The Redash alternative for teams who'd rather analyse data than babysit a server.
Redash is a much-loved open-source tool: write SQL, chart the results, share dashboards. But loving Redash in 2026 means accepting three things — you self-host it (the hosted service shut down in 2021 after the Databricks acquisition), someone maintains it (Docker, Postgres, Redis, upgrades, security patches), and every question costs a SQL query. DataHub Pro removes all three: fully hosted on UK/EU infrastructure, zero servers, and analysis that runs from a file upload with point-and-click tools and plain-English AI — from $14.99/month, free tier included.
Why teams switch from Redash to DataHub Pro
If you're searching for a Redash alternative you usually fall into one of three buckets. Here's what we hear most often from teams who've made the move.
The maintenance bill never stops
"Free" Redash costs a VM, a database, backups, upgrades, SSL, auth, and the engineer-hours to own them — plus risk, since the open-source project's pace slowed after Databricks acquired the company. DataHub Pro is hosted, maintained, and $14.99/month.
SQL gates every question
In Redash, no SQL means no answers — every stakeholder request lands on whoever writes queries. DataHub Pro's tools are point-and-click and Ask Your Data turns plain English into audited pandas operations, so the queue disappears.
Charts aren't analysis
Redash visualises query results; the analytical thinking is all on you. DataHub Pro ships the techniques — forecasting with confidence bands, anomaly detection, RFM, cohorts, churn risk — as one-click tools.
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 | Redash | |
|---|---|---|
| Starting price (paid) | $14.99/mo Pro · $9.99/mo billed yearly | Open source (free licence) |
| Hosting | ✓ Fully hosted, UK/EU infrastructure | ✗ Self-hosted only — Docker, Postgres, Redis, workers to run |
| Maintenance burden | ✓ None — updates ship automatically | ✗ Upgrades, security patches, backups, auth are yours |
| SQL required | ✓ No SQL needed — point-and-click tools plus plain-English AI | ✗ SQL is the core interface — every chart starts as a query |
| Setup time | ~2 minutes from upload to first dashboard | Hours to a working deployment (then per-source connection setup) |
| Works from spreadsheets / CSVs | ✓ Native — upload and analyse | Awkward — Redash queries databases/APIs, not uploaded files |
| Live database connections | Limited (Google Sheets, SharePoint/OneDrive, Shopify; CSV import from anything) | ✓ Many data-source integrations — its strength |
| AI / natural-language queries | ✓ Ask Your Data + Auto Report | ✗ None |
| Forecasting | ✓ Holt-Winters forecasting with confidence bands | ✗ Not built in |
| RFM, cohort & churn analysis | ✓ RFM, cohort retention, churn risk, Pareto, variance, what-if | ✗ Hand-written SQL per analysis |
| Anomaly detection | ✓ One-click anomaly detection on any time-series | Threshold-based query alerts only |
| Editable Word / PowerPoint reports | ✓ Editable DOCX + PPTX in one click | ✗ Dashboards and CSV downloads |
| Scheduled reports | ✓ Branded documents on a schedule | ✓ Scheduled query refresh + email alerts (not documents) |
| Project momentum | Actively developed commercial product | Community-maintained; development slowed after the Databricks acquisition |
Where DataHub Pro is genuinely better
Total cost of ownership: the honest maths
Redash's licence is free; running Redash isn't. A small production deployment means a VM or two, Postgres, Redis, scheduled backups, SSL, user auth, and — the expensive part — an engineer who owns upgrades and security patches for an internet-facing app. At any realistic engineering rate, an hour a month of upkeep already exceeds a DataHub Pro subscription.
DataHub Pro is $14.99/month (or $9.99/month billed yearly), hosted and maintained, with a free tier to start. The engineer goes back to the product.
Everyone can ask, not just the SQL-writers
Redash concentrates analytical power in whoever writes SQL — and turns them into a ticket queue. DataHub Pro distributes it: the dashboard auto-builds on upload, the 50 analytics tools are point-and-click, and Ask Your Data lets anyone ask "what drove the spike in March?" in plain English.
Crucially for ex-Redash teams who value rigour: every AI answer ships with its full pandas operation trace, so the SQL-minded can verify exactly what was computed. It's self-serve without the hand-waving.
Techniques, not just queries
A Redash dashboard shows what your SQL computed. If you want a forecast, a churn score, or an anomaly flag, you're implementing statistics in SQL — possible, painful, and easy to get subtly wrong.
DataHub Pro ships the methods as tools: Holt-Winters forecasting with confidence bands, statistical anomaly detection, RFM segmentation, cohort retention, churn risk, Pareto, variance, and what-if scenarios. One click each, implemented and tested once, applied to any dataset you upload — see the CSV-to-dashboard flow for how fast that loop is.
Output your stakeholders actually want
Redash produces dashboards engineers like. Stakeholders ask for documents: the weekly summary, the monthly pack, the client report. DataHub Pro's Auto Report generates editable Word and PowerPoint files with the narrative drafted, supports white-label exports, and delivers on a schedule.
If you're surveying the SQL-tool landscape before deciding, we keep equally honest pages on Metabase and Mode — the trade-offs differ in interesting ways.
When Redash is still the right choice
Redash remains a fine pick if:
- You have SQL skills and live databases. If your team thinks in SQL and your data is in Postgres/MySQL/BigQuery, Redash's query-first model is direct and honest. DataHub Pro doesn't query your databases live — data arrives by upload or its current connectors.
- Self-hosting is a feature, not a bug — strict environments where data must never leave your infrastructure.
- Budget is genuinely zero and engineer time is genuinely free (hello, side projects and homelabs).
- You need many database source types queried in place, federated across systems.
If the goal is business analysis for a team — fast, hosted, no SQL gate, documents out the other end — the self-hosted query tool is the wrong shape, and DataHub Pro is the right one.
Who DataHub Pro is built for
The teams who move from Redash to DataHub Pro are typically:
- Startups whose Redash box became a liability — unowned, unpatched, and three versions behind.
- Teams that lost their SQL person and found the dashboards frozen in time.
- Ops and finance functions whose data arrives as exports anyway, making the database-query model a detour.
- Agencies and consultancies that need branded client deliverables, not internal dashboards — see DataHub Pro for insight agencies.
FAQs
Is Redash still maintained?
Is there a hosted version of Redash?
Can DataHub Pro query my Postgres/MySQL database like Redash?
Do I need SQL to use DataHub Pro?
Is DataHub Pro really cheaper than free software?
Can DataHub Pro do scheduled refresh and alerts like Redash?
How do we migrate from Redash?
Where is my data stored?
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 · Google Sheets · Sisense · Crystal Reports · Zoho Analytics · Klipfolio · Mixpanel · Google Analytics · Microsoft Excel · ThoughtSpot