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Sigma Computing

It’s time to migrate from Omni to Sigma

Want apps that write back on the same governed data as your dashboards? Sigma rebuilds your Omni topics and dashboards as live workbooks on your warehouse, ready for Input Tables, actions, and AI Apps.

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claude · sigma-migration-skills

Teams of every size are moving from Omni to Sigma

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How the migration works

Three steps from Omni to Sigma

Point Sigma at your warehouse and it rebuilds your dashboards as live, governed analytics your team already knows how to use.

  1. Connect your warehouseSigma queries Snowflake, Databricks, BigQuery, or Redshift live, so nothing gets extracted and no data leaves your warehouse.
  2. Convert your Omni topics and dashboardsThe Omni converter turns each topic into a Sigma data model and each dashboard into a workbook, and flags anything it skips instead of guessing.
  3. Explore and extendAnyone who knows a spreadsheet can explore, write back, and build AI Apps on top, with row- and column-level security inherited from your warehouse.

Sigma Migration Skills

The Omni migration runs in your coding agent

An assessment inventories and scores your Omni content first. The converter rebuilds it in Sigma and checks the results against your warehouse. It’s open source and works with Claude Code, Cursor, Snowflake CoCo and other coding agents.

/plugin marketplace add sigmacomputing/sigma-migration-skills
/plugin install sigma-authoring@sigma-migration-skills
/plugin install omni-to-sigma@sigma-migration-skills
Migrate this Omni dashboard to Sigma
View the skill on GitHub

Where your data goes to work

Most BI tools stop at the dashboard. Sigma keeps going, turning the same governed data into interactive apps and agents that act.

  • Semantic portability

    Protect existing investments. Sigma natively integrates with dbt, Snowflake Semantic Views, and Databricks Unity Catalog metric views, so externally built metrics flow in without re-definition.

  • Sigma Agents

    Turn insights into automated work. Sigma Agents read, write, and trigger external workflows while inheriting warehouse security, so every action stays auditable.

  • AI Apps

    Move beyond read-only dashboards. Anyone can build interactive, no-code AI Apps that take action and write decisions directly back to your warehouse.

  • Secure governance

    AI security must be architectural. Sigma Agents and AI Apps automatically inherit your cloud data warehouse row-level and column-level security.

  • Enterprise SDLC

    Get production-grade controls without the engineering overhead. Sigma isolates draft and live states using connection-aware deployment and version tagging.

  • AI ecosystem

    Sigma is your OS for live data and AI. Unify external agents via MCP with warehouse LLMs and Sigma Agents for natural-language discovery, without vendor lock-in.

Sigma is the enterprise leader in self-service analytics and operational workflows

As of March 29, 2026.

See the full Sigma vs Omni comparison
AI ApplicationsOmniNo. Constrained by a proprietary semantic layer, Omni operates strictly as an antiquated answer or read-only tool. It is structurally incapable of agentic action. Building interactive applications or automated workflows requires exporting sensitive data to external tools, instantly creating shadow AI infrastructure.SigmaYes. Move beyond read-only dashboards with AI Apps and Sigma Agents. All users can build and deploy no-code interactive applications with embedded autonomous agents that answer questions, securely trigger external workflows, and natively write governed decisions back to your cloud data warehouse.
Governed WritebackOmniNo. Fundamentally a read-only reporting tool. Capturing user inputs, planning scenarios, or triggering actions requires exporting data or buying disconnected third-party workflow platforms.SigmaYes. Capture inputs and trigger workflows safely via Input Tables. Every user writeback and Sigma Agent action automatically inherits your cloud data warehouse’s native permissions and security policies, ensuring absolute enterprise governance.
Warehouse-Native FunctionsOmniNo. External caching architecture separates data from your native compute layer. To leverage warehouse-native AI functions or UDFs, users are forced to write complex custom SQL, severely limiting adoption.SigmaYes. Sigma compiles compute pushdown directly, ensuring teams can invoke warehouse-native AI functions, custom UDFs, and ML models in Snowflake and Databricks without ever extracting the underlying data.
Data ModelingOmniNo. Requires OmniML for dashboards and exploration, creating a hard data team dependency for joins and metrics. Users are locked into a predefined semantic layer, reintroducing the legacy LookML bottleneck. This traps teams in a ticketing and context-switching cycle incompatible with the pace of modern agentic workflows.SigmaYes. Natively integrate with dbt, Snowflake Semantic Views, and Databricks Unity Catalog metric views so centrally defined metrics flow directly into AI Apps and Sigma Agents without re-definition. This shared semantic foundation ensures automated actions execute with governed precision and complete auditability.
Data ExplorationOmniNo. Accurate answers require OmniML, creating a predefined semantic dead-end. Iterative exploration is paralyzed by forcing business users to rely on the data team for new questions.SigmaYes. Explore data freely using familiar spreadsheet syntax and a no-code GUI, without relying on data teams or predefined questions.
Drill DownOmniNo. Drill paths in OmniML are rigid and predefined, limiting users’ ability to explore metrics on their own.SigmaYes. Flexible paths allow users to drill infinitely into any data point at billion-row scale using any field, securely querying the live warehouse without pre-aggregation.
True Self-ServiceOmniNo. Ad-hoc calculations face arbitrary row limits, forcing self-service on sampled, potentially inaccurate data. A lack of governed, native writeback drives teams to abandon the platform entirely just to execute a complete operational workflow. Omni's read-only architecture makes building and deploying agentic workflows structurally impossible for business teams.SigmaYes. Enable all users to build AI Apps and Sigma Agents to drive closed-loop workflows using a familiar spreadsheet UI and formulas combined with native writeback. Zero proprietary code and no row limits mean zero barriers between discovering insights at billion-row scale and building the applications to act on them.
Collaborative WorkflowsOmniNo. Omni users are restricted to a legacy, single-player architecture. Attempting to co-edit causes file locks and overwritten work, stalling momentum. This lack of a synchronous workspace means Omni cannot support collaborative AI development or human-in-the-loop workflows, forcing teams to rely on disconnected communication tools for governance.SigmaYes. Sigma's architecture enables real-time, synchronous, agentic collaboration. Multiple users can build, edit, and explore the same live workbook simultaneously without locking files or overwriting work. This shared environment natively supports human-in-the-loop approval chains, allowing teams to securely review and approve Sigma Agent actions before execution.

Straight from the source

Sigma on G2 (opens in a new tab)Sigma on Gartner Peer Insights (opens in a new tab)
  • “Sigma is intuitive and allows users to build reports and dashboards quickly without needing to maintain an additional modeling layer (like LookML).”

    Analytics EngineerSoftware · Gartner Peer Insights (opens in a new tab)

  • “The biggest win with Sigma is the UI/UX, it’s the first BI tool I’ve used that actually feels like a spreadsheet but scales like a cloud warehouse. Because it’s live-connected to Snowflake, I don’t have to wait for data extracts or worry about 'stale' reports; the Performance is as fast as the warehouse itself. The Integrations are seamless, allowing me to write back to the database or embed analytics directly into client portals without a massive engineering lift.”

    Mid-Market (51-1000 emp.) · G2 (opens in a new tab)

  • “Sigma can handle a high volume of data, and its write-back feature makes it a great tool for creating data apps—not just dashboards.”

    David ChangSr. Director, Data Intelligence · Mid-Market (51-1000 emp.) · G2 (opens in a new tab)

Schedule a live 30-minute demo

See your own Omni dashboards rebuilt as live, governed Sigma workbooks in a 30-minute walkthrough on your data.

Schedule a demoStart a free trial