Comparison
A modern alternative
to Databricks
Curiosity is a finished context layer; Databricks is a data platform to build agents on.
Who each tool is for
Different problems, honestly stated
Curiosity
For industrial and regulated teams whose knowledge sits in engineering systems and structured records, where the answer depends on how those records connect, and where the deployment has to run on their own infrastructure.
Databricks
A data and AI platform built on the lakehouse, with tools to build agents and apps on it, such as Agent Bricks and Databricks Apps. It runs in the customer’s cloud account and suits data and engineering teams.
How Curiosity compares
A lakehouse, or the records around it
If your data team already runs on Databricks, it is a natural place for analytics. Industrial knowledge also lives outside the lakehouse, in tickets, documents and engineering systems, with permissions of their own.
Records and documents, not only tables
Industrial knowledge lives in tickets, documents, email and engineering systems as much as in the warehouse. Curiosity connects them where they are.
Permissions from the source
Access is synced from each source system, down to the record, rather than modeled again in a second set of grants.
Tools for the people who do the work
Studio builds apps and agents for engineers and support teams, on top of the graph, without a data team in the loop for each one.
Side by side
Feature comparison
| Curiosity | Databricks | |
|---|---|---|
| Deployment | Cloud or self-hosted, ready to use | Managed, in your cloud account |
| Data model | Managed context layer and knowledge graph | Lakehouse tables and files |
| Industrial fit | Built for industrial and enterprise teams | Data and engineering teams |
| Data reach | Connects your sources out of the box | What is ingested into the lakehouse |
| Residency | EU hosted, or entirely your own infrastructure | Your cloud region |
At Airbus, we developed the next generation of customer support AI assistance tools with Curiosity, enhancing our technical support’s ability to access and navigate vast data from multiple sources, including millions of documents.
Services Innovation Team
Airline Services at Airbus
Your data. Your infrastructure.