Omni vs Contextflo: what's the difference?
Omni is a $1.5B BI platform that takes weeks to months to implement. Contextflo gives your team answers in 10 minutes. Here's how they compare.
Omni is a $1.5B BI platform built by ex-Looker executives. Contextflo connects your database to Claude and provides context about your data so LLMs can accurately answer questions. They both use AI, but they're solving different problems for different teams.
What Omni is
Omni is a modern BI platform that replaces Looker and Tableau. It gives you dashboards, workbooks, SQL, spreadsheet-like formulas, and an AI assistant, all grounded in a governed semantic model. It raised $120M in April 2026 and is built for enterprise teams replacing legacy BI.
Omni's AI uses Claude (via AWS Bedrock) and is grounded in a three-layer semantic model: Schema (mirrors your database), Shared (governed global metrics), and Workbook (ad-hoc sandbox). You can also query Omni's governed data from external AI tools like Claude, ChatGPT, and Cursor via their MCP server.
The catch: someone has to build that semantic model. From people who've implemented it, that takes months and dedicated resources. Omni doesn't publish pricing. It's custom enterprise quotes.
What Contextflo is
Contextflo isn't a BI platform. It doesn't replace Looker or Tableau. It connects your database to Claude so anyone on your team can ask data questions in plain English and get reliable answers.
No semantic model to build. Contextflo auto-generates table relationships, column descriptions, and metric definitions from your database schema. Setup takes about 10 minutes. Pricing starts at $1,000/month, flat, no per-query charges.
The core difference: what it takes to get started
| Omni | Contextflo | |
|---|---|---|
| What it is | Full BI platform (replaces Looker/Tableau) | AI analytics layer (connects your database to Claude) |
| Setup time | Weeks to months (semantic model implementation) | 10 minutes (auto-generates context) |
| Needs a data team? | Yes, to build and govern the three-layer semantic model | No |
| Data sources | Warehouse-centric (ETL everything in first) | Warehouses + APIs (Stripe, Amplitude, GA, HubSpot) in one conversation |
| AI model | Claude via AWS Bedrock (+ BYOM option) | Connects to your own Claude subscription (BYOA) |
| What you get | Dashboards, workbooks, SQL, governed reporting | Answers to questions. Plus dashboards and reports if you want them. |
| Pricing | Custom enterprise quotes (no public pricing) | Starts at $1,000/mo, unlimited queries |
Omni's AI is good, if you build the foundation first
Omni's AI assistant is genuinely well-built. Because it's grounded in a semantic model, the answers are governed and consistent, equivalent to what a trained analyst would produce. You can even query Omni data from Claude and ChatGPT externally.
The question is whether you can afford to wait months and dedicate resources to build that foundation. For enterprise teams with data engineers replacing Looker, that investment makes sense. For a 20-person startup that needs answers this week, it doesn't.
When to use Omni
- You're an enterprise replacing Looker or Tableau and want a modern alternative
- You have a data team that can implement and maintain the semantic model
- You need governed dashboards and standardized reporting across the org
- You have months and budget for a proper BI implementation
When to use Contextflo
- You need answers from your data this week, not in 3 months
- You don't have a data team (or they're too busy to take on a BI implementation)
- You want to query across multiple sources (warehouse, Stripe, Amplitude, GA) without ETL-ing everything first
- You want transparent pricing you can budget for ($12K/year vs. “contact sales”)
At Tilt, a livestream e-commerce marketplace, the team connected their Postgres database and started asking questions the same day. 4,000+ queries in the first month. No semantic model. No implementation project. No data team.
Can you use both?
Yes. Contextflo doesn't replace a BI platform. If you have Omni for governed reporting and dashboards, Contextflo handles the ad-hoc questions that nobody built a dashboard for. Your BI stays for standardized reports. Contextflo handles everything else.