Apache Superset alternative: arcodash vs Superset
arcodash is an Apache Superset alternative for teams that write SQL, want scheduled data checks with alerts, and don't want to run Celery workers and a headless browser to get them. Superset is the better choice if you want free open source you run yourself, a very large chart library, full control, or strong SQL Lab. arcodash is fixed at $59 per month (Team) or $300 per month (Org) for the whole org, unlimited seats, no usage billing. Preset, hosted Superset, is priced per user.
| Feature | arcodash | Apache Superset / Preset |
|---|---|---|
| Pricing model | Fixed: $59/month (Team) or $300/month (Org) for the whole org, unlimited seats, no usage billing, after a 14-day free trial | Superset itself is free open source that you run yourself. Preset (hosted) is priced per user |
| Seats and viewers | Better fitUnlimited seats, viewers included | Preset hosted plans are priced per user; how viewers are billed is not published. Embedded viewers without accounts are a paid add-on |
| Free self-hosted option | None. arcodash is hosted only | Better fitSuperset is free open source; you pay for your own infrastructure and ops |
| Hosting | Hosted, no ops on your side | Self-host Superset, or Preset Cloud |
| Alerts | Threshold alert on a column of a saved query, or a threshold-free baseline monitor. Email, Slack, Teams, webhook, PagerDuty and more | Alerts fire when a SQL condition is met; reports are scheduled. Email, Slack, webhook. Off by default |
| Alert setup effort | Better fitPick a column, an operator and a value in the product | Self-hosted: feature flag, Celery beat and workers, SMTP or Slack token, headless Chromium for screenshots |
| Built-in data checks | Better fitFreshness, row count, null rate and duplicate recipes you write as scheduled SQL, or draft with Suggest checks with AI; incident tracking | No dedicated data-quality check type in the alerts docs; a SQL condition you write |
| SQL editing | SQL is the primary way to build everything, with AI help | Better fitSQL Lab is a strong SQL IDE |
| Chart library | A focused set of visualizations | Better fitA very large chart library |
Pricing and features as of October 2026, fromApache Superset and Superset docs: alerts and reports.
Who each one is for
Apache Superset is a free, open source BI platform with a huge chart library and a capable SQL editor, SQL Lab. You run it yourself, or buy hosted Superset from Preset. If you have an engineer who enjoys running it, you keep full control and the software itself is free.
arcodash is hosted only and SQL-first. Dashboards sit beside scheduled checks that watch your tables and alert when a number goes wrong. It’s meant for a small team that would rather not own a BI deployment, and that cares more about catching a stale table than about drawing a thirtieth chart type.
Where Superset is the better choice
- Free and open source. Superset is free software you run yourself, with no per-user licence. arcodash can’t be self-hosted.
- Chart variety. Superset has a very large library of visualizations. arcodash covers the common ones.
- SQL Lab. It’s a strong SQL IDE, and arcodash’s editor doesn’t try to match it.
- Full control. You choose the infrastructure, the auth, the upgrades.
- Hosted Superset. If you like Superset but don’t want to run it, Preset hosts it, priced per user.
Where arcodash is the better fit
- Checks and alerts that work out of the box. A check is a saved SQL query on a schedule with a threshold on one column. The data quality monitors page has recipes for freshness, row count, null rate and duplicates.
- Baseline monitors. If you can’t pick a threshold, a monitor can learn what’s normal from its own history.
- AI on top. Ask with AI, Fix with AI, suggested checks, and a “Why did this fire?” analysis on alerts, using your own Gemini, OpenAI or Anthropic key.
- One fixed price with unlimited viewers. $59 a month on Team or $300 on Org, for the whole org, no per-user line. The price on the page is the bill. See flat-price BI.
- Nothing to operate. No Celery, no workers, no Chromium image.
Alerts compared
In Superset, alerts are sent when a SQL condition is reached, and reports are sent on a schedule. Both are off by default. Self-hosted, you turn on the ALERT_REPORTS feature flag, run Celery beat as the scheduler (the docs recommend a single beat process) plus workers, configure SMTP or a Slack token, and use headless Chromium if you want screenshots attached. Notifications go out by email, Slack or webhook. Preset Professional lists scheduled email reports and alerts plus Slack.
arcodash monitors read the first row of a saved query’s published result, take one column, and compare it to a value with >, <, >=, <=, == or !=. A rearm period throttles repeats. Destinations include email, Slack, Teams, webhook, PagerDuty, Mattermost, Discord, Google Chat and Datadog. The alerts overview documents the exact behavior.
On capability the two are close. The gap is setup: arcodash alerts are on from the first day, and Superset’s need infrastructure unless you use hosted Superset. We haven’t written the same alert in Superset’s terms. Its alerts docs don’t give a SQL example or the condition rules, so any version from us would be a guess.
A “table stopped updating” check in arcodash:
SELECT extract(epoch from now() - max(loaded_at)) AS seconds_since_last_row
FROM orders;
Monitor seconds_since_last_row with > and 3600, and schedule the query with scheduled refresh.
Migrating from Superset
There is no import tool.
- What ports directly: your SQL. Anything you wrote in SQL Lab or as a virtual dataset is plain text you can paste into arcodash.
- What you rebuild: charts, dashboards, filters and alert rules. Superset charts built from the UI over a table have no SQL to copy.
- What changes: you stop running the stack. Retire the Superset deployment only after the dashboards people open daily are rebuilt.
Move the handful of dashboards that matter and run both for a few weeks.
A fair way to decide
If you have an engineer who wants to own the deployment, Superset is free software and the right call. Your cost there is the servers and the time to run them. If nobody wants to run Celery, and the real problem is knowing when data goes wrong, try arcodash free for 14 days and point one check at your busiest table.
If you’re also looking at Metabase, there’s a Metabase comparison with the same layout.
Questions
Why does the title say Apache Superset and not just Superset?
Searching for the bare word brings up workout routines. Apache Superset is the BI project.
Is there an import tool from Superset?
No. You copy the SQL out of your datasets and charts, save it as queries in arcodash, and rebuild the charts and dashboards.
Can arcodash be self-hosted like Superset?
No. arcodash is hosted only. If self-hosting is a requirement, Superset is the better fit.
Do I need a headless browser for alerts in arcodash?
No. Alerts compare a column value with a threshold and notify you. There is nothing to install.