Frequently Asked Questions

Querri is an AI data analytics platform that lets you upload, clean, analyze, and visualize data using natural language — no SQL or technical skills required.

You ask questions in plain English and Querri's AI agent handles the rest: connecting to your data, running the analysis, and delivering charts, tables, and dashboards. It covers the full workflow from raw files to finished output in one product — no separate ETL tools, no warehouse setup, no visualization layer to configure.

Querri is built for anyone who needs answers from their data but doesn't have SQL skills, a data team, or time to fight through complex tools.

That includes small business owners analyzing sales or marketing data, consultants preparing client reports, operations managers tracking KPIs, and team leads at larger companies who can't wait for their BI team's backlog to clear. If you know what you want to ask your data — or know you should be asking — Querri is for you.

Sign up for a free account at app.querri.com, upload a file or connect a data source, and start asking questions in plain English.

There's no setup wizard or configuration step. Once your data is loaded, just type a question like "What were my top 10 customers by revenue last quarter?" and Querri handles the analysis. Most users get their first insight within 5 minutes of signing up.

No. Querri is designed so that anyone who can describe what they want in plain English can analyze data.

You don't need to know SQL, Python, or any programming language. You don't need to understand data modeling, schemas, or joins. Querri's AI agent figures out the right approach, writes the queries, and explains what it did in plain language so you can verify the results.

You can ask anything about your data in plain English — from simple lookups to multi-step analysis with charts and forecasts.

Querri's AI agent breaks your question into steps: loading the right data sources, running calculations, creating visualizations, and explaining the results. You can ask follow-up questions to refine or drill deeper, and the agent maintains context across up to 30 turns in a conversation.

Querri offers live chat support, email support, a help center with guides and tutorials, and a dedicated customer success team for Pro and Enterprise plans.

The help center at docs.querri.com covers everything from getting started to advanced features. For account or billing questions, reach out via the in-app chat or email support.

Querri works with CSV, Excel (.xlsx/.xls/.xlsm), JSON, Parquet files, plus direct connections to databases like PostgreSQL, MySQL, Snowflake, and BigQuery, cloud storage like Google Drive and S3, and business apps like Salesforce, QuickBooks, and Smartsheet.

File size limits vary by format: CSV files up to 500 MB, Excel up to 100 MB, JSON up to 250 MB, and Parquet up to 1 GB. Querri auto-detects schemas, column types, and delimiters on upload. For Excel files, you can choose which sheets to import and specify cell ranges.

Drag and drop files directly into Querri, or use built-in connectors for databases, cloud storage, and business applications.

For file uploads, just drag files into the upload area or click to browse. For databases and cloud services, Querri provides guided setup flows where you enter your connection credentials. All connected data is catalogued in your Library and available across all your projects. You can queue multiple files at once and track upload progress in real time.

Yes. Querri can join, merge, and cross-reference data from different files and connections in a single analysis.

When you ask a question, Querri's AI agent automatically identifies which data sources are relevant and loads them together. It handles joins, lookups, and combining datasets behind the scenes. You don't need to know how SQL joins work — just describe what you want and the agent figures out how to connect the data.

Querri automatically detects and fixes common data quality issues — duplicates, missing values, inconsistent formatting, and type mismatches — before running your analysis.

Querri's AI-powered cleaner tool identifies problems like duplicate rows, null values, inconsistent date formats, and encoding issues. It reports what it found and confirms before making changes. You can also give cleaning instructions in plain language, like "remove duplicates based on email address" or "fill missing revenue values with the category average."

Yes. Querri generates interactive charts as part of your analysis and offers a drag-and-drop dashboard builder for ongoing monitoring.

The platform supports eight chart types — line, bar, pie, scatter, area, histogram, heatmap, and box plots — all rendered as interactive Plotly visualizations with zoom, pan, hover details, and export to PNG, SVG, or PDF. The Dashboard Builder (available on Pro plans) lets you arrange charts, tables, text, images, and KPI cards on a flexible grid with responsive layouts for desktop, tablet, and mobile.

Yes. Querri supports scheduling for dashboards, analysis steps, data refreshes, and exports on hourly, daily, weekly, or monthly intervals.

You set a schedule using preset intervals or custom cron expressions, and Querri runs the analysis and refreshes the data automatically. It handles timezone and daylight saving time transitions, offers multiple refresh strategies (incremental, full, or smart), and supports task chaining so multi-step workflows can run end to end without manual intervention.

No. Querri does not use your data to train AI models, and it does not share your data with third parties.

Your data is processed only to answer your questions and deliver your analysis. Querri does not aggregate customer data, sell data to advertisers, or use uploaded files for any purpose beyond serving you. Data privacy is enforced at the architecture level, not just by policy.

Querri is SOC 2 Type II certified and encrypts data both at rest and in transit. All work is private by default — no one can access your projects or data unless you explicitly share them.

The security model is layered: personal privacy by default, optional sharing with specific people or teams, row-level access policies, group-based permissions, workspace-level isolation, API key controls, and admin governance. You can adopt as many layers as your organization needs — small teams stay simple, larger teams add controls as they grow.

Only you — unless you choose to share. Everything you create in Querri is private to your account by default.

When you do share, you control exactly who gets access and at what level: View (see results), Edit (modify analysis), or Admin (manage sharing). You can also generate time-limited public links with optional password protection for sharing outside your team. Row-level security lets you control which rows of data each person can see, so different team members can access the same dashboard but only see data relevant to their role.

Yes. Querri shows exactly what it did at every step — the data it loaded, the queries it ran, and the logic behind its calculations — so you can verify any result.

Unlike general-purpose AI tools, Querri's agent is data-grounded: it never guesses numbers or estimates answers. It runs real calculations against your actual data and shows you the SQL queries, transformation steps, and chart configurations. Each step displays its status (running, success, or error) so you always know what happened. If something looks off, you can refine or ask a follow-up question.

ChatGPT is a general-purpose AI assistant. Querri is a dedicated data analytics platform that connects directly to your data sources, cleans and transforms data automatically, and delivers persistent dashboards and scheduled reports.

ChatGPT can analyze files you upload one at a time, but it doesn't maintain connections to live data sources, doesn't offer dashboards, and can't schedule recurring analysis. It's useful for one-off exploration. Querri is built for ongoing, production-grade data work: it connects to databases and cloud storage, keeps data up to date, builds reusable dashboards, and automates workflows. Querri also shows you exactly how every result was calculated, so you can verify the analysis.

Tableau and Power BI are visualization tools that require clean, pre-modeled data and significant technical setup. Querri handles the full workflow — from raw, messy data through to finished visualizations and dashboards — using natural language instead of formulas or SQL.

With Tableau or Power BI, you typically need a data engineer to build and maintain the data pipeline, a semantic model, and pre-defined measures before a business user can build a chart. Querri eliminates those prerequisites: upload your data (even if it's messy), ask a question, and get a chart. There's no data modeling step, no calculated field syntax to learn, and no separate ETL layer to configure.

ETL tools move and transform data between systems — they're plumbing. Querri lets you actually use that data to get answers, build charts, and make decisions without writing code.

Tools like Fivetran and dbt are essential infrastructure for data engineering teams, but they don't help business users ask questions or create reports. Querri overlaps with some ETL functionality — it can clean, join, and transform data — but it goes beyond that to provide conversational analysis, visualization, dashboards, and automation. If you already have a warehouse with clean data, Querri can connect to it. If you don't, Querri can work directly with your raw files.

Querying a data warehouse requires SQL and an understanding of the schema. Querri lets you ask the same questions in plain English and get the same results — without writing SQL or knowing how the data is structured.

Data warehouses like Snowflake and BigQuery are built for technical users. You need to know the table names, column names, join conditions, and SQL syntax to get answers. Querri works on top of (or instead of) a warehouse: you describe what you want in everyday language, and the AI agent writes and executes the right queries for you. If you already have a warehouse, Querri can connect to it. If you don't, you can upload files directly.

Large language models are AI systems that understand and generate human language. Querri uses specialized LLMs to translate your plain-English questions into data analysis workflows — loading data, running calculations, building charts, and explaining results.

Querri's AI agent is an LLM-powered planner with access to analytical tools: SQL execution, data cleaning, charting, forecasting, and financial analysis. When you ask a question, the agent creates a step-by-step plan, executes each step against your actual data, and streams results back to you. The model is not guessing — it's coordinating real data operations and showing you every step.