Frequently Asked Questions

Most teams are up and running in under an hour. Connect your data warehouse with read-only credentials, and Seambo OS automatically discovers your schema, relationships, and builds your knowledge graph.

No. The AI Chat Assistant lets you ask questions in plain English like "show me tables with customer purchase history" or "which tables track user activity". For complex queries, the Visual Query Builder lets you build SQL without writing code.

BigQuery (native integration), Snowflake, PostgreSQL, Amazon Redshift, and Azure Synapse. More adapters coming soon.

Seambo OS is optimized for desktop browsers where data professionals do their work. The responsive web app works on tablets but is not designed for phone screens.

No. We don't bulldoze your systems — we realign them. Seambo OS connects to your existing data sources with read-only access. There's no migration, no data copying, and no disruption to your current workflows. You can start seeing value in under an hour.

No. Seambo OS uses modular design with clear handoff. Your documentation, knowledge, and insights remain accessible even if you stop using the product. We believe in earning your business every month, not trapping you.

No. You don't need a bigger data team — you need a smarter setup. Seambo OS transforms your existing subject matter experts into data-empowered professionals. It reduces dependency on tribal knowledge and key-person risk, letting your current team do more with less friction.

Seambo OS helps you transition gradually. Start with Excel files today, connect a data warehouse tomorrow. We provide build-versus-buy guidance aligned with your long-term objectives — not a one-size-fits-all solution.

Yes! Seambo OS can connect to Excel files (.xlsx, .xls, .csv) stored in Google Drive, SharePoint, or uploaded directly. Your spreadsheets become searchable and queryable alongside your data warehouse tables.

No. You can start with just Excel files and Google Sheets. When you're ready to transition to a data warehouse, Seambo OS helps you migrate gradually — no big bang project required.

Absolutely. The Visual Query Builder lets anyone build queries by clicking and dragging — no SQL required. Just select your columns, add filters, and click Run. The SQL is generated automatically.

Upload directly or connect via Google Drive / SharePoint. Seambo OS automatically detects column types, creates a schema, and makes the data queryable. Takes about 5 minutes per file.

Yes. That's a core feature. Join your sales_q4_master.xlsx with your customers table in BigQuery in a single query — no exports, no manual matching.

No. Seambo OS only reads metadata (table names, column types, schema information). Your actual data never leaves your warehouse. Queries execute in YOUR data warehouse and results stream directly to your browser.

No. Seambo OS uses read-only access. The service account cannot modify, delete, or write any data to your warehouse.

We support OAuth 2.0 with Google and Azure AD. Enterprise customers get SSO integration. All API keys are stored securely in Google Secret Manager with audit logging.

For BigQuery: bigquery.dataViewer (read metadata), bigquery.jobUser (run queries), and read access to INFORMATION_SCHEMA and JOBS_BY_PROJECT views.

An interactive visual network showing all your tables as nodes and their relationships as edges. Click any table to see columns, documentation, and lineage. Zoom, pan, and filter to explore your entire data landscape.

Powered by Claude (Anthropic), the AI assistant understands your schema context and can answer questions about your data in plain English. Ask things like "what tables contain customer information" or "explain the relationship between orders and payments".

The AI is highly accurate for schema discovery and exploration. For critical business decisions, always verify by checking the actual table data. You can click through to see the source tables the AI references.

Yes. Saved queries can be Private (only you) or Public (visible to your team). You can also create Multi-Tab Workbooks where tabs reference each other.

Seambo OS analyzes your schema, column names, and sample data patterns to generate human-readable descriptions. You can edit and customize any auto-generated documentation.

BI tools help you visualize data you already found. Seambo OS helps you find and understand data before visualization. We're the discovery layer that makes BI tools more useful — knowing which tables exist, what they mean, and how they relate.

A point-and-click interface to build SQL queries without writing code. Select tables, click columns to add them, drag to reorder, add filters via dropdowns. The SQL is generated automatically, and you see cost estimates before running. Perfect for users who don't know SQL or want faster query building.

Subscription tiers based on users and tables: Starter ($99/mo, 5 users), Team ($299/mo, 10 users), Business ($799/mo, 25 users), Enterprise (custom). All plans include unlimited queries.

A data analyst costs $120K-$180K/year fully loaded. Seambo OS costs $1,188-$9,588/year depending on plan. That's 1-5% of the cost with 24/7 availability and no onboarding.

Data workers save 16+ hours/month by reducing "finding the right table" from 3 hours to 10 minutes. At $75/hour, a 5-person team saves $6,000/month. Team plan pays for itself in under 2 days (1,906% ROI).

Yes! We offer a 14-day free trial with full access to all features. Book a demo and we'll set you up with your own data.

The first load queries your data warehouse's INFORMATION_SCHEMA to discover all tables and columns. This typically takes 5-15 seconds depending on warehouse size. Subsequent loads are faster with caching.

Simple Mode (designed for business users) hides technical tables like staging, temporary, and audit tables. Switch to Full Mode to see everything. Some datasets may also be excluded by your admin.

The AI can only answer questions about data that exists in your connected warehouse. If you're asking about external systems or data not yet loaded into BigQuery/Snowflake, it won't be able to help.

Check for: missing partition filters (especially on date columns), SELECT * instead of specific columns, large date ranges. Use the Cost Intelligence panel to see cost estimates before running queries.