A tool that lets you ask your company's live database a question in plain English — like "which customers ordered the most last month?" — instead of writing SQL yourself.
Best alternatives to Quiriz in 2026
Getting a straight answer out of a messy pile of spreadsheets usually means either learning formulas, learning SQL, or bugging whoever on the team actually knows how. Quiriz skips that step: upload your files or connect your data, type your question in plain English, and it figures out the right way to combine and analyze the data to answer it. Quiriz is an AI-powered data analyst that accepts Excel, CSV, PDF and image files (plus Google Drive, OneDrive and Slack as sources), automatically detects relationships between different datasets and performs joins without the user writing anything technical. It produces instant answers, visual charts and downloadable reports, supports scheduled report generation and distribution, custom metric definitions, project-level access controls, 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. Uploaded files are deleted after processing and data is stored on US-based infrastructure. Pricing runs Free (limited features) through Plus ($8.99/month), Pro ($19.99/month or $215.88/year) and Max ($49.99/month or $480/year), with features and upload limits scaling by tier.
Quick comparison of Quiriz alternatives
| # | Tool | Best for | Price |
|---|---|---|---|
| 1 | Équipes ayant une base de données de production mais peu de compétences SQL en interne | — | |
| 2 | Entreprises | Équipes de données | — | |
| 3 | Développeurs | PME | Analystes de données | — | |
| 4 | Équipes SaaS Product/Revenue en petite et mid-market cherchant l'analytique de cohortes et churn sans BI complexe | — | |
| 5 | Website owners and teams wanting cookieless analytics with revenue insight | — | |
| 6 | Financial analysts and quantitative researchers needing SEC XBRL fundamentals | — | |
| 7 | Website owners and teams wanting privacy-first analytics with session replay and uptime monitoring | — | |
| 8 | Développeurs voulant présenter leur portfolio GitHub de façon originale, ou trouver des issues open-source abordables | — | |
| 9 | Développeurs construisant des pipelines de capture de données sans infra lourde | — | |
| 10 | Équipes data et ingénierie nécessitant souveraineté des données et contrôle d'infrastructure | — | |
| 11 | Data engineers, analystes, praticiens ML voulant prototyper des pipelines rapidement | — | |
| 12 | Analytics engineers et équipes data utilisant dbt, ayant besoin de données de test réalistes sans accès aux données de production | — |
- ✓ Connexion directe à une base de données de production
- ✓ Requêtes isolées par conteneur, données non stockées
Turns the customer and revenue data already sitting in your Google Sheets into churn, retention and cohort analytics in seconds, no formulas or BI tool required.
- ✓ Fonctionne directement dans Google Sheets, zéro migration de données
- ✓ Cohortes, churn et revenue waterfall sans formule ni pivot table
Cookieless, privacy-first web analytics with an AI chat interface — a paid, open-source alternative to Google Analytics.
- ✓ No cookies, no consent banner needed by design
- ✓ Revenue attribution built in (Stripe/Polar)
Extracts standardized S&P 500 fundamental financial data directly from SEC XBRL filings for financial analysis.
- ✓ Standardized financial data extracted directly from audited SEC XBRL filings
- ✓ Covers all S&P 500 constituent companies
Privacy-first, cookieless web analytics with session replay, error tracking, and uptime monitoring, open-source and self-hostable.
- ✓ Cookieless, privacy-first tracking — no cookie-consent banner needed
- ✓ Open-source (AGPL-3.0) with Docker self-hosting for full data ownership
Turns your GitHub repositories into a walkable 3D town — stars and forks become building height and width — so you can explore a portfolio, or find beginner-friendly open-source issues, as a game instead of a list.
- ✓ Visualisation 3D originale et engageante des dépôts GitHub
- ✓ Fonctions pratiques (Quest Board, Repo Route, Twin Towns)
Python library that captures streaming data durably into Iceberg tables with no broker, daemon, or catalog service to run.
- ✓ Aucune infra (broker/daemon/catalogue) à opérer
- ✓ Durabilité immédiate, fraîcheur sub-seconde
Open-source ETL platform that builds data pipelines visually or in code and runs them on DuckDB, with no vendor lock-in.
- ✓ Gratuit, open source, aucun coût par ligne/connecteur
- ✓ 188+ connecteurs, compilation SQL automatique sur DuckDB
Open-source visual builder for data and ML pipelines that lets you preview each transformation live and export clean pandas/Polars Python code.
- ✓ Preview live sur données réelles à chaque étape
- ✓ Export en code Python pandas/Polars propre, aucun lock-in
A command-line tool that reads a database schema and generates a full, realistic fake dataset plus a ready-to-run dbt project — no production data or manual scaffolding needed.
- ✓ Generates both the data AND a complete dbt scaffold (seeds, models, tests, profiles)
- ✓ Preserves foreign-key relationships across tables
FAQ about Quiriz alternatives
- What is the best alternative to Quiriz in 2026?
- Based on our selection, Marillo is the best alternative to Quiriz in 2026. A tool that lets you ask your company's live database a question in plain English — like "which customers ordered the most last month?" — instead of writing SQL yourself.. See our full ranking above to compare all options.
- Is Quiriz free?
- Quiriz is a paid tool. Several alternatives in our selection offer free or freemium versions.
- How many alternatives to Quiriz are there?
- mySelectas has listed 12 alternatives to Quiriz in the Data & Analytics category. Our selection is updated regularly to include the best options available.