If your company's data lives in a warehouse like Snowflake or BigQuery, you've probably run into the classic BI problem: building a dashboard for every new question is slow, and by the time it's ready, someone's already asking a different question. A newer generation of "warehouse-native" tools tries to skip that step by letting people query the data directly, in something closer to plain English or a spreadsheet, instead of waiting on an analyst. Sigma Computing and Querio both live in this space, but they're built for different budgets and different levels of trust in AI-written queries.
The short version: Sigma Computing is the mature, enterprise-grade option — 2,000+ customers, a spreadsheet-like interface, and AI agents that can write back to your systems (updating a Salesforce record, sending a Slack message), not just display a chart. Querio is the newer, leaner option — a genuinely usable free tier, and it shows you the exact SQL it generated so nothing is a black box. If you need governed, enterprise-scale BI and can live without public pricing, pick Sigma. If you want to try warehouse-native BI today without a sales call, start with Querio.
Sigma Computing: enterprise BI that can also take action
Sigma Computing works directly on your existing data warehouse and presents it through a spreadsheet-like interface that's fast for analysts and finance teams to pick up. What sets it apart from a typical dashboard tool is that its "Sigma Agents" can go a step further than displaying a chart — they can write back to connected systems, like updating a record or sending a Slack message, triggering real actions instead of just reporting on them. It's used by 2,000+ enterprise customers and supports live dashboards plus pixel-perfect embedded reporting for customer-facing use cases.
Pricing: not public. Sigma offers a free trial, but real pricing requires a demo and enterprise sales conversation.
Strengths: warehouse-native and spreadsheet-familiar, so analysts ramp up fast; genuine write-back capability, not just read-only reporting; mature product with a large enterprise customer base.
Limits: no public pricing means you can't self-serve a quote; giving an AI agent write access to production systems (Salesforce, Jira) raises real governance questions your security team will want answered before rollout; and if you only need simple reporting, cheaper tools like Power BI or Looker Studio cover that without the enterprise price tag.
Querio: ask your warehouse a question in plain English
Querio is a conversational BI tool: you type a plain-English question and it generates SQL (or Python) against your live warehouse and answers directly — and crucially, it shows you the generated query rather than hiding it, so technical users can audit exactly what ran. It has a genuinely usable free "Startup" tier: one data connection, 10 users, and access to agentic notebooks, with a Slack integration for team-wide access.
Pricing: free Startup tier (1 connection, 10 users); Core and Enterprise tiers are custom-priced and require a sales conversation, with self-hosting only available at the Enterprise level.
Strengths: free tier is real, not a trial — you can actually run it before paying anything; auditable, visible SQL/Python instead of a black-box answer; works for both technical and non-technical users through the same plain-English interface.
Limits: the free tier's single data-connection limit will bottleneck teams with more than one warehouse or database; Core/Enterprise pricing isn't public either, so scaling up still means a sales call; and self-hosting — often a requirement for regulated industries — is Enterprise-only.
Side-by-side
| Sigma Computing | Querio | |
|---|---|---|
| Core idea | Spreadsheet-like BI + AI agents that take action | Plain-English questions → visible SQL → live answer |
| Pricing | Not public, demo required | Free tier available; Core/Enterprise custom |
| Write-back / actions | Yes — can update Salesforce, Jira, Slack | No — read-only answers |
| Self-hosting | Not offered | Enterprise tier only |
| Best fit | Enterprise BI teams, governed analytics + workflows | Teams wanting a fast, auditable start with a real free tier |
| Named alternatives in the same space | Power BI, Tableau, Looker, ThoughtSpot | Metabase, Looker, Tableau, Mode Analytics |
Verdict
Pick Sigma Computing if you're an enterprise team that needs governed, embeddable BI at scale, and you actually want your analytics layer to trigger actions in other systems, not just display numbers — and you're comfortable going through a sales/demo process to get there.
Pick Querio if you want to test warehouse-native, conversational BI today without a sales call, you value being able to see and audit the exact SQL behind every answer, and one warehouse connection is enough for your current setup.
Both tools are explicitly positioned against the older generation of BI — Tableau and Looker show up as an alternative to each of them — which says less about Sigma or Querio individually and more about where the category as a whole is heading: warehouse-native, less dashboard-building, more direct questions.