Domo Alternatives

Power BI is where most Domo customers start pricing, because it is the opposite deal: a fixed price per person instead of a credit pool. Power BI Pro costs $14 per user per month, paid yearly, and Premium Per User costs $24. A free account lets you build reports in Power BI Desktop, but sharing needs Pro or Premium. That is the trade you make when you leave Domo's unlimited users: every reader of a shared report needs a paid license, unless your company buys Fabric capacity at F64 or above, where viewers no longer need one.

The model side is solid. You connect sources with Power Query, which covers most of what Magic ETL does for a typical team, then define relationships and DAX measures once and reuse them across reports. The limits to plan for are on Pro: a model is capped at 1 GB of memory and 8 refreshes a day, against 100 GB and 48 refreshes on Premium Per User. If Domo refreshed your sales data every hour, that cadence needs PPU or capacity. For 50 people on Pro, the bill is $700 a month, a figure you can put in a budget the day you start. Our Power BI training guide lists the courses that get a team productive in weeks.

Tableau is the alternative for teams that left Domo because the charts never looked the way they wanted. Users in several guides and reviews describe Domo's visual options as limited once you go past standard cards; Tableau is the reference for the opposite, with a drag-and-drop canvas where analysts build exactly the view they picture. Tableau Cloud starts at $15 per user per month, billed annually, and the plan includes Tableau Desktop, Prep Builder for data preparation, and Tableau Pulse for metric digests. Tableau Next, the Salesforce-native version with agents and a semantic layer, starts at $40.

The $15 figure is a starting price, so model your real mix of authors and viewers before you compare it with a Domo renewal. Prep Builder is the piece that replaces Magic ETL: flows that clean, join and pivot data before it reaches a dashboard. Tableau is also the safest choice for hiring, since many analysts arrive already trained, and our Tableau training page covers the Tableau certification paths. If Tableau itself turns out to be the wrong fit, our Tableau switch guide lists where its own customers go.

Qlik Cloud Analytics, the cloud home of what many guides still call Qlik Sense, is the closest match to what Domo sells as a package: ingestion, transformation, dashboards, alerts, automations and machine learning on one cloud platform. The difference is how you pay. Qlik prices by capacity, which its pricing page explains as a fixed fee for a set capacity so yearly costs stay predictable. Starter costs from $300 a month for 10 users and 10 GB of data for analysis, billed annually. Standard starts at $825 a month with 25 GB and adds users at no cost, and Premium starts at $2,750 a month with 50 GB and adds Qlik Predict for machine learning.

That structure suits teams that grew on Domo's unlimited users and do not want to license readers one by one. Your unit becomes gigabytes of data for analysis rather than credits per refresh, so the planning question is how much data you load into Qlik, not how often it runs. Report distribution is counted too: the plans include a monthly number of automated reports, and Qlik asks you to contact sales beyond it. The associative engine, which shows related and unrelated values as you click, takes a few days for business users to learn, so budget training before the switch.

ThoughtSpot fits teams that adopted Domo for self-service and found that most people still ask an analyst for a new card. Its interface is a search bar: users type a question in plain language and get a chart, and the Spotter agents follow up with explanations. Essentials costs $25 per user per month, billed annually, for 5 to 50 users and up to 25 million rows of data. Pro costs $50 and lifts the limits to 1,000 users and 250 million rows, with Spotter agents capped at 25 queries per month per user. There is also a usage plan from $0.10 per credit, and an embedded Developer edition that is free for one year.

The AI cost is easier to read than Domo's. ThoughtSpot says it does not meter or charge for LLM tokens on its own platform, while Domo bills AI operations in credits on top of the model tokens. The catch is data quality: search works best on clean, well-named tables, so someone still has to model the data first. Count your heavy question askers before choosing Pro, since 25 Spotter queries a month is a quota per person, not a pool. Our ThoughtSpot Spotter integration with Claude shows how the agent plugs into an AI assistant.

Zoho Analytics is the answer for a company that bought Domo for a handful of people and now pays for a platform it barely uses. It publishes every tier. The free plan covers 2 users and 10,000 rows. Basic costs US$24 a month billed annually (US$30 monthly) for 2 users and 0.5 million rows, Standard US$48 for 5 users and 1 million rows, Premium US$115 for 15 users, and Enterprise US$455 for 50 users and 50 million rows. Extra users cost US$6.40 a month on yearly billing, and a block of 25 viewers costs US$80.

Your unit here is rows and named users, both visible before you sign, which is the main relief after Domo credits. Standard and above list 50 or more business app connectors, and the prep layer handles joins and formula columns without SQL. The limits show on large data and complex models: performance and depth stay behind Power BI, Tableau and Qlik. Review the row count of your largest Domo dataset first, since the plan you need follows rows more than people. A 10-person team on Standard pays US$48 plus 5 extra users at US$6.40, so US$80 a month on yearly billing.

Metabase is the way out of metered pricing altogether. The Open Source edition is free with unlimited users, more than 20 supported data sources, SQL or click-based questions, and dashboards. You host it yourself, so your cost is a server and the time of whoever maintains it. If you prefer a hosted plan, Metabase Cloud Starter costs $100 a month with 5 users included, then $6 per extra user, and Pro costs $575 a month with 10 users included, then $12 each. Yearly billing saves 10%, bringing Starter to $90 a month.

Metabase does not try to replace all of Domo. It reads data from your database or warehouse and does not ship hundreds of SaaS connectors, so you pair it with a pipeline tool to load data first. Its own transforms include 1,000 runs on Starter and Pro, then $0.01 per run, which you will want to compare with Magic ETL's credit per output table. Pro adds row and column permissions, SSO and multi-tenant embedding. If you automate around it, our Metabase integration page for Make lists the triggers and actions.

Amazon Quick Sight, the BI part of Amazon Quick and the successor of Amazon QuickSight, is the pick when your data already sits in Redshift, Athena or S3 and you want reader seats that cost almost nothing. Quick sells three organization plans. Essentials costs $3 per user per month and lets people view and interact with Quick Sight dashboards and reports. Professional costs $20 per user. Enterprise costs $40 per user and is the tier that creates dashboards, reports and Quick Sight datasets. Each plan adds a $250 infrastructure fee per account each month. If you only need BI, Quick Sight's BI-only pricing sells authors at $24 per user and readers at $3, and the $250 fee applies there only once the account has a Pro user or Q&A turned on.

So the math is a small group of Enterprise authors and a large group of Essentials readers. Five Enterprise authors and 100 Essentials readers cost 5 × $40 + 100 × $3 + $250, or $750 a month; on BI-only pricing, with no Pro user and Q&A off, the same team costs 5 × $24 + 100 × $3, or $420. That is the closest thing on this list to Domo's unlimited users at a published price, as long as your team accepts AWS's console and permissions model. Every plan also includes 24/7 AWS Support and agent hours for Quick's AI assistants: 1 per user per month on Essentials, 8 on Professional and 18 on Enterprise, where extra hours cost $3 each. An offer lifts Essentials to 3 hours until early 2027, so budget on 1. Outside AWS, the connector story is thinner than Domo's, and analysts used to Magic ETL will find data preparation more technical.