I like Count for its versatility, allowing quick iteration of analysis that requires non-standard data sources and blends between data from different sources. It lets me define sources, calculations, aggregations, etc., on the fly more intuitively than many other tools. Review collected by and hosted on G2.com.

Count canvas is great for exploration but can feel a little unwieldy when sharing with others Review collected by and hosted on G2.com.

A data project is never linear, and the Count canvas gives the flexibility to explore and hold all the questions and explorations that an analyst might undertake in the course of a piece of work. Combined with its collaborative capabilities, Count has transformed the way that the data team works, both as individuals and alongside stakeholders. People across the business use it every day, making iteration easier and faster than ever. Review collected by and hosted on G2.com.

Count is releasing so many new features so sometimes things can be a little buggy, but their team is pretty good on fixes. Also there are so many things it can do that the learning curve can be overwhelming. Review collected by and hosted on G2.com.

I use Count everyday and it allows me to:

- connect with multiple different sources of data (Redshift, DuckDB, etc)

- deploy several SQL queries to extract and transform data as needed

- run Python scripts for more extensive statistical analysis

- create visualisations in a very quick and straightforward way

- build a Canvas that explains my whole thought process and makes it easier to present the main findings

All this in a single project / view!!

Count is the tool that every modern data professional should use.

Also, the Count team is super friendly and always open to help. Review collected by and hosted on G2.com.

- Copy & Paste doesn't work properly sometimes

- Formatting visuals could be improved / extended further Review collected by and hosted on G2.com.

I love that Count is flexible and easy to understand, especially for someone like me who is not an engineer. The canvas layout is visually helpful, which makes it really nice to work with. The team's great and very helpful, which I really appreciate. Most BI tools are unusable for someone like myself, but Count allows me to understand data without relying on others. The initial setup was very easy. Review collected by and hosted on G2.com.

N/A Review collected by and hosted on G2.com.

I use count for mainly 3 things:

- Doing exploratory analysis

- Doing dashboard reports or storytelling

- Consume analysis made by others

I really like how we can source data from different places, and then glue them together with duckdb or python.

Data viz? Either use the native viz count capabilities, or just open a python cell and expand your options!

Don't have some functions that you would like to apply on your sql source? python to the rescue!

Not only I use this for work, but also for a personal project. Review collected by and hosted on G2.com.

The memory limit is something not easy to keep track of, and sometimes I would prefer to have a dedicated app that would do the same, but where I would be able to have more control over memory consumption allowed. Review collected by and hosted on G2.com.

That I can look at visualisations but then easily jump into the underlying data in an understand way as a layman. The AI functionality is also helpful, it shows its workings and the data can be reviewed the same way as mentioned above. Review collected by and hosted on G2.com.

What I dislike about the product probably stems from my own need for some basic training. Review collected by and hosted on G2.com.

Overall, Count is a flexible, collaborative tool that I believe lots of BI / Data teams could get value out of, what I like the most are the following:

- The versatility of the canvas: it's extremely easy to switch between standardized BI assets and explorative analysis

- A handy tool for collaboration: Count brings a prominent visual perspective to BI work, making it convenient for collaborations (review, work together on a topic, etc)

- Reduces BI's time-to-production: without a rigid development framework, it became a lot more efficient for our team to handle ad-hoc requests, creating additional assets Review collected by and hosted on G2.com.

- There has been some latency / performance issues with BI assets sitting on large datasets, which the Count team has been working hard to address. I appreciate the responsiveness and the gradual improvements, look forward to more optimizations to come here. Review collected by and hosted on G2.com.

Count is a great way to explore data. Being able to see all of your SQL tables, join them with output from python cells, manipulate them in python cells and instantly create visualisations from all or a combination of cells is invaluable.

Count is extremely easy to set up, highly intuitive and makes small scale reporting a walk in the park.

Whenever you have issues, the elite support team gets back to you very quickly to share well thought out solutions and is always happy to escalate issues or limitations to find a short and long term solution. Review collected by and hosted on G2.com.

Not all python libraries are supported in count, meaning you sometimes have to defer to another solution for complex analysis.

The limitless canvas within which you work opens up a lot of options, but care needs to be taken in not expanding too far or increasing complexity too much as things do slow down quite quickly.

There are frequently glitches when loading canvases. These are typically easily resolved, but do detract a bit from the overall experience. Review collected by and hosted on G2.com.

Count is intuitive and quick to get started with. It's especially great for visualizing data and supports non-linear workflows — which is how real analytical (or just human) thinking happens. The collaborative environment works well, as long as team members code in separate cells. Support people have been consistently responsive and attentive, and the product itself evolves noticeably over time — I always read the newsletters to learn about new updates. I use Count daily and genuinely can't imagine my workflow without it. Review collected by and hosted on G2.com.

Performance can lag when working with larger datasets. Also, for more complex tasks in Python, I usually switch to jupyter notebooks — mostly because of limitations around module imports and the lack of user control over output. Review collected by and hosted on G2.com.

I really like the UI in Count and I think the visuals are really nice. Its a perfect tool to intersect creative presenting and data analytics. I think the idea is super genius and stakeholders love it too, e.g being able to create visuals off the fly. It's also been great in the data engineering space when testing code and model / SQL logic. Review collected by and hosted on G2.com.

It gets very slow with large data sets (over the 10K limit) for a B2C company like ours, we're very rarely ever looking at samples this small so this has been a limitation waiting for displays to load even when running on snowflake. They also spontaneously refresh would be nice if it was somehow stored or cashed.

I also feel the training needs to be updated, particularly how to create visuals and all the different options and customisations and how the data needs to be arranged for pivot tables to work, for example.

I also would like to see an improvement in the organisation features. It would be great to be able to add tags to count dashboards or people, and for them to be notified. One of our issues now is we have so many Count dashboards its hard to find and organise them. Review collected by and hosted on G2.com.