DatabasesConnect to any database and analyse your data instantly·FilesUpload CSV or Excel files and explore them with AI·ChatAsk questions in plain language — chat with your data·DashboardsBuild interactive dashboards from your queries in seconds·AILet AI write the SQL so you don't have to·ChartsVisualise trends with auto-generated charts and graphs·No-codeZero SQL knowledge needed — just ask in plain English·ShareShare live dashboards with your team in one click·InsightsSurface hidden patterns and outliers in your data automatically·ExportsDownload results as CSV, Excel, or PNG charts instantly·DatabasesConnect to any database and analyse your data instantly·FilesUpload CSV or Excel files and explore them with AI·ChatAsk questions in plain language — chat with your data·DashboardsBuild interactive dashboards from your queries in seconds·AILet AI write the SQL so you don't have to·ChartsVisualise trends with auto-generated charts and graphs·No-codeZero SQL knowledge needed — just ask in plain English·ShareShare live dashboards with your team in one click·InsightsSurface hidden patterns and outliers in your data automatically·ExportsDownload results as CSV, Excel, or PNG charts instantly·

Blog›Comparison

AnalityQa vs Excel & Google Sheets

AnalityQa gives you joins across files and databases, live refresh, dashboards your team can read, and a chat interface — without the broken VLOOKUPs and #REF errors. Spreadsheets stay the right tool for one-off math and ad-hoc lists.

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Close-up of spreadsheet documents and a calculator on a desk

TL;DR — why teams switch from Excel & Google Sheets

→Excel and Google Sheets break the moment you need to join more than two files, refresh from a live database, or share a chart that doesn't go stale by Monday — AnalityQa handles all three by default.
→Spreadsheets remain unbeatable for ad-hoc calculations, financial modelling, and small datasets a single person owns; AnalityQa is built for recurring questions across team data.
→AnalityQa shows the SQL behind every number so anyone fluent in spreadsheets can audit the math — no black box, no broken pivot tables to maintain.

Where Excel & Google Sheets falls short

Joining data across files turns into a VLOOKUP graveyard

A typical revenue review needs Stripe, the CRM export, and the marketing spend file joined together. In Excel that means VLOOKUP chains that break the moment a column moves, mismatched key formats (string vs number), and a manual rebuild every month.

There is no live connection — the data is always slightly stale

Spreadsheets work on the snapshot you pasted in. By the time the analysis is done, the underlying data has changed and the conclusion is already a few days old. Refreshing means redoing the import, the joins, and the formulas every cycle.

Sharing a dashboard means sharing a fragile file

Sending a workbook to your CFO or board means hoping they don't accidentally edit a cell that breaks the formula tree. Public-link viewers see whatever state the file is in, including the broken state.

The math is opaque to everyone except the person who built it

Six tabs of nested IF, SUMIFS, and INDEX/MATCH formulas are unreadable to anyone but the author. When that person leaves or goes on vacation, the model freezes — and nobody knows which numbers are still trustworthy.

Why teams pick AnalityQa

Auto-join across files and databases — no VLOOKUP

Drop in a Stripe export, a HubSpot CSV, and a connection to your Postgres warehouse. AnalityQa scans the schemas, proposes the join keys, and runs the query. You confirm or correct — no formula chains.

Live data, refreshed automatically

Connect to PostgreSQL, MySQL, or sync a Google Sheet. Dashboards re-query on a schedule — your Monday morning review opens with current numbers, not last Friday's snapshot.

Shareable dashboards that don't break

A public dashboard URL is read-only by design. Your CFO, your board, your accountant open a link and see live numbers — no risk of them deleting a cell or pasting over a formula.

The math is auditable, in SQL anyone can read

Every chart and KPI has a 'show me the query' option. The SQL is plain, commented, and copyable. If you trust SUMIFS, you can trust SQL — and now anyone on the team can audit the calculation.

Plain-English questions, faster than a pivot table

Type 'monthly revenue by region for the last 12 months, with last year overlaid' and get the chart. The equivalent pivot-and-format pass in Excel is 10 minutes for the first chart and longer every time the data shape changes.

Forecasting without a stats degree

AnalityQa runs time-series forecasts with confidence intervals on demand. Excel's forecasting is buried in trendline options and assumes a single column of data — fine for a teaching example, painful for real planning.

Feature-by-feature

Feature	AnalityQa	Excel & Google Sheets
Multi-file / multi-source join	Automatic key detection, no formulas	VLOOKUP / XLOOKUP / Power Query — manual
Live database connection	PostgreSQL, MySQL, Google Sheets — auto-refresh	Power Query (Excel) / Connected Sheets — limited and slow
Ad-hoc math on a single dataset	Possible via chat	Native — fastest tool ever built for this
Financial modelling (DCF, LBO, scenarios)	Not the right tool	Industry standard
Persistent shareable dashboards	Public URL, read-only, auto-refresh	Workbook share — fragile, edit-by-default
Time-series forecasting with confidence bands	Built-in, chat-triggered	Available but manual; assumes simple shapes
Auditability of the math	Plain SQL behind every number	Nested formulas — opaque after 3 layers
Cost of access for viewers	Free, unlimited public viewers	Free (Sheets) or per-seat (Excel)
Speed for a 5-minute one-off calculation	Slower — connection, prompt, confirm	Open file, type formula, done
Handling 1M+ rows	Database-backed, no row limit issue	Hits row limits or grinds to a halt

When Excel & Google Sheets is still the right call

•You need a quick, one-off calculation on a small dataset only you will look at — opening Sheets is faster than connecting any tool.
•You're building a financial model (DCF, LBO, scenario waterfalls, three-statement) — Excel remains the industry standard and AnalityQa is not the right shape for cell-level modelling.
•Your team's analytical workflow already lives entirely in Sheets, the spreadsheet has authority across the org, and there's no recurring multi-source question to answer — the switching cost outweighs the benefit.
•You need a hand-formatted board-pack table where every cell is precisely positioned for print — chart-first tools optimise for screen, not pixel-perfect print layouts.

Frequently asked questions

Can I keep using Sheets/Excel alongside AnalityQa?+

Yes — most teams do. Connect a Google Sheet as a data source so AnalityQa reads from your existing models. Or export any AnalityQa table to CSV and drop it into your spreadsheet for further work. The two tools cover different jobs and live well together.

Will AnalityQa replace my financial model?+

No. Cell-level financial modelling — DCFs, three-statement models, LBOs — belongs in Excel. AnalityQa replaces the reporting layer that sits on top: 'show me actuals vs. budget by department for the last 6 months' is a query, not a model.

How does this compare to Power Query in Excel?+

Power Query handles ETL inside Excel and works well for repeatable transforms a single user maintains. AnalityQa runs the equivalent transforms via plain English, persists the result as a shared dashboard, and re-runs on schedule without anyone clicking 'refresh' — the difference shows up at team scale.

Does AnalityQa replace a data analyst?+

It handles the mechanical part of analysis — joining, querying, charting — so analysts spend more time on interpretation and decisions. It does not replace judgment, domain knowledge, or the ability to ask the right questions.

What happens to my pivot tables and formulas when I move to AnalityQa?+

Pivots and formulas don't migrate — but the questions behind them do. Most teams pick the 5-10 reports they recreate every month and rebuild those as AnalityQa dashboards once. The spreadsheet stays available for everything else.

Is the SQL behind each chart something I can give to a developer?+

Yes. Every chart has a copy-SQL action. The query runs against your actual database (or the cleaned version of your uploaded files), so you can verify the result outside the tool, hand it off, or use it as a starting point for a custom report.

How does pricing compare?+

Sheets is free; Excel comes with Microsoft 365. AnalityQa starts at $19.99/month per workspace — cheaper than the time you'd spend rebuilding the same multi-source pivot every month. The break-even is usually one report.

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