I use Count every single day and am extremely happy about it.

1. Quickly build (or understand/debug) the model structure with all its parent models if needed, with the transparency of understanding all the connections.

2. Visualisations are great. You can build the tree of metrics or the conversion funnel over the web/app screenshots, making it super user-friendly for the stakeholders.

3. Possibility to make alerts, easily integrated in Slack

4. Team & customer support listen to all the feedback and ask regularly enough Review collected by and hosted on G2.com.

Sometimes, simple visualisations aren't easy/straightforward to build. You can do it, but in several months you'll forget the way you did it. It happens ~ once in 1-2 months with the everyday use of Count. Review collected by and hosted on G2.com.

Count has significantly improved transparency in our data workflows, making it easy to share analyses, track changes, and collaborate in real time.

Decision-making is faster thanks to its intuitive exploration tools, allowing us to quickly test ideas and build stakeholder-ready insights without jumping between platforms. The flexible canvas and seamless integration of SQL/Python keep everything in one place, eliminating friction in the analytics process.

Their support team is really great, when issues arise, they genuinely listen, provide regular updates, and typically resolve problems within days. Review collected by and hosted on G2.com.

Occasional bugs or inconsistencies, though their support team is very responsive—they either suggest a workaround or fix the issue quickly.

Still missing some basic visuals (e.g., pie charts), not a big deal, easy enough to create in python.

Pivot tables lack certain customisation options, like row/column totals. Review collected by and hosted on G2.com.

We initially started using count as an internal tool for our data platform team to support the analysis of a massive data migration and it enabled us to do new vs old comparisons in one place, supported by the canvas feature, so we didn't have to switch between different query results when running in the snowflake UI .

It has since evolved into a tool that enables us as a data team to share more intricate insights with the wider business and iterate faster than with our traditional BI tool Looker. Being able to have data from multiple sources like BigQuery and Snowflake in one canvas means that we can combine data in new ways without having to struggle through a new data ingestion process for a once off analysis.

It was really easy to get set up and running on count, and we were using the product in a matter of hours. Review collected by and hosted on G2.com.

I find it difficult to manage users on count, and before the folder feature, it was difficult to manage all the canvases we have in a way that is helpful for our business users.

They have recently introduced a data catalog function, with the ultimate goal of it being easy for business users to self serve in count, and while its a great new feature, I think it still has quite a steep learning curve for people to be able to jump from Looker to Count.

That being said, they actually respond to user feedback and there are regular release supporting new and requested functionality Review collected by and hosted on G2.com.

First of all the Canvas is a different way of exploring and using your data. Instead of it being sequential like the notebooks most of us were used too, the Canvas is kind of a Figma for data.

Then, the collaboration part. All of our data team can go in the same Canvas at the same time and edit it as we like.

The charts are pretty out of the box, not a lot of customization needed.

Also the pricing is great compared to other similar tools.

And most importantly, THE ALERTS SYSTEM. Thanks to Count every week we receive an image of some of our charts and dashboards in our email and slack channel. This was a feature that we looked for in many BI tools and most of them didn't have it or have it but was bugged. Review collected by and hosted on G2.com.

Like most BI tools (Power BI, Tableau, etc.) they sometimes get slow, specially if you got little RAM available.

It also has a bit of a learning curve but nothing too hard. Review collected by and hosted on G2.com.

Count has been our organization's best analytics and visualization tool, and we have had many. We recently migrated from Redash and Tableau. Although both are powerful tools, Count offers several advantages:

- Count allows sharing with unlimited users at no extra cost, democratizing data access across our organization and external collaborators.

- It makes collaboration super easy. Multiple team members can work simultaneously on notebooks, dramatically accelerating our reporting cycles and improving analysis quality.

- Connecting to our BigQuery warehouse was effortless.

- The active Slack community provides instant support whenever needed. When we hit a roadblock with a custom visualization, experienced users offered solutions within minutes.

- It is intuitive and very easy to use.

I do not know what our team and organization would do without Count. Review collected by and hosted on G2.com.

Initially, performance was sometimes an issue when working with larger datasets. However, the Count team has dramatically improved the tool over time. Their continuous performance optimizations have boosted speed incredibly, making the platform much more responsive, even with extensive data. The team's unwavering commitment to excellence is evident in every update they release. These impressive improvements have effectively addressed what was once our only significant concern with the platform. Review collected by and hosted on G2.com.

Count doesn’t feel like just another analytics tool, it feels like a new way of working with data. The collaborative notebooks are incredibly well thought out, and the SQL experience is both powerful and approachable. What’s really stood out recently is Count Metrics, we’ve only just started exploring it, but it’s already clear how much potential it has to simplify metric definitions across teams. You can tell the product is being shaped by real-world feedback, and the team is genuinely listening to users. It feels like we’re part of something that’s being built with us, not just for us. Review collected by and hosted on G2.com.

Since we’re still early in our use of Count Metrics, some of the polish you’d expect from more mature tools isn’t there just yet. That said, Count’s team is incredibly responsive to feedback, and it’s been great to see how fast things get improved or added. It’s clear they’re not just building fast they’re building in the right direction. Review collected by and hosted on G2.com.

Learning Curve: You can start using it from minute one—no training or specialists required.

Customer Support: Probably the best customer support we've experienced. While issues are rare, when they do occur, the response and resolution times are outstanding and hard to improve upon.

Versatility Across Roles: The tool supports a wide range of roles. Data engineers and analysts can work with SQL and fully integrated DBT. Non-technical users can easily create visuals, while experienced analysts can build impressive dashboards to tell compelling data stories. Review collected by and hosted on G2.com.

- It could benefit from improved admin tools for managing database connections and schema syncs. Handling multiple connections currently requires some extra effort.

- Long text field visualization on sql return. Review collected by and hosted on G2.com.

A deal breaker in nowadays life where we are bombarded with thousands and thousands of tools that PUSH you on how to use more and more compute, to spend credits and generate large dollar bills this tool shines out with a different approach, it uses a "query once, cache, utilise and recalc/reuse" tactics that I so much enjoy and aligns with my exploratory nature. Here are some advantages I see as really useful:

- The ability to query the smallest granularity and then you put that cached in Count's local DuckDB server and you are allowed to play/aggregate/recalculate as much as you like without any further costs. This is amazing indeed!

- The developers behind are quick to response, kind and helping

- Multiple possibilities to tell a user story and deviate from the table view (i.e metric trees, canvases, etc.) Review collected by and hosted on G2.com.

Some minor, real minor UI stuffs related to date filters, and date picker Review collected by and hosted on G2.com.

Count has completely replaced Jupyter notebooks in my general analysis workflow. The way you can so easily whip up graphs and manipulate them, with the full control of SQL to shape the data the way you need it makes it so powerful.

The Count team is awesome, fixing bugs and taking on feature requests in a very transparent manner. I've used Count for 18 months and the speed at which new features gets added is really impressive. Review collected by and hosted on G2.com.

While the non-linear nature of Count is one of its core features, it can easily lead to very complex workflows that are harder to follow than a notebook. Review collected by and hosted on G2.com.

The user interface (canvas) is a really clever innovation. Gone are the days of jumping back and forth through different tabs or scrolling through notebook cells; the logical flow of data is super clear and easy to reason about and adjust. Review collected by and hosted on G2.com.

I don't dislike much about Count, but it is somewhat niche within the industry, so people rarely come with Count experience and must therefore train with it. It also is undoubtedly doing a LOT of different things (data modelling, analysis with SQL, business intelligence with low code cells, a presentation layer... ), which can make it hard to explain. Review collected by and hosted on G2.com.