Comparison · Data platforms
Curiosity and Snowflake
Governed tables, or the whole estate
Curiosity connects records where they live; Snowflake runs agents over the data in its cloud.
Your data · your environment
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.
Snowflake
A cloud data platform with Cortex Agents and Snowflake Intelligence, a natural language front end for business users to ask questions of governed data and trigger agents. It suits organizations whose analytical data is in Snowflake.
How Curiosity compares
Where the boundary falls
Snowflake is strong where the answer is in the warehouse. Curiosity is for answers spread across engineering systems and documents, kept with the permissions of the systems they came from.
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
The same five questions, answered for both.
Deployment
Cloud or self-hosted, ready to use
Vendor cloud
Data model
Managed context layer and knowledge graph
Warehouse tables and documents
Industrial fit
Built for industrial and enterprise teams
Analytics, business users
Data reach
70+ systems connected, and yours through a connector you write
What is loaded into Snowflake
Residency
EU hosted, or entirely your own infrastructure
Cloud provider regions
Customization
What your team can change
Your own code, interface, data model and configuration. Snowflake as its own documentation described it in October 2026. Where it says Not available, the vendor documents no such capability.
Your own code
C# endpoints, AI tools and tasks, compiled in Studio
SQL, Python, Java, Scala, JavaScript procedures and UDFs
Your own interface
Your own front end in C#, deployed from git
Streamlit in Snowflake and Native Apps
Data model
Typed node and edge schemas you define
Tables, schemas and semantic views
Configuration as code
Every change committed to git, pushed to your remote
Git repository integration, push from Streamlit, notebooks
APIs and SDKs
REST API, C# and Python library, connector SDK
REST APIs, drivers, Python and JavaScript SDKs
AI integration
What AI can build and reach
Whether AI can build on it, who reviews the result, and which models it runs. Snowflake as its own documentation described it in October 2026.
AI that builds
Sudo drafts endpoints, tools, schemas and screens
Cortex Code writes SQL, notebooks, pipelines and agents
Review before it applies
Every change a diff a person approves, in a sandbox
Visual diff to accept, CLI approval tiers
Model choice
Any major provider, or an OpenAI compatible endpoint
Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek models
Models on your servers
Open weights on your servers, or air gapped
Open weights in Snowpark Container Services, cloud only
Assistant permissions
Built in tools search as the user, per record
Agents and MCP run under the user's role
Agent protocols
MCP server and an OpenAI compatible API
Managed MCP server, MCP client, OpenAI compatible API
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
Data platforms
Other comparisons in this group
Palantir Foundry and AIP
Curiosity gives you a focused context layer; Foundry and AIP are a full operating system.
CompareDatabricks
Curiosity is a finished context layer; Databricks is a data platform to build agents on.
CompareDataiku
Curiosity is a context layer teams build on; Dataiku is a platform for data science and AI projects.
CompareYour data. Your infrastructure.