The Bricks alternative without the pricing cliff
The honest verdict
Bricks combines spreadsheets, docs, and AI charts in one canvas, and its output is genuinely polished. Two things send people looking for alternatives: pricing that jumps steeply between tiers, and the all-in-one canvas being more product than the reporting job needs. AnalyzeData is narrower on purpose — data in, verified analysis, report out.
Where Bricks is strong
- Attractive all-in-one canvas (sheets + docs + AI)
- Polished chart aesthetics
- Good for building mixed documents from scratch
Where AnalyzeData differs
- Analysis is computed by inspectable Python — provenance on every number
- Report generation is one click from analysis, not a document-building session
- Flat, published tiers ($0 / $16 / $39 at launch) with no mid-range cliff
- Two nouns (Analysis, Report) instead of a workspace to administer
Side by side
| Bricks | AnalyzeData | |
|---|---|---|
| Scope | All-in-one workspace (sheets, docs, decks) | Analysis → report pipeline |
| Pricing shape | Free → ~$25 → ~$100 tier jump | $0 → $16 → $39 flat tiers at launch |
| Number verification | Spreadsheet formulas + AI | Executed Python with visible code per block |
| Best for | Building rich mixed documents | Recurring data reports you send |
Bricks versus AnalyzeData: canvas or pipeline
Bricks is an all-in-one canvas — spreadsheets, docs, and AI charts in one workspace — and it is genuinely good at building rich, mixed documents from scratch. If your work is composing varied one-off documents where the layout and the mix of elements are the creative act, that flexibility is the draw.
AnalyzeData is narrower on purpose. It is a pipeline: data in, verified analysis, report out. If you produce the same kind of report on a recurring basis — a monthly client summary, a campaign recap — you do not want a blank canvas each time; you want to drop in the new export and get the report.
So the split is by cadence and shape. Choose Bricks when every document is different and building it is part of the value. Choose AnalyzeData when the report is a repeatable deliverable and you would rather administer two nouns, an Analysis and a Report, than a whole workspace.
Rebuilding a Bricks report as an AnalyzeData pipeline
In Bricks, a report is something you assemble on the canvas: place a sheet, add AI charts, write around them, and arrange the layout. To move that to AnalyzeData, start instead from the data — upload the same source file (CSV, Excel, JSON, or TSV) that fed your Bricks sheet.
Ask for the analyses you had built by hand. Where you dragged in a chart and configured it, here you describe what you want to see and the engine computes it with Python and renders it as one of nine validated chart types. Each block arrives report-ready, with provenance attached, so there is no separate step to check that a number is right.
Then generate the report in one click rather than laying out a document. Pick a theme and every chart restyles to match, or begin from a report template (see /templates); share the live link, or export a PDF. The recurring value is that next month you re-upload the new export and regenerate, instead of rebuilding the canvas.
The all-in-one cliff versus flat, focused pricing
The most decision-relevant difference is the shape of both the product and its price. Bricks bundles many capabilities into one canvas, and its pricing steps steeply from free to roughly $25 and then to roughly $100 per tier. The all-in-one model is why the jump exists: you pay for the whole workspace even when you use one corner of it.
AnalyzeData charges for the pipeline only, in flat published tiers of $0, $16, and $39 at launch, with no mid-range cliff. Because the product does one job, the price scales with how much you analyze rather than with a bundle of features you may not touch.
This matters most for a growing team. With an all-in-one tool you often hit the moment where the mid tier is no longer enough and the next tier costs several times more. If reporting is the actual job, paying for a focused pipeline on linear tiers usually beats paying the cliff for a canvas you are using as a report builder.
Bricks is an AI workspace that combines spreadsheets, docs, dashboards, charts, and even presentations on one canvas — you drop in a CSV or Excel file and build dashboards and reports by dragging elements or editing with natural language. It is polished and flexible. People compare it with AnalyzeData for two reasons: they need only the reporting slice of that big canvas, and Bricks meters AI usage in messages with a steep jump between tiers. This is a fair look at what Bricks includes at each tier, where its live dashboards genuinely win, and how a focused analysis-to-report pipeline differs.
What Bricks includes at each tier
Bricks meters its AI in "AI messages," and the allowance is what separates the tiers as much as the feature list does (as of July 2026). The free plan gives 20 AI messages a month; Premium at $25/month ($17.50/month billed annually) raises that to 200 AI messages a month and adds PDF, PPTX, XLSX, and HTML export; Pro at $100/month ($70/month annually) unlocks unlimited AI messages, up to 10 team members, advanced connectors, Tableau and Power BI export, embeddable dashboards, and brand themes. Enterprise is custom.
The message model matters more than the sticker price. On Premium, a heavy building month — lots of iterating on charts and layouts by natural language — can run through 200 messages and push you toward the $100 Pro tier, a four-times jump. If you use one corner of the canvas, you still pay for the whole thing at the tier that has the headroom.
Against a message-metered model, the relevant AnalyzeData fact is that nothing on it is metered: the product is free during launch with every feature included and no account required, so an afternoon of exploratory questions costs the same as one. Launch pricing will be published when it exists — this page won't guess at it.
| Plan | Price | AI messages | Notable |
|---|---|---|---|
| Free | $0 | 20 / month | Dashboards, reports, analysis, chat |
| Premium | $25/mo ($17.50 annual) | 200 / month | Solo workspace; PDF/PPTX/XLSX/HTML export |
| Pro | $100/mo ($70 annual) | Unlimited | Up to 10 seats; Tableau/Power BI export; embeds; themes |
| Enterprise | Custom | Unlimited | 200+ seats, priority support |
Where Bricks genuinely wins: live dashboards and mixed documents
Give Bricks real credit for the things a report pipeline does not do. It refreshes a dashboard in one click when the underlying data updates, supports interactive filtering across a whole dashboard, and builds varied documents from scratch — presentations, org charts, docs, and sheets side by side. If your output is an interactive dashboard people poke at, or a one-off document where the mix of elements is the creative act, that flexibility is exactly what you want.
AnalyzeData is deliberately narrower and honest about it: it does not offer live, auto-refreshing dashboards. A report regenerates on demand when you re-upload the new data, rather than updating itself in the background. So if a living, filterable dashboard is the deliverable, Bricks or a dedicated BI tool is the better fit.
Where AnalyzeData pulls ahead is the recurring, sendable report — the same shape of document every month, where you would rather re-upload the export and regenerate than rebuild a canvas. If your work is closer to interactive data visualization than to a monthly deliverable, weigh that difference honestly before you pick.
AI charts vs executed code: can you check the number?
Bricks builds charts and analysis from natural language over a spreadsheet, so a figure is as auditable as the sheet behind it — which is fine until someone asks where a specific number came from. That question is the whole game for reports that get reviewed.
Every AnalyzeData chart is the end of a visible pipeline: the engine writes Python, executes it in a sandbox while you watch, and renders the result through one of nine validated chart specs — so the model chooses what to show but cannot alter how it is built. Any figure on the chart traces back through "How was this computed?", which opens the code and its output, and the written summary is composed only from those computed results.
For a report a client or manager will question, that receipt on every figure is the difference between defending your numbers and re-deriving them under pressure. Our roundup of the best AI for analyzing data puts this trade-off in context, and the AI report generator shows the provenance flow in practice.
Bricks or AnalyzeData: how to decide
The split is by cadence and shape. Choose Bricks when every document is different and building it is part of the value, or when the deliverable is a living dashboard. Choose AnalyzeData when the report is a repeatable deliverable and every number has to be verifiable. The table matches the job to the tool.
If you produce the same kind of report on a schedule, the Bricks alternative worth trying is the one built around that cadence. Rows users landing here after the Rows shutdown may also want the Rows comparison, since both tools sit at the spreadsheet-plus-AI intersection.
| If the deliverable is... | Best fit |
|---|---|
| A varied one-off document (deck, doc, dashboard) | Bricks |
| A living dashboard people filter interactively | Bricks or a BI tool |
| A recurring data report you send and defend | AnalyzeData |
| Charts exported into Power BI or Tableau | Bricks (Pro tier) |
Frequently Asked Questions
Everything you need to know about using AnalyzeData.
Bricks is a strong document builder; AnalyzeData is built for the recurring report: upload the month's export, verified analysis, themed report, share link. If reporting is the job, the pipeline beats the canvas.
Growing teams hit the moment where the mid tier stops being enough and the next tier costs 4× more. Our tiers are priced to scale linearly — and every limit is published on the pricing page.
Bricks is an all-in-one canvas, so its pricing reflects the full bundle — sheets, docs, and AI — and it steps from free to roughly $25 and then to roughly $100 per user. You pay for the whole workspace even if you mainly build reports. AnalyzeData charges only for the analysis-to-report pipeline, in flat $0/$16/$39 tiers at launch, so there is no mid-range cliff to cross.
Both have a free entry point, but the shape differs. If you are evaluating for recurring reporting, check whether the free tier lets you finish a real job rather than just preview it. AnalyzeData is in free open beta now, with a $0 tier intended to complete one genuine analysis and share a report. Compare that against how much of the workflow each free tier actually lets you run end to end.
Not necessarily. An all-in-one canvas like Bricks is powerful when every document is different and you are composing varied elements from scratch. But if you produce the same report on a schedule, a focused pipeline is usually simpler: upload the new data, get verified analysis, generate the report. AnalyzeData deliberately exposes two nouns, an Analysis and a Report, instead of a full workspace to administer.
As of July 2026, the free plan includes 20 AI messages a month, Premium ($25/month) includes 200, and Pro ($100/month) includes unlimited AI messages. Usage is metered in messages, so a heavy building month on Premium can run through the 200 and push you toward the Pro tier.
Yes. Bricks refreshes a dashboard in one click when the data updates and supports interactive filtering across a whole dashboard. AnalyzeData does not offer live auto-refresh — a report regenerates on demand when you re-upload the data — so if a living dashboard is the goal, Bricks or a dedicated BI tool fits better.
Its Pro tier ($100/month, as of July 2026) lists Tableau and Power BI exports plus embeddable dashboards. Lower tiers export to PDF, PPTX, XLSX, and HTML. If those BI exports are central to your workflow, that capability sits on the top paid tier rather than the entry plan.
Both, plus more: Bricks bundles an AI spreadsheet, dashboards, docs, charts, presentations, and org charts on one canvas. If you only need the analysis-to-report slice, a focused tool avoids paying for the whole workspace — AnalyzeData is a pipeline that turns an uploaded file into a verifiable, shareable report.
Try it on your own data
The comparison that matters is your file in the workspace — free during the beta.
Open the workspaceCompetitor details reflect public information as of July 2026. Spot an inaccuracy? Tell us and we'll fix it.