Count has significantly improved our productivity. The Canvas feature allows us to process and visualize data efficiently, enabling us to create dashboards and presentations quickly. This means we can deliver insights to stakeholders much faster than with other tools.

In addition, Count has enhanced our collaboration. Working together on canvases is seamless, which has helped reduce silos and improve team communication. Instead of working in isolation, our teams are now more integrated. Review collected by and hosted on G2.com.

Sometimes, the canvases can be slow to load, especially with large data sets, which can be frustrating for stakeholders. However, the communication and responsiveness from the Count team have been excellent. They are aware of the issue and are actively working to resolve it. Review collected by and hosted on G2.com.

Count is incredibly helpful at just about every step of my data work, whether it's shared brainstorm sessions, quick checks or debugging 13 levels deep when no one has a clue what's going on and no other tool would provide such transparent overview. All the new things I built in the past 2 years included Count and I do not even remember how we did it before. The level of visibility and insight I get while using Count is incomparable, any other querying / BI interface just feels as typing with left hand only.

The way it integrates with dbt, the local and fast DuckDB cells, feature to explode CTEs into separate cells, quick visualisations. All of it makes me much faster and efficient. Review collected by and hosted on G2.com.

It logs me out a bit more often than I would like and there is a limit to how large a Canvas can get. Integration to Bitbucket would also make my life easier, but most of the business using Github and Gitlab is probably not affected. While I sometimes find a minor bug or missing functionality I find reporting it to the Count team usually results in a fix deployed within a few days. Review collected by and hosted on G2.com.

Customer-/user- and team-oriented whiteboards for all relevant marketing data are a real game changer. We were surprised at how easy it can be to manage large amounts of data from various databases and clouds with visual support and to create, test, and visualize data models. The integration of count into existing analysis and communication workflows is possible in a short time and generally unproblematic, provided that data is already centrally available (e.g., in Google BigQuery). Count offers very good and responsive customer support via Slack, including a large community. Review collected by and hosted on G2.com.

The visualization options leave almost nothing to be desired. The only thing we really miss are data maps for geographic visualizations. Review collected by and hosted on G2.com.

The instant you use Count you will understand it. It is the ultimate “desktop” on which to do data work. It is simple enough for the least technical stakeholder and the most junior analyst, and powerful and flexible enough for the most skeptical senior developer.

The canvas sounds like a simple idea, but the implementation, especially the local duckdb database, is genius.

I don’t know anyone that has used count that hasn’t called in love with it. Review collected by and hosted on G2.com.

Like all BI tools, some things are more fiddly to achieve than they should be, and some amazing things are surprisingly simple. It takes time to learn which is which with Count.

It is a little too easy to get carried away and build large canvases with too many connections. A victim of its own popularity, you can easily end up with a large number of heavy-hitting canvases if you’re not careful, which your warehouse might not enjoy. But a better understanding of how to use the tool and careful management can mitigate this. Review collected by and hosted on G2.com.

What stands out to me about Count is how it simplifies data discovery and ad hoc analysis, making the process enjoyable. Gone are the days of juggling multiple SQL editor tabs or managing 10+ queries in one editor. The canvas is fluid and responsive, and the ability to add Python cells alongside SQL—while instantly visualizing the results—is a game-changer. It’s also a hit with stakeholders, as it streamlines my analytics workflow, aids in data modeling, and significantly reduces the time it takes to generate insights. Review collected by and hosted on G2.com.

Some visual formatting options are a bit tricky to find. Review collected by and hosted on G2.com.

Count makes data visible to stakeholders, and the process of getting that data visible to analysts.

I love that I can collaborate on analytical tasks, combining SQL & Python with stickies, diagrams and comments. I use Count every day, multiple times a day; the learning curve for analysts is very low.

It's no longer a mystery how and why an analyst made certain choices in their work; and the transparency of those choices allows us to improve them as a collective.

The Count team are super open and responsive to feedback, and they hop on bugs almost immediately via Slack. Review collected by and hosted on G2.com.

More sophisticated Python packages aren't supported, which means we still need to jump to Jupyter or VSCode for some things.

Non-data stakeholders can sometimes get overwhelmed by the canvas nature of the product, though there are report modes to mitigate this. Review collected by and hosted on G2.com.

Count has been a game-changer for our data team. Its unique blend of a data notebook and collaborative whiteboard has transformed the way we approach analysis—moving us away from static dashboards and towards deeper, more impactful problem-solving. The ability to query data in SQL, visualize results, and collaborate with stakeholders in real-time within a single workspace has streamlined our workflows and boosted team productivity.

We particularly value Count’s intuitive approach to breaking down complex SQL models into connected CTE graphs with live results. This makes exploring, debugging, and iterating on data models both faster and more collaborative. Exporting work as full SQL scripts is equally smooth, keeping our work highly shareable and actionable. Review collected by and hosted on G2.com.

The only minor challenge we’ve encountered is the current limitation of connecting to just a single database on our package. We do not require to move to a different package for any other reason than this. While not a major blocker, we are in the middle of a data migration where the ability to connect to two data sources simultaneously would be extremely valuable Review collected by and hosted on G2.com.

The way that each cell acts as a CTE is perfect for query de-bugging and building complex queries, creating visuals which require data from different points along the query path and also being able to incorporate SQL and Python analysis in the same place.

The communication with the Count team is excellent; whenever we have an issue or question, they are quick to help us out and take feedback onboard.

The learning curve is easy to overcome and is personally my go-to tool for ad-hoc analysis and de-bugging/optimising complex queries. Review collected by and hosted on G2.com.

Occasionally we run into performance issues with cells/entire canvases running very slowly or seemingly connecting forever.

DuckDB and Snowflake syntax is just different enough that it can cause issues when changing a cell source, in so much as an error can be returned and require a re-write to run.

Despite having a large selection of visuals, sometimes formatting and creating visuals can be frustrating at times (especially as someone who came to Count from having previously used Power BI), however, this is becoming less of an issue thanks to the regular updates and improvements which get released. Review collected by and hosted on G2.com.

Count has truly empowered our team to dig deeper, understand better, and extract more value from our data than ever before. It fosters a culture of data curiosity and makes complex analysis a collaborative and insightful process. If you're looking for a tool to supercharge your data exploration and really understand what your data is telling you, I cannot recommend Count highly enough. Review collected by and hosted on G2.com.

While Count provides an excellent interface for visualizing and interacting with data, the real magic for our complex ad-hoc analyses comes from crafting precise SQL queries. For our team, this is a strength, as we're comfortable with SQL and it allows us to ask incredibly specific questions of our data. But for individuals or teams less familiar with SQL, there might be a steeper learning curve. Review collected by and hosted on G2.com.

- It’s made my workflow significantly more fluid and streamlined, no more jumping between tools for an analysis or a data validation.

- The flexibility of the canvas allowing users to combine and organize SQL queries, Python, visualizations, and commentary all in one place.

- Ad hoc analysis, model development, and Q/A are way more efficient now. As you can quickly iterate or triage from any point in your data flow.

- The collaboration features are incredibly helpful. If you get stuck or have a question, you can tag someone right at the relevant spot in your analysis whether that’s your SQL code or in a visualization.

- It democratizes data and analysis. Anyone curious about how a number or chart was produced can dig into the SQL behind it.

- The team is super responsive, and the community is full of helpful people. Review collected by and hosted on G2.com.

- Visualizations aren’t as polished as those in some other tools.

- Customization options for visualizations could be more robust.

- Sharing can be a bit confusing, since there are multiple levels and options for what and how to share. Review collected by and hosted on G2.com.