Metagem and Snowflake
Snowflake brings your data, analytics and AI together in one platform. Metagem adds what your data can't tell it: the definitions and rules buried in your documents, agreed by the business owners responsible for them.
SnowflakeToolkitYour data team builds semantic views and checks; Autopilot drafts views from tables, queries and BI files
MetagemReady-madeA ready-made model you can extend, filled automatically; first results in two to three weeks
What Snowflake does well
Snowflake brings your data, analytics and AI into one platform. Horizon Catalog governs what's in it, with lineage and access controls. Semantic views define your business metrics and relationships, and Semantic View Autopilot drafts them for you from your tables, query history and BI files. Cortex Analyst answers business questions from those views. Data quality checks watch volume, freshness and the rules you set.
For a data team that works in Snowflake, it's a strong foundation.
SnowflakeOne platformHorizon Catalog
What it assumes you already have
- DraftReviewMaintain
A data team to run it.
Your data team builds and maintains semantic views and quality checks. Autopilot speeds up the first draft, but someone still has to review it and keep it current.
How it’s used
TablesWhat was agreed
Not governed
Meaning that's already in your data.
Autopilot learns from your tables, query history and BI files. That shows how your data is used, which isn't the same as what your business agreed. Snowflake can ingest and search your SharePoint and Confluence documents, but turning the definitions and rules inside them into governed definitions is still work for your team.
- Row count droppedEvery supplier has a valid VAT number
You already know which quality rules to check.
Snowflake suggests checks based on table metadata and usage. Business rules, such as every supplier needing a valid VAT number, still have to come from someone who knows them.
Why we built Metagem
We built Metagem because the hard part of a semantic layer isn't the tooling. The hard part is knowing what goes in it. Most of that knowledge sits in procedures, policies and wikis in SharePoint and Confluence, and in the heads of a few people.
A ready-made model
Metagem is opinionated about how to capture it. It starts from a ready-made model built for master data, definitions, business rules and data quality, and you can extend it with your own entities.
Pulled out, linked to source
- DefinitionActive customer
- RuleDiscounts above 10% need approval
Filled from your sources
It fills that model from your documents and your Snowflake tables, and links each item to its source. It also spots patterns in your data that point to rules nobody wrote down, so you don't need to know every rule upfront. Then it ranks what breaks by business impact and effort.
- Conflict found5 definitions
Net revenue
Impact · HighEffort · Low
Gross sales minus discounts and returnsProposed
DecideSent to the owner
Owners decide
Its workflows put each definition and rule in front of the business owner who should decide, and record the decision. Your data team stops being the go-between, and the model stays current without them maintaining it. You see the first results in two to three weeks.
How they work together
In production, Metagem runs inside your own cloud environment.
Your sources
Snowflake
Other data platforms
Documents
Your cloud environment
Your agents
Pushed into
Snowflake- 01
Metagem connects read-only to Snowflake, your other data platforms, and your documents in SharePoint, Confluence and elsewhere.
- 02
It fills its model with your definitions, business rules and data-quality rules, mapped to the Snowflake tables behind them.
- 03
Business owners agree on one version of each through Metagem's workflows.
- 04
The agreed context reaches your agents through MCP. You can keep your definitions in Metagem, in Snowflake, or both.
Side by side
| Area | Snowflake | Metagem |
|---|---|---|
| Getting started | Your data team builds semantic views and checks; Autopilot drafts views from tables, queries and BI files | A ready-made model you can extend, filled automatically; first results in two to three weeks |
| See what you have | Catalogs the data in Snowflake, with lineage | Finds definitions and rules across your data platforms and documents, such as SharePoint and Confluence, each linked to its source |
| Agree on definitions | Your team reviews and maintains the semantic views | Workflows send each definition to its business owner and record the decision |
| Fix what matters | Checks volume, freshness and the rules you define, and suggests checks from metadata and usage | Checks data against your business rules, ranks findings by business impact and effort, and tracks each one until it's closed |
| Share with AI | Cortex Analyst answers from your semantic views | Serves agreed context to any agent that supports MCP; definitions can also live in Snowflake |
| Keep it current | Your team updates views and checks | Re-runs on a schedule or when sources change, and proposes updates for owners to approve |
Getting started
Snowflake
Your data team builds semantic views and checks; Autopilot drafts views from tables, queries and BI files
Metagem
A ready-made model you can extend, filled automatically; first results in two to three weeks
See what you have
Snowflake
Catalogs the data in Snowflake, with lineage
Metagem
Finds definitions and rules across your data platforms and documents, such as SharePoint and Confluence, each linked to its source
Agree on definitions
Snowflake
Your team reviews and maintains the semantic views
Metagem
Workflows send each definition to its business owner and record the decision
Fix what matters
Snowflake
Checks volume, freshness and the rules you define, and suggests checks from metadata and usage
Metagem
Checks data against your business rules, ranks findings by business impact and effort, and tracks each one until it's closed
Share with AI
Snowflake
Cortex Analyst answers from your semantic views
Metagem
Serves agreed context to any agent that supports MCP; definitions can also live in Snowflake
Keep it current
Snowflake
Your team updates views and checks
Metagem
Re-runs on a schedule or when sources change, and proposes updates for owners to approve
Reviewed October 2026 against Snowflake's public documentation. Some features mentioned are in preview.
When you need which
Snowflake alone is enough
When
- Your definitions are already agreed
- Your data team has time to maintain semantic views and checks
- The meaning you need is already in your data and queries
Add Metagem
When
- Your rules sit in SharePoint, Confluence and people's heads
- Business owners need to decide between versions
- Your team is too small to maintain semantics by hand
Start with one domain
In two to three weeks, you'll see its definitions, where they conflict and which fixes to start with.