G2

Michael S.

Marketing Specialist

Mid-Market (51-1000 emp.)

7/30/2026

"One analytics layer across our SQL and NoSQL data and now Al our customers can use"

5/5

What do you like best about Knowi?

We embed Knowi dashboards directly into our SaaS product, and the biggest win for us is that Knowi queries our datastores natively—MongoDB alongside our SQL databases—without forcing us to move anything into a proprietary warehouse first. There’s no ETL pipeline to build or babysit. Knowi connects straight to the raw datastores, and we can join and blend NoSQL and SQL data on the fly into a single dataset. That alone eliminated an entire category of engineering work we used to do just to get data “BI-ready.”

The semantic layer is what ties everything together: we define our datasets once, and every dashboard, report, and natural-language question resolves against the same definitions. As a result, our customers see consistent numbers no matter how they ask.

Over the last year, the AI capabilities have become a real differentiator. The agentic chat lets us (and our customers) ask questions in plain English, and the agents can go beyond answering—they can build charts, dashboards, and alerts from a prompt. Knowi also ships as an MCP server, so our team can work with our analytics from AI tools we already use. Most importantly for us, these AI capabilities are embeddable: we’re currently deploying ask-your-data functionality to our own customers inside our product, with our agents talking to Knowi agents. Review collected by and hosted on G2.com.

What do you dislike about Knowi?

Some corners of the UI/UX still have room to improve. A few of the admin and settings screens feel denser than they need to be, and there’s a learning curve in places. That said, they’ve taken big, visible steps over the last year—a refreshed dashboard UI, themes, and a much cleaner AI chat experience—and the trajectory is clearly moving in the right direction.

With AI, you still need to double-check the results, since it can sometimes get things wrong. However, they make it easy to validate during conversations that the AI has computed the right results. Review collected by and hosted on G2.com.

What problems is Knowi solving and how is that benefiting you?

We moved to Knowi from a well-known cloud BI platform. The previous tool required pushing all of our data into its own store before we could visualize anything, which meant ETL pipelines to maintain, sync lag, duplicate storage costs, and our NoSQL data getting flattened along the way.

With Knowi, we unified analytics across all of our datastores without moving the data and launched customer-facing embedded dashboards much faster. Row-level security and secure embeds ensure each customer sees only their own data. The semantic layer keeps metrics consistent across every surface. And with the new AI and agentic capabilities embedded in our product, customers can self-serve answers that used to come in as support tickets and custom report requests, so our team can spend its time on the product rather than on one-off reporting. Review collected by and hosted on G2.com.