Looking for a Power BI alternative? Power BI is deep Microsoft-ecosystem BI with DAX and data modeling. Tablize is a Data Agent — ask in plain English, no DAX, connects to your DB and APIs, self-hostable.
Power BI is hard to beat if you already live in the Microsoft world — Azure data sources, Excel models, Teams for sharing — and you have someone who knows Power Query and DAX. It’s deep, well-governed BI, and for a Microsoft-centric org with modeling skills on staff it’s a natural, cost-effective fit. We’re not going to argue a plain-English agent replaces a well-built semantic model.
Tablize is for teams that don’t have that. You have data and questions, but no analyst to build the model and no appetite to learn DAX. You ask “which acquisition channel has the worst 90-day retention,” and the agent figures out the schema, writes the SQL, and tells you — with the evidence. Because there’s no modeling layer, an inventory dashboard or a retention report is a question away, not a project. The answer can keep itself running as a weekly brief, a Watch, or a generated dashboard, without anyone maintaining a report.
Tablize also connects beyond the Microsoft stack — files, Postgres and MySQL, REST APIs, ~38 SaaS apps, and live MQTT/IoT streams — and it’s self-hostable: a single binary you run on your own infra with your own LLM keys. That’s self-hostable and commercial, not open source. If you’d rather start from a working example, the templates gallery has ready-made prompts.
If you’re already on Microsoft with BI skills, Power BI is the lower-friction choice. If you’re a small, mixed-stack team that just needs answers, Tablize gets you there without the modeling layer.
Moving from Power BI to Tablize means dropping the modeling layer, not exporting it. Instead of loading data through Power Query and writing DAX measures, you point Tablize at the source — your Postgres, MySQL, an API, or a file — and ask for the measure in plain English. The agent writes the SQL, so a 'trailing 90-day retention by channel' question doesn't need a DAX expression. Keep the useful answers as reports, a scheduled weekly brief, or a Watch. Microsoft-heavy teams often keep Power BI for governed, org-wide reporting and use Tablize for the fast, ad-hoc questions that would otherwise wait on a Power BI developer.
Yes — that's the point of Tablize. You never write DAX or build a data model. You ask a question like 'which acquisition channel has the worst 90-day retention' in plain English, and the agent writes the SQL, runs it, and explains the answer. You can see how the plain-English-to-SQL path works on the [natural-language SQL page](/natural-language-sql).
No. Power BI is at its best inside Azure, Excel, and Teams. Tablize is standalone: it connects to files, Postgres and MySQL, REST APIs, ~38 SaaS apps, and MQTT/IoT streams, regardless of what stack you run. It's a good fit for mixed-stack teams that don't want to standardize on Microsoft.
Yes. Tablize ships as a single binary you run on your own infrastructure with your own LLM keys — self-hosting is on the Pro tier and up. Power BI's on-prem option is Report Server, while the main Power BI service is Microsoft-hosted. Tablize is self-hostable and commercial (not open source).
It depends on team shape. Power BI Pro is about $14/user/month, and Premium capacity is far higher. Tablize is priced per workspace — Free, $20, $60, or $200/month — and Viewers are free, so read-only stakeholders cost nothing. For a small team with a few authors and many viewers, per-workspace pricing usually comes out ahead.
For ad-hoc questions and light, always-running reports, often yes — you ask, keep the answer as a report or weekly brief, and it refreshes itself. For governed, row-level-secured reporting across a large organization, Power BI's modeling and security are hard to match. Many teams run both. Ready-made starting points live in [the templates gallery](/templates).
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