Lookup

Lookup is a data assistant that lets teams query databases and dashboards in plain English and share answers with context.

Summary

Lookup allows your team to ask data questions in plain English and share answers with context so decisions happen faster without SQL.

Lookup Review

Lookup is a natural-language BI interface that connects to databases and warehouses so users can ask questions and get charts or tables instantly. It translates queries into SQL, explains assumptions, and lets analysts refine filters, joins, and groupings. Dashboards and alerts track KPIs, and definitions ensure metrics are consistent across teams. Permissions inherit from the data layer to protect sensitive fields. Typical workflows include ad hoc analysis, self-serve reporting, and executive snapshots. The value is faster decisions with less reliance on analyst bandwidth.

Things to Know About Lookup

Lookup drawbacks: Data source coverage depends on connectors; niche tools and private databases may need custom integrations. Generated analyses can misinterpret schema or metrics without modeling, requiring analyst review. Governance features—lineage, role controls, and audit logs—are lighter than enterprise BI. Query costs can spike on large warehouses without cache and limits tuning.

Top Features

AI data exploration that answers natural-language questions on your sources
Connectors for warehouses, spreadsheets, and SaaS tools
Auto-generated charts, tables, and pivot summaries
SQL visibility with edit/approve for accuracy
Saved questions, dashboards, and alerts
Row-level permissions and governance controls
Embeddable insights and share links
Change tracking, lineage, and freshness signals
Slack/Email delivery of scheduled reports
APIs for workflow and BI integrations

Lookup Pricing

Lookup pricing: usage-based and team plans scale with search volume, data connectors, and saved investigations; higher tiers add collaboration spaces, role-based permissions, audit trails, and API access; enterprise packages include SSO and SLAs; overall spend rises with query throughput, retention needs, and the breadth of connected sources.

How to use Lookup

To use Lookup, connect your data source (CSV, spreadsheet, database), authorize access, and select the tables or sheets you want to analyze. Ask questions in plain language or choose guided queries, then refine results with filters, groupings, and time windows. Save recurring questions as dashboards, define KPIs with thresholds, and schedule refreshes. Share a read-only view with teammates, export charts or CSVs for reporting, and track query history to standardize metrics. Use data definitions and column descriptions to keep analyses consistent across the team.

Alternatives & Competitors

To use Lookup, select a data source or connect integrations, describe the insight you need in natural language, and generate charts or tables; refine with filters and groupings, schedule recurring snapshots, and share results with teammates; document prompts for reproducibility.