Post
August 19, 2026
/
5 Mins

The Business Impact of Unclear Semantic Definitions

This article explores how unclear semantic definitions harm analytics, AI, and enterprise decision-making.
Data Culture
Blog Post
August 11, 2026
/
5 Mins.

Agentic AI’s Missing Layer: Human Expertise

Human expertise and semantic layers are essential for building reliable, context-aware Agentic AI.
Release
August 7, 2026
/
2 mins

Ellie 9.10: Better collaboration: Slack notifications, AI context, Boolean fields

Get model comments in Slack, mark metadata as AI context, and use Boolean fields.

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