The Amplitude alternative for business data — no SDKs, no event pipeline, no instrumentation project.
Amplitude is the benchmark for product analytics: funnels, retention curves and behavioural cohorts built on a stream of instrumented events. But to get any of it you first need an engineering project — SDKs in your app, an event taxonomy, a tracking plan, and ongoing governance to stop the data going stale. If the questions you're actually asking are about revenue, customers, stock, campaigns and costs that already live in spreadsheets, Amplitude is the wrong shape of tool. DataHub Pro analyses the data you already have: upload any Excel or CSV and get dashboards, RFM segments, forecasts and AI-written reports from $14.99/month.
Why teams switch from Amplitude to DataHub Pro
If you're searching for a Amplitude alternative you usually fall into one of three buckets. Here's what we hear most often from teams who've made the move.
Your questions aren't about in-app events
Amplitude answers “what did users do inside our product?”. It has no opinion on your P&L, your Shopify export, your payroll or your campaign spend. If the data you need to analyse arrives as spreadsheets from finance, ops or clients, you need a tool that reads files — not an event stream.
You don't have engineers to spare
Amplitude is only as good as its instrumentation: SDK integration, a tracking plan, naming conventions, QA on every release. That's a standing engineering tax. DataHub Pro needs no instrumentation at all — the data already exists, you just upload it.
MTU/event pricing scales against you
Amplitude's free Starter tier is generous until you grow; beyond it, Plus starts at $49/month (billed annually) and Growth is a custom, usage-metered contract that commonly lands in five figures a year. DataHub Pro is a flat $14.99 per seat per month, whatever your row counts.
Side-by-side comparison
Honest, feature-by-feature. Pricing accurate as of June 2026 based on each vendor's published rates (or, where pricing is custom, our best estimate from public sources and our own conversations).
| DataHub Pro | Amplitude | |
|---|---|---|
| Built for | Business data analysis — sales, finance, ops, marketing files | Product/event analytics — user behaviour inside apps and sites |
| Starting price (paid) | $14.99/user/mo, $9.99/mo billed yearly | Plus from $49/mo billed annually |
| Free tier | ✓ Yes — uploads, dashboards, 8 essential tools | ✓ Starter — capped tracked users and features |
| Setup required | ✓ Upload a file — ~2 minutes | ✗ SDK integration, event taxonomy, tracking plan, QA |
| Works from Excel / CSV | ✓ Native — that's the whole model | Not the workflow — data arrives via SDKs/APIs; CSV import exists for event data only |
| Engineering dependency | ✓ None | ✗ Ongoing — every new question may need new instrumentation |
| AI / natural-language queries | ✓ Ask Your Data — auditable pandas trace on your file | ✓ Ask Amplitude — scoped to instrumented event data |
| Funnels & behavioural cohorts | Cohort retention on transaction data | ✓ Best-in-class — this is Amplitude's home turf |
| RFM customer segmentation | ✓ Built-in, from any sales/CRM export | ✗ Behavioural cohorts instead; no RFM on financial data |
| Forecasting | ✓ Holt-Winters with confidence bands on any time-series | Limited — trend projections inside specific charts |
| Anomaly detection | ✓ One click on any uploaded series | ✓ Monitors/alerts on tracked metrics |
| One-click DOCX / PPTX reports | ✓ Auto Report — fully editable Word/PowerPoint | ✗ Dashboards, notebooks and CSV/image exports |
| White-label client reporting | ✓ Enterprise — your logo, your brand | ✗ Not a client-reporting product |
| Data residency | ✓ UK / EU hosting, GDPR, DPA | EU data residency available on paid plans |
Where DataHub Pro is genuinely better
Analysing the data you already have, today
The fastest analytics tool is the one that doesn't need a data-collection project first. Amplitude's insights only exist after engineers ship instrumentation and events accumulate — typically weeks before the first useful chart, and every new question (“can we segment by plan type?”) can mean another sprint.
DataHub Pro inverts that: the data already exists in your Shopify export, your accounts package CSV, your CRM download. Upload it and the dashboard, KPIs and AI analysis are ready in about two minutes. For most SMEs that's not a small difference — it's the difference between doing the analysis and not doing it.
Business questions, not behavioural ones
Amplitude is superb at “where do users drop out of onboarding?”. It cannot tell you which customers are slipping away by spend (RFM), which products drive 80% of margin (Pareto), what next quarter's revenue looks like (Holt-Winters forecasting), or why April's costs spiked (anomaly detection + variance). Those are spreadsheet-data questions.
DataHub Pro ships all 50 of those tools out of the box — RFM, cohort retention, churn risk, Pareto, what-if modelling, variance analysis and more — pointed at whatever file you upload. If you're weighing up classic BI suites for this job instead, see our Tableau comparison and our round-up of Power BI alternatives.
Pricing that doesn't meter your growth
Amplitude prices on volume — monthly tracked users and events. That's fair for its market, but it means your bill is coupled to your growth, and the jump from the free Starter tier to a Growth contract is one of the most commonly cited frustrations in Amplitude reviews; annual costs for mid-size products routinely reach five figures.
DataHub Pro is a flat $14.99 per user per month (or $9.99/month billed yearly) regardless of how much data your files contain, with a free tier that needs no credit card. You can model the cost of a 10-person team in your head.
Reports your stakeholders can open and edit
Amplitude's outputs are charts, dashboards and notebooks — built for product teams who live in the tool. Board members, clients and finance directors live in Word and PowerPoint.
DataHub Pro's Auto Report produces a fully editable DOCX or PPTX in one click — title page, executive summary, charts and recommendations — and scheduled reports deliver them automatically. On Enterprise they're white-labelled, which is why insight agencies use DataHub Pro for client deliverables.
When Amplitude is still the right choice
Amplitude and DataHub Pro genuinely do different jobs. Choose Amplitude if:
- You're optimising a digital product. Funnels, retention curves, feature adoption, experiment analysis — Amplitude is among the best in the world at this.
- You have engineering capacity to implement and maintain a proper tracking plan; the quality of the insight depends on it.
- You need behavioural cohorts and targeting wired into your messaging and experimentation stack.
- Event volume is your unit of truth — clickstreams and in-app behaviour rather than transactions and ledgers.
Plenty of teams sensibly run both: Amplitude for product behaviour, DataHub Pro for the business data — revenue, customers, stock, spend — that never flows through an SDK.
Who DataHub Pro is built for
The teams who pick DataHub Pro over (or alongside) Amplitude are typically:
- SaaS founders and operators who need revenue, churn and cohort answers from billing exports — without instrumenting anything.
- E-commerce teams analysing Shopify and marketplace exports: RFM, repeat-purchase cohorts, stock and margin.
- Finance and ops teams whose world is Excel — variance, forecasting, anomaly detection on actuals.
- Marketing teams and agencies reporting on campaign spend and results from platform CSV exports.
- Anyone whose “events” are rows in a spreadsheet, not clicks in an app.
FAQs
Is DataHub Pro a direct replacement for Amplitude?
Do I need to install an SDK or write a tracking plan for DataHub Pro?
How does pricing compare?
Can DataHub Pro do cohort analysis like Amplitude?
Does DataHub Pro have AI like Ask Amplitude?
What integrations does DataHub Pro support?
Can I export Amplitude data into DataHub Pro?
Is DataHub Pro GDPR-compliant?
See it on your own data in 2 minutes.
The free tier doesn't ask for a credit card. Drop in a CSV and the dashboard, insights, and report are ready before your coffee cools.
Compare DataHub Pro to: Tableau · Power BI · Domo · Looker · Looker Studio · Qlik Sense · Databox · Geckoboard · Mode · Metabase · Causal · Rows · Numerous AI · Sigma · Apache Superset · Grow · GoodData · Yellowfin · JasperReports · Lightdash · Holistics · Chartio