Most "ask your data a question" AI BI tools are reactive: you type a question, they answer it. DataGPT and Tellius both go a step further and try to be proactive — watching your company's data continuously and surfacing what changed and why, before anyone thinks to ask. They're direct competitors that list each other as alternatives, both priced for real enterprise budgets, and both quote-only on pricing. Here's what actually differs between them.
DataGPT
DataGPT lets anyone on a business team ask a plain-English question about company data — "why did sales drop last week?" — and get a sourced, reasoned answer without writing a line of SQL. Beyond answering, it sends proactive alerts and daily summaries so problems surface before someone goes looking for them.
Pricing: enterprise subscription with no free trial — roughly $1,750/month for 10 users, with lighter team plans starting around $99/month. You start via a paid pilot, not a demo.
Strengths: natural-language answers that include reasoning and comparisons rather than a flat number, proactive alerts and daily summaries baked in, direct connections to enterprise data sources like MySQL and Oracle, and role-based access controls built for enterprise governance.
Limits: no free trial at all — the entry point is a paid pilot, pricing is out of reach for smaller teams, and reported ROI and time-saved figures come from the vendor rather than an independent source.
Tellius
Tellius centers the whole product on a named AI analyst, Kaiya, that watches your company's data around the clock and sends you a finished report explaining what changed and why — with ready-made specialized agents for specific jobs like churn, compliance and territory analysis, not just a general Q&A box.
Pricing: enterprise subscription, fully quote-based. Premium caps out at 10 users, 50M query rows and 10GB cache; Enterprise removes those caps and offers volume discounts.
Strengths: a proactive agent that investigates without waiting for a question, prebuilt specialized agents for common enterprise use cases, five consecutive years as a Gartner Magic Quadrant Visionary, and verifiable SOC 2 Type II and HIPAA compliance with real, checkable enterprise customers.
Limits: zero public pricing transparency — everything requires a sales conversation, it's built and sized for large enterprise rather than smaller teams, and its headline efficiency claim ("88% time saved") is vendor-reported.
Side-by-side
| DataGPT | Tellius | |
|---|---|---|
| Entry price | ~$1,750/mo (10 users), lighter plans from $99/mo | Custom quote only |
| Free trial | None — paid pilot | None — demo/quote |
| Standout feature | Enterprise DB connections (MySQL, Oracle) + role-based access | Prebuilt specialized agents (churn, compliance, territory) |
| Independent validation | Not independently ranked at this level | Gartner Magic Quadrant Visionary, 5 years running |
| Compliance | Role-based access controls | SOC 2 Type II, HIPAA |
| Best-fit team | Mid-to-large companies with an analyst bottleneck | RevOps, Finance/FP&A, large sales orgs (incl. pharma) |
Verdict
Pick DataGPT if: you want a general-purpose proactive analyst that plugs directly into your existing enterprise databases (MySQL, Oracle) and you're comfortable starting with a paid pilot instead of a free trial.
Pick Tellius if: you're in RevOps, Finance/FP&A or enterprise sales and want ready-made specialized agents for known problems like churn or compliance, or you need independently verifiable compliance (SOC 2 Type II, HIPAA) and a multi-year Gartner track record before you'll trust a vendor with your data.
Neither publishes real pricing, and both lean on vendor-reported efficiency numbers, so in practice the honest move is to get a quote and a pilot from both and compare them against your own data, not their marketing pages — Sigma Computing is also worth a look if you want a more established, warehouse-native alternative to either.