Collaborative Data Modeling
Powered by AI

Turn Complexity into Elegant Simplicity!

Flowchart of production template illustrating relationships among factory, production line, equipment, sensor, production run, product, product group, raw material, raw material group, recipe, input raw material batch, and output product batch.

Easier Engineering, Faster Results

Automations & Documentation  
to Simplify Engineering

Speed Up Non-Dev Tasks for 60% Faster Analytics Engineering

Non-development tasks take up the vast majority of your time as an analytics engineer.

For an enterprise team working on dozens of projects at a time and meeting new requirements, we estimate 60% wasted effort and time on such tasks.

Often, engineers have to make assumptions about data, and test these assumptions in a trial-and-error manner. It’s time to use a workflow that speeds up the process.

Decipher Raw Data, Data Warehouses with Use of GenAI

GenAI struggles when you expect it to provide all the answers. Plus, you’re shut out from the process — creating an analytics ‘black box’.

Ellie’s structured workflow combines the speed of modern genAI and human input to improve the quality of results.

You can “reverse engineer” your data warehouse into Ellie, and our AI agent will generate a description for each table and each column in the table.

You’ll always have a business expert who can understand the meaning of the data you’re working on.

Connect Data Visually, Create Reusable Analytics Layers

Ellie gives you the ability to understand data and create connections using ER diagrams, using an UI that was developed for pace.

Each diagram — representing your source data warehouse or a stage layer based on one or more sources — then becomes a reusable model that represents your dbt project.

Plus, as a team and a data organization, you have a more transparent data analytics design process to follow.

Integrate Seamlessly with Github & dbt for an Analytics Head Start

Ellie’s visual interface doesn't exist in isolation. You can connect what you do in Ellie to dbt to create the source and stage layers of your dbt project.

This gives you a head start for your analytics project, with a clear understanding of source data.

All the documentation you need for your project is automatically created as well. Our research suggests that you can meet your analytics KPIs up to 60% faster.

Speed Up Non-Dev Tasks for 60% Faster Analytics Engineering

Decipher Raw Data, Data Warehouses with Use of GenAI

Connect Data Visually, Create Reusable Analytics Layers

Integrate Seamlessly with Github & dbt for an Analytics Head Start

Ellie’s visual interface doesn't exist in isolation. You can connect what you do in Ellie to dbt to create the source and stage layers of your dbt project.

This gives you a head start for your analytics project, with a clear understanding of source data.

All the documentation you need for your project is automatically created as well. Our research suggests that you can meet your analytics KPIs up to 60% faster.

Connect Data Visually, Create Reusable Analytics Layers

Ellie gives you the ability to understand data and create connections using ER diagrams, using an UI that was developed for pace.

Each diagram — representing your source data warehouse or a stage layer based on one or more sources — then becomes a reusable model that represents your dbt project.

Plus, as a team and a data organization, you have a more transparent data analytics design process to follow.

Decipher Raw Data, Data Warehouses with Use of GenAI

GenAI struggles when you expect it to provide all the answers. Plus, you’re shut out from the process — creating an analytics ‘black box’.

Ellie’s structured workflow combines the speed of modern genAI and human input to improve the quality of results.

You can “reverse engineer” your data warehouse into Ellie, and our AI agent will generate a description for each table and each column in the table.

You’ll always have a business expert who can understand the meaning of the data you’re working on.

Speed Up Non-Dev Tasks for 60% Faster Analytics Engineering

Non-development tasks take up the vast majority of your time as an analytics engineer.

For an enterprise team working on dozens of projects at a time and meeting new requirements, we estimate 60% wasted effort and time on such tasks.

Often, engineers have to make assumptions about data, and test these assumptions in a trial-and-error manner. It’s time to use a workflow that speeds up the process.

What's Your Data Product Maturity?

According to Gartner, 80% of data product related projects fail to meet expectations. How does your organization's maturity look like? Do you have clarity on these root causes to failing data projects?

At Ellie we strive to support all our users to succeed in their data projects providing them the best collaborative environment to create models that reflect reality, are easy to understand and scale. Elegant simplicity that delivers complete business glossary as output.

Learn more

Unclear Business Objectives. Always start with the "Why" and define value for the data product. Without clear objective, it is extremely likely that there will be rework in the future.
Data Quality & Availability. Everyone wants to be data driven but do we really understand what it entails? It's important to be able to access the various data assets and have a clear understanding of what's available.
Lack of Collaboration. Easy to use collaborative environment leads to a common understanding between IT and business stakeholders with models and business glossary that reflect reality, are easy to understand and scale with the business.

Effective Data for Everyone

How Ellie Improves Data Initiatives

Enterprise Data Platform

Build better data products faster through automations that enable better understanding and documentation of data and data transformations.

Data Warehouse

Get the fundamentals of your data warehouse right, and maintain your design through the implementation phase.

Data Governance

Agree on your rules, policies & ownership of data without being distracted by technical details.

Data Mesh

Design your core business data entities within your domain, and enable cross-domain communication with ease.

Data Culture

Turn day-to-day hurdles of driving data culture, into a clear process with an easy entry point.

Enterprise
Data Products

Build better data products, faster through automations that enable better understanding and documentation of data and data transformations.

Data Warehousing

Get the fundamentals of your data warehouse right, and maintain your design throughout the implementation phase.

Data Governance & Catalogs

Agree on the rules, policies & ownership of your data without getting distracted by technical level details.

Data Mesh

Design your core business data entities within your domain, and enable cross-domain communication with ease.

Diagram showing a glossary connected to HR and Sales departments, each with two team members' photos below.

Data Culture

Turn complicated day-to-day hurdles of driving data culture into a clear process with a low-entry point.

Bringing Data Closer to Business Value

What Ellie Users Say

Ellie is an excellent option for modeling a data warehouse. It provides a good environment that combines data documentation, modeling, and easy enterprise access.

Bjarki Stefansson

Senior BI Architect, Sidekick Health

Ellie is an amazing piece of engineering, for accelerating your BI (business intelligence) efforts at a business level, and can be used by business users easily.

Dan Linstedt

Developer of Data Vault 2.0

There are data governance/business analyst tools, and then there are data design/development tools. I don’t see many connections between the two. Ellie seems to fill this gap.

Steve Hoberman

Leading Data Modeling Expert

Ellie provides an excellent visual tool for the business to articulate how it sees itself to IT and the things that are important to them in terms of data.

Cynthia Meyersohn

President of DataRebels

Made for people

Ellie’s Key Features

Data Product Design for Large Enterprise Needs

What does data product design mean in a world that struggles to define a data product? For us, any data use—analytics, enterprise or domain architecture, cloud transformations—that solves a business problem is a data product that can be designed in Ellie.

Use Ellie to map your databases and source data as is and plan the target structure in one platform.

Data Warehouse? Data Vault? Data Mesh? All require you to understand data in business terms and connect them to build your data product.

If you’ve never seen this tool before, you should check it out. It’s an amazing piece of engineering, for accelerating your BI efforts at a Business Level, and can be used by business users easily.

Portrait of a middle-aged man with light hair wearing a suit and tie, smiling slightly.

Dan Linstedt

Data Vault 2.0 inventor and Founder

Business, Logical & Physical Data Modeling

Use conceptual ER diagrams to create visual designs of how business and data processes relate to each other in the real world.

You can then transform high-level designs into actionable technical blueprints using logical and physical models—maintaining a link between the real world and your data product.

In large data teams, analytics projects can be built and executed as much as 10X faster with Ellie.

Ellie is an excellent option for modeling the data warehouse. It provides a good environment that combines data documentation, modeling, and easy enterprise access. It is simple to use, yet offers the flexibility needed for a great modeling experience!

Black and white portrait of a man with short hair wearing a jacket, outdoors with blurred background.

Bjarki Stefansson

Senior BI Architect, Sidekick Health

Company-Wide Business Glossary, Easy Access

Ellie’s Business Glossary is like a dictionary for your organization.

Collaborate with domain experts to create definitions of business terms, and bring clarity to data projects.

Use our folder structure to support multiple business teams—sales and product might define customer in different ways—without technical conflicts.

Enrich your glossary using your data catalog, without having to enforce rules that make a data catalog difficult to use for most people.

There are data governance/business analyst tools, and then there are data design/development tools. I don’t see many connections between the two, yet Ellie seems to fill this gap.

Black and white photo of an older man with glasses speaking and gesturing with his hands.

Steve Hoberman

Leading Data Modeling Expert

Seamless Collaboration on Data Projects

Work that needs data teams and business experts is incredibly easy. It's as easy as sharing a link with your team to leave comments.

You can work on your data product designs simultaneously, and all you need is a browser.

Business users can even create initial drafts of a model with assistance from our AI chatbot.

You can use our user types to ensure there's an approval process in place to update existing data product designs and the glossary.

Ellie provides an excellent visual tool for the business to articulate how it sees itself to IT and the things that are important to them in terms of data.

Portrait of a smiling woman with long light hair styled in loose waves, wearing a dark top and light makeup.

Cynthia Meyersohn

President of DataRebels

Continuous Data Model Reusability for Data Projects

Creating duplicates can turn any data architecture into a data swamp.

Ellie enables you to reuse different product elements. You can search your current library and add it to new data models.

Want to understand your entities at a deeper level? Just open the relationship tab.

Plus, versioning ensures you don't have to create copies every time you design something new.

Even though our company is new, we have worked as individuals with Ellie from the beginning and it’s great to see them listening to our suggestions and customer needs.