Getting a straight answer out of company data usually means either knowing SQL or Excel formulas, or waiting for whoever on the team does. Both Quiriz and Marillo skip that step by letting you type a plain-English question and getting back a chart, table, or report — but they point at completely different sources. One is built for the pile of spreadsheets, CSVs, and PDFs already sitting in your Google Drive; the other connects directly to your live production database. Picking the wrong one means either a tool that can't reach your data, or one with more access to your production systems than you actually wanted.
Quiriz: plain English over your files
Quiriz is built for the files people actually have lying around: Excel, CSV, PDF, and even images, sourced from uploads, Google Drive, OneDrive, or Slack. Type a question like "which product sold best last quarter?" and it automatically detects relationships between different files and joins them without you writing anything technical, then returns instant answers, charts, and downloadable reports — with scheduled report generation, custom metric definitions, and add-ins for Excel and Google Sheets plus a Slack integration for team use. It's listed on both Microsoft AppSource and the Google Workspace Marketplace, deletes uploaded files after processing, and stores data on US infrastructure. Pricing runs Free (limited) through Plus at $8.99/month, Pro at $19.99/month, and Max at $49.99/month. The honest limits: the AI can misread ambiguous columns or relationships, it's not built for financial or compliance reporting without manual verification, and the free tier is thin.
Marillo: plain English straight to your production database
Marillo skips the file-upload step entirely and connects directly to your existing PostgreSQL, MySQL, or MariaDB database, reading its schema and table relationships to translate a plain-language question into the actual SQL needed to answer it — then hands back a table, chart, or CSV instead of raw rows. Each query runs in an isolated container rather than a shared environment, database credentials are encrypted, and Marillo says it doesn't store the underlying data itself, only the generated results. It includes table- and column-level access controls so sensitive fields can be restricted per user, and supports multiple simultaneous database connections. Pricing is token-based: free includes one database connection, 20 tokens, and 24-hour chat history; Enterprise is custom-priced with volume discounts. The trade-offs: on complex schemas the generated queries need validation before you trust them, the free tier's 20 tokens won't go far, and giving any tool direct access to a production database is a real security decision to think through, not a rubber stamp.
| Quiriz | Marillo | |
|---|---|---|
| Data source | Uploaded files: Excel, CSV, PDF, images | Live database: PostgreSQL, MySQL, MariaDB |
| Best for | Ad hoc analysis of spreadsheets scattered across a team | Letting non-SQL people query production data safely |
| Access control | Project-level | Table- and column-level |
| Security model | Files deleted after processing | Isolated container per query, encrypted credentials |
| Starting price | Free → $8.99/mo | Free (1 connection, 20 tokens) → custom Enterprise |
These aren't really competing for the same use case despite both selling "ask your data a question in English." If your data lives in spreadsheets, PDFs, and files scattered across Drive and Slack, Quiriz meets it where it already is. If your data lives in a live production database and you want your team asking questions without a direct SQL connection or a support ticket to an engineer, Marillo is built for that — just budget time to validate its generated queries on anything with a complex schema before you trust the answer.