# Count Reviews
**Vendor:** Count Technologies  
**Category:** [Analytics Platforms](https://www.g2.com/categories/analytics-platforms)  
**Average Rating:** 4.8/5.0  
**Total Reviews:** 101
## About Count
Count is a modern data collaboration platform that helps data teams actually work together. It combines a data notebook with a real-time collaborative canvas for analysis and visualisation, so everyone can query, debug, and explore data in one place. Count replaces the mess of disconnected tools with a single workspace where analysts, engineers, and stakeholders can write SQL or Python, build visualisations, and share insights instantly. You can import and debug dbt models, see live results from connected CTEs, and export back to dbt Cloud, GitHub, or full SQL scripts. Used by over 500 data teams, including Accenture, Cleo AI, and Too Good To Go, Count helps teams move beyond static dashboards and focus on solving real business problems. It’s data collaboration that actually works.



## Count Pros & Cons
**What users like:**

- Users appreciate the **seamless team collaboration** in Count, enhancing storytelling and data transparency for effective analytics. (34 reviews)
- Users find Count's **ease of use** makes data investigations quick, insightful, and accessible even for laymen. (28 reviews)
- Users commend Count for its **responsive and helpful customer support** , enhancing the overall user experience and productivity. (20 reviews)
- Users value the **flexibility** of Count, facilitating quick data investigations and effective visualization of metrics. (20 reviews)
- Users appreciate the **user-friendly data visualizations** that facilitate easy exploration and understanding of underlying data. (19 reviews)
- SQL Querying (13 reviews)
- Users find Count's interface **intuitive** , facilitating easy collaboration and rapid data visibility for stakeholders and analysts. (12 reviews)
- Sharing Ease (12 reviews)
- Tracking (12 reviews)
- Collaborative Sharing (11 reviews)

**What users dislike:**

- Users find the **learning curve overwhelming** , especially with the numerous features and the new canvas approach. (18 reviews)
- Users report **slow performance** during usage, particularly with larger datasets, despite improvements over time by the Count team. (9 reviews)
- Users express concerns about **limited customization** options in Count, impacting flexibility for advanced use cases and growth. (7 reviews)
- Users note a **lack of basic visuals** and limited pivot table options, highlighting areas for improvement in Count. (7 reviews)
- Users experience **layout issues** that can lead to a cluttered canvas, impacting navigation and data exploration. (5 reviews)
- Users experience **slow loading** issues with Count, impacting overall efficiency and usability during tasks. (5 reviews)
- Bugs (4 reviews)
- Complex Data Modeling (3 reviews)
- Complex Usage (3 reviews)
- Learning Difficulty (3 reviews)

## Count Reviews
  ### 1. All-in-One Analytics Powerhouse with Outstanding Support

**Rating:** 5.0/5.0 stars

**Reviewed by:** Julian Martin D. | Associate Data Scientist, Mid-Market (51-1000 emp.)

**Reviewed Date:** December 19, 2025

**What do you like best about Count?**

I have switched to Count for all the analysis I run, so I would say I use it on a daily-basis.

With Count, you can have queries, plots, text, reports, and comments all in the same place. I find this extremely valuable, as it effectively makes everything self-documenting: the queries that support the results, the interpretation, and the reviews that were made all live together. Moreover, we can collaborate in real-time on the same canvas, which is amazing.

I really like that Count allows you to create tiles and reference results, in a way that feels similar to a DAG in dbt. This helps avoid a lot of code duplication and significantly streamlines query creation. Personally, I think this makes a big difference because it allows me to split complex queries into clearly defined components and then combine their results as needed.

When using other tools, I sometimes felt constrained by the lack of flexible filtering, which was often managed at the organization level and pushed me toward hacky solutions. With Count, control cells make it easy to implement the exact filters you need, giving you a lot of freedom and power to build very flexible dashboards.

Finally, I think the Count support team is excellent. They are consistently helpful, whether I’m stuck or just looking for best practices to implement something in the tool. They either provide a solution or take note of the feedback to improve the product. A good example is the recent addition of support for different scales in facet plots, which addressed a limitation I personally encountered.

**What do you dislike about Count?**

Regarding areas for improvement, I do have a few ideas.

I think the construction of frames could live in a separate canvas, similar to how Tableau approaches dashboards. This would offer the best of both worlds: plots would remain close to the queries that generate their data, while still allowing the creation of a dedicated dashboard that brings everything together.

There are also some smaller usability issues that can make the interface feel unintuitive at times. For example, when creating custom plots, individual marks cannot be named, which makes it harder to understand what each mark represents. Similarly, when multiple marks are used, it’s not always clear which variable is assigned to the secondary axis.

Some solutions also feel a bit hacky—for instance, adding vertical lines to indicate events by using bar plots, where it’s not always obvious how to control the bar width cleanly.

Overall, these are relatively minor points. They don’t slow me down in my day-to-day work, and I see them more as a wishlist than as real blockers. As with any tool, there is always room for improvement—but Count is already a superb product.

**What problems is Count solving and how is that benefiting you?**

Count solves the problem of fragmented analytics workflows by bringing queries, plots, text, and reviews into a single place, which makes analyses naturally self-documenting. This benefits me because I can always trace results back to their underlying logic and interpretation without losing context. It also addresses code duplication by allowing results to be referenced across tiles, in a way that feels similar to a DAG in dbt. As a result, I can break complex queries into clear, reusable components and iterate much faster.

Count also solves the rigidity of traditional dashboards by giving you control cells to define filters directly in the analysis. This gives me far more flexibility than organization-level filters and avoids the need for hacky workarounds. Another key problem it solves is reviewability: comments, interpretations, and feedback live right next to the data. That makes collaboration easier and decisions easier to justify.

Finally, Count reduces the risk of getting stuck with tool limitations thanks to a very responsive support team. Knowing that feedback is heard and often translated into product improvements makes me confident in relying on Count for my day-to-day analytical work.

  ### 2. Easy Data Integration with Flexible SQL and Python in One Dashboard

**Rating:** 5.0/5.0 stars

**Reviewed by:** Juan Ignacio P. | Director of Revenue Operations, Mid-Market (51-1000 emp.)

**Reviewed Date:** February 18, 2026

**What do you like best about Count?**

I like how easy it is to pull data from different sources and bring it together into a comprehensive, easy-to-use dashboard.

Also, having the ability to run SQL queries and Python scripts in one place makes things much easier and more flexible whenever we need to process data.

**What do you dislike about Count?**

This tool has a bit of a learning curve, and you need to get past that before you can really see its full value.

**What problems is Count solving and how is that benefiting you?**

Count lets us collaboratively process and analyze data from multiple sources, making it easier to extract all kinds of insights.

  ### 3. You can count on Count

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Insurance | Mid-Market (51-1000 emp.)

**Reviewed Date:** December 04, 2025

**What do you like best about Count?**

I really enjoy how flexible and easy to use Count is. The layout is intuitive and there are an ever growing list of helpful features available to use. The output is very slick as well to create reports as it allows for creative visualisations and has a lot of templates to help if you need some inspiration.

**What do you dislike about Count?**

Count is still growing so there are very infrequently some issues that pop up, but the customer service team are really great and help is always on hand! It really feels like a company that is on the side of the customer and wants to help grow together, which is really appreciated.

**What problems is Count solving and how is that benefiting you?**

Count is great and unique for being able to easily collaborate. This is great for when you want to learn, as you can interact during training sessions. But also it's great to present to other teams and you can do a lot on the fly (e.g. feedback, next steps and even create viz's for quick follow ups).

  ### 4. Great for Collaboration and Storytelling

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.)

**Reviewed Date:** February 10, 2026

**What do you like best about Count?**

I really love the collaborative aspect of it, and how it helps facilitate storytelling in a smooth, natural way. You can also tell that team are passionate about building the best product to their customers. Delighted to have this as part of my analytical toolbox!

**What do you dislike about Count?**

Not many complaints, as somebody who writes SQL in BigQuery/dbt the switch to DuckDB syntax can be a tad annoying. But I appreciate the performance you get from DuckDB so I get their decision

**What problems is Count solving and how is that benefiting you?**

Its solving the problem that most legacy and older BI tools don't by allowing for collaborative and agile analytics. I love how I can work on a piece of analysis or project with multiple analysts at once

  ### 5. All-in-One Data Solution That Streamlines Our Workflow

**Rating:** 5.0/5.0 stars

**Reviewed by:** Richard C. | Head of Data and Analytics, Enterprise (> 1000 emp.)

**Reviewed Date:** November 25, 2025

**What do you like best about Count?**

The flexibility and simplicity of having one tool for many purposes means Count is our primary tool within the Data and Analytics team, and it does most jobs so well that it is hard to justify using anything else!

An example project may involve exploring and interrogating data direct in our warehouse, combining it with CSV's to create models and analysis, bringing the stakeholder into the canvas to work collaboratively, sharing ideas and progress, then producing ad-hoc insights and analysis directly from the data on slides the stakeholder can share with the business, and finally creating standard interactive reporting/dashboards that are scheduled to refresh for use by the wider business - which we then monitor with Count Telemetry to make sure they are used.   All of this in one tool, no switching between tools, no copy and pasting analysis or visuals into presentations, no keeping separate records of notes/ideas or feedback, it's all in one place.

Since we started using Count we have had great feedback from around the organisation.  The speed at which we can work, the almost limitless ability to create visualisations and layouts that make sense, the ease of access and the admin/governance of users have made it a firm favourite across the board.

Added to the tools itself, the support from Count and the community they have built is exceptional and the future roadmap is always clearly driven by the customers and their feedback.

**What do you dislike about Count?**

Due to it's virtually unhindered flexibility compared to other tools, it can sometimes be difficult to find out how to do something you know should be obvious (e.g. move a legend) and there is an initial learning curve.  However, once you get more familiar with the concept and UI (which doesn't actually take very long) then these things become easily solvable.

**What problems is Count solving and how is that benefiting you?**

- Simplifying and speeding up the access to data and analytical capability for the Analytics team, enabling them to work with stakeholders in a much more effective and timely manner.
- Consolidating reporting and creating a "single source of truth" that can be further interrogated, providing consistency and trust in the data that leads to faster and more effective decision making.
- Bringing stakeholders into a single tool for reporting, analysis and collaboration has really improved engagement, understanding and the use of data.
- Managing access and users via "Groups" in a single tool has dramatically reduced admin time and enhanced governance of data access.

  ### 6. My go-to tool - freeing up headspace to focus on the work rather than holding all of the context.

**Rating:** 5.0/5.0 stars

**Reviewed by:** Chris W. | Head Of Analytics, Mid-Market (51-1000 emp.)

**Reviewed Date:** August 11, 2025

**What do you like best about Count?**

Count has become the first place I go when working with our data, and I usually don't leave. Where context used to be stored across multiple tabs, Miro boards, figma designs, spreadsheets and more, I can now pull everything into one cavas and work alongside it. I don't need to keep it all in my head any more.

Having all of the context in the same place also helps when coming back something after some time away - there's no need to go searching for requirements, or alternate versions, everything can be dropped into the one place.

**What do you dislike about Count?**

Working with large datasets can be a little challenging. There is a tension between breaking out CTE's for visibility and aggregating early for efficiency. Finding the right balance has taken a little while

**What problems is Count solving and how is that benefiting you?**

We're using Count to map user journeys, spec new events, analyses split tests, metric reporting, developing data models and more.
We're still bedding the tool in, but have already seen particular benefit in collaboration within the team as well as sharing analysis or designs with other stakeholders.

  ### 7. Almost perfect tool for BI Analysts

**Rating:** 4.5/5.0 stars

**Reviewed by:** Clara G. | Product Manager, Enterprise (> 1000 emp.)

**Reviewed Date:** August 11, 2025

**What do you like best about Count?**

I really enjoy the canvas-style approach to BI. It feels much more fresh, speedy, and accessible than tools like Tableau. It's really well-suited for:
- Enabling data teams to co-create insights in real-time
- Allow for rapid, iterative data exploration at the beginning of an analysis
- Visual storytelling, for example for workshops
- Running Python scripts
This makes it very valuable for BI analysts. 
As a previous data analyst, now product manager, I use it almost daily.
Customer support is also good and feature improvements have been turned around quite fast.

**What do you dislike about Count?**

In contrast to other tools, like Sundial, Count does not work with natural-language queries (at least not reliably) and does not offer "opinionated" intelligence. This limits its usability, especially for more business-oriented roles with limited hands-on analytical skills, like product managers.
There could also be potential to provide more out-of-the-box support for use cases like A/B testing, cohort analysis, churn analysis, genAI APIs, etc.

**What problems is Count solving and how is that benefiting you?**

- KPI performance tracking
- Data drill downs for improved understanding 
- Data debugging
- Data-driven workshops
- Data storytelling with more complex charts that benefit from annotations, stickies, etc.

  ### 8. Versatile Tool for Multi-Source Data Analysis

**Rating:** 4.0/5.0 stars

**Reviewed by:** Rich D. | Mid-Market (51-1000 emp.)

**Reviewed Date:** April 04, 2026

**What do you like best about Count?**

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.

**What do you dislike about Count?**

Count canvas is great for exploration but can feel a little unwieldy when sharing with others

**What problems is Count solving and how is that benefiting you?**

We use Count for quick analysis iteration with non-standard data sources and blending data.

  ### 9. The best new tool in the modern data stack

**Rating:** 5.0/5.0 stars

**Reviewed by:** Weiting X. | Head of Data, Small-Business (50 or fewer emp.)

**Reviewed Date:** August 05, 2025

**What do you like best about Count?**

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.

**What do you dislike about Count?**

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.

**What problems is Count solving and how is that benefiting you?**

Count increases the speed of delivery by enabling collaboration -- which means that no one is ever working on anything for too long before they are able to collect and iterate on feedback.
Also the team loves that it's a cool new tool compared with traditional BI tools, so that keeps them happy.

  ### 10. The Perfect Data Analytics Collaboration Platform

**Rating:** 5.0/5.0 stars

**Reviewed by:** Henrique M. | Data Analyst, Mid-Market (51-1000 emp.)

**Reviewed Date:** September 23, 2025

**What do you like best about Count?**

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.

**What do you dislike about Count?**

- Copy & Paste doesn't work properly sometimes
- Formatting visuals could be improved / extended further

**What problems is Count solving and how is that benefiting you?**

Analytics, Reporting, and creating a data-driven culture

  ### 11. Empowers Data Analysis with Ease and Flexibility

**Rating:** 5.0/5.0 stars

**Reviewed by:** Tyler L. | VP Strategy & BD, Mid-Market (51-1000 emp.)

**Reviewed Date:** February 06, 2026

**What do you like best about Count?**

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.

**What do you dislike about Count?**

N/A

**What problems is Count solving and how is that benefiting you?**

Count helps me compare multiple data sources for GTM decisions, and it's usable for non-engineers like myself, allowing me to understand data independently.

  ### 12. Canvas flexibility, with data integration as a first citizen

**Rating:** 4.5/5.0 stars

**Reviewed by:** Tiago dos S. | Senior Machine Learning Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** August 04, 2025

**What do you like best about Count?**

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.

**What do you dislike about Count?**

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.

**What problems is Count solving and how is that benefiting you?**

A central platform for data access, democratising production and consumption of analytics in our company.

  ### 13. Easy data exploration

**Rating:** 5.0/5.0 stars

**Reviewed by:** Ben T. | Head of Finance, Mid-Market (51-1000 emp.)

**Reviewed Date:** January 02, 2026

**What do you like best about Count?**

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.

**What do you dislike about Count?**

What I dislike about the product probably stems from my own need for some basic training.

**What problems is Count solving and how is that benefiting you?**

We use Count to tie together data from multiple sources and gain business insights.

  ### 14. The Swiss knife of BI tools

**Rating:** 5.0/5.0 stars

**Reviewed by:** Aaron H. | BI Director, Mid-Market (51-1000 emp.)

**Reviewed Date:** July 29, 2025

**What do you like best about Count?**

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

**What do you dislike about Count?**

- 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.

**What problems is Count solving and how is that benefiting you?**

It is not always easy to collaborate on data work in remote teams, where sifting through some database queries, SQL drafts and PRDs doesn't always form a clear picture of the objective and the progress. Count makes it very easy to illustrate an idea, give structure to an engineer / analyst's proposal in a more neat and visual way, which has been really helpful.

  ### 15. Figma for Analysts - A great way to speed up your EDA

**Rating:** 4.5/5.0 stars

**Reviewed by:** Dan/Daniel R. | Product analytics lead, Enterprise (> 1000 emp.)

**Reviewed Date:** June 25, 2025

**What do you like best about Count?**

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.

**What do you dislike about Count?**

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.

**What problems is Count solving and how is that benefiting you?**

Exploratory data analysis and reporting within individual product teams.

  ### 16. My go-to tool for SQL-based data analysis

**Rating:** 5.0/5.0 stars

**Reviewed by:** Yulia K. | Senior Product Analyst, Enterprise (> 1000 emp.)

**Reviewed Date:** June 19, 2025

**What do you like best about Count?**

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.

**What do you dislike about Count?**

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.

**What problems is Count solving and how is that benefiting you?**

Count removes the constraint of linear workflows that most analytical environments impose, allowing for a more flexible, modular structure. I often tell peers that Count is like Miro for analysts. It brings together commonly used tools — SQL, Python, spreadsheets, presentation elements, job scheduling — into a single workspace, reducing the need to switch between environments. It also simplifies data visualization, making it easier to present insights without having to wrestle with libraries like matplotlib or plotly.

  ### 17. Very Innovative Tool and Great Use Case

**Rating:** 4.0/5.0 stars

**Reviewed by:** Steph M. | Data Scientist, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 16, 2025

**What do you like best about Count?**

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.

**What do you dislike about Count?**

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.

**What problems is Count solving and how is that benefiting you?**

Quick analytics that look good. Test designing data bases.

  ### 18. Great tool for data exploration and analysis

**Rating:** 5.0/5.0 stars

**Reviewed by:** Christian W. | Senior Data Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** August 29, 2025

**What do you like best about Count?**

I love the flexibility of Count—it has transformed the way I work with data and share insights with business users over the past two years. Previously, my workflow might have involved writing SQL queries in an IDE, exporting and analyzing the results in Excel or another tool, and then passing them along to end users for further analysis. With Count, I can now do almost everything in one place on an infinite canvas. Most importantly, it enables me to build complex models from smaller queries / data cells and visualise them step by step. The canvas approach also makes it easy to collaborate with business users, presenting and sharing data in a way that’s both clear and accessible.

Their support team are always helpful - Ive suggested a few minor features and they were implemented pretty quickly!

**What do you dislike about Count?**

Sometimes, canvases can become a bit cluttered and can start performing poorly when they have a large number of data cells/visuals. We have put together some good practice recommendations around this which do help somewhat.

Also, I sometimes find it can be a bit frustrating getting a visual to format how I would like it, and I often feel like my dashboards could look a bit more professional, but again, this is more a me problem rather than Count.

**What problems is Count solving and how is that benefiting you?**

Count makes the analysis of often complex data easy to work with and collaborate on. For me, it also helps me organise my thinking and my work. 

As an example, I find it incredibly powerful to be on a call regarding a data issue, and for everyone on that call to be able to view the queries I'm writing in real time, see the data, and to visualise the problem. I feel like it gives end users confidence and understanding how we got to the end dataset.

Finally, I like being able to direct business users to Count canvases where I know the data is available to rather than having to dig out saved queries, extract and send data files etc.

  ### 19. Amazing tool

**Rating:** 5.0/5.0 stars

**Reviewed by:** James B. | Data Analyst, Mid-Market (51-1000 emp.)

**Reviewed Date:** July 15, 2025

**What do you like best about Count?**

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.

**What do you dislike about Count?**

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.

**What problems is Count solving and how is that benefiting you?**

Ways of working. Makes collaboration a lot easier and speeds up the process of getting data to stakeholders.

  ### 20. My favourite tool on the data landascape

**Rating:** 5.0/5.0 stars

**Reviewed by:** Veronika C. | Senior Data Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 10, 2025

**What do you like best about Count?**

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.

**What do you dislike about Count?**

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.

**What problems is Count solving and how is that benefiting you?**

Data warehouse querying interface, IDE, BI tool, Canvas for ideation with stakeholders - all in one

  ### 21. Count is our pioneer for the centralization and orchestration of all marketing KPIs

**Rating:** 5.0/5.0 stars

**Reviewed by:** Guido B. | Gründer, Marketing and Advertising, Small-Business (50 or fewer emp.)

**Reviewed Date:** August 31, 2025

**What do you like best about Count?**

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.

**What do you dislike about Count?**

The visualization options leave almost nothing to be desired. The only thing we really miss are data maps for geographic visualizations.

**What problems is Count solving and how is that benefiting you?**

Example – Cross-channel marketing data of a customer: Before we used count, there was no central overview of all relevant data. With count, we now have a tool that saves us a tremendous amount of time and additionally enables real-time data control through visualizations and alerts.

  ### 22. A data tool that simply makes sense

**Rating:** 5.0/5.0 stars

**Reviewed by:** Toby H. | Analytics Engineering Manager, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 05, 2025

**What do you like best about Count?**

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.

**What do you dislike about Count?**

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.

**What problems is Count solving and how is that benefiting you?**

It provides a space for analysts to collaborate on and share their data work in a way that is so much more than dashboards.

  ### 23. My new favorite data tool

**Rating:** 5.0/5.0 stars

**Reviewed by:** Istvan M. | Data Team Lead, Mid-Market (51-1000 emp.)

**Reviewed Date:** May 28, 2025

**What do you like best about Count?**

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.

**What do you dislike about Count?**

Some visual formatting options are a bit tricky to find.

**What problems is Count solving and how is that benefiting you?**

Count is solving the problem of inefficient and cumbersome data discovery and ad hoc analysis. By eliminating the need to manage multiple SQL editor tabs or combine numerous queries into a single editor, it simplifies my workflow significantly. The smooth, responsive canvas and the ability to integrate Python cells alongside SQL, with immediate visualizations, make the process seamless and efficient. This streamlining of the analytics workflow not only benefits me by reducing the time it takes to generate insights, but it also enhances collaboration with stakeholders and supports data modeling.

  ### 24. Collaborative analysis at its best

**Rating:** 5.0/5.0 stars

**Reviewed by:** Ruth W. | Analytics Manager, Mid-Market (51-1000 emp.)

**Reviewed Date:** May 29, 2025

**What do you like best about Count?**

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.

**What do you dislike about Count?**

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.

**What problems is Count solving and how is that benefiting you?**

Exploratory data analysis and metrics alerting / reporting.

  ### 25. Transformative Data Collaboration Platform with Incredible Potential

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Farming | Mid-Market (51-1000 emp.)

**Reviewed Date:** August 11, 2025

**What do you like best about Count?**

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.

**What do you dislike about Count?**

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

**What problems is Count solving and how is that benefiting you?**

Count is solving our company’s problem of fragmented data workflows by giving our team a single collaborative space where you can query data in SQL, visualize it, and work with stakeholders in real time—eliminating the need to juggle multiple tools and speeding up deeper, more impactful analysis.

  ### 26. Excellent sandbox and ad-hoc analysis tool

**Rating:** 4.0/5.0 stars

**Reviewed by:** Alex C. | Associate Analytics Analyst, Enterprise (> 1000 emp.)

**Reviewed Date:** May 27, 2025

**What do you like best about Count?**

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.

**What do you dislike about Count?**

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.

**What problems is Count solving and how is that benefiting you?**

Query building/de-bugging - This is a great tool to help figure out issues with complex queries. Thanks to the way that each cell is its own CTE, you can investigate each step of the process individually to figure out where an issue may occur or where an improvement can be made. This has helped me to improve and fix complex SQL queries which would be a much more painstaking process if done on Snowflake directly.

Interactive visuals - The visualisations are pleasing on the eye and are easy to make interactive for non-technical users through the use of frames, controls & filters. This allows our stakeholders to easy use and interact with the canvas to suit their requirements, without us having to always be present to make changes for them.

  ### 27. Why Count is our everyday essential

**Rating:** 5.0/5.0 stars

**Reviewed by:** Michel R. | Head of Data, Mid-Market (51-1000 emp.)

**Reviewed Date:** May 26, 2025

**What do you like best about Count?**

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.

**What do you dislike about Count?**

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.

**What problems is Count solving and how is that benefiting you?**

One major problem Count solves for us is making complex data analyses understandable and collaborative. Previously, sharing the 'story' behind a deep dive was challenging; SQL scripts alone don't tell the whole picture, and static charts lack context.
The benefit is that Count's canvas acts as a shared, living document. We can build an analysis step-by-step, with queries, visualizations, and explanatory text working together. This makes it incredibly easy for team members to follow the logic, contribute, and understand the conclusions.

  ### 28. Most robust data tool in our stack

**Rating:** 5.0/5.0 stars

**Reviewed by:** Carolyn T. | Senior Analyst, GTM, Mid-Market (51-1000 emp.)

**Reviewed Date:** May 21, 2025

**What do you like best about Count?**

- 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.

**What do you dislike about Count?**

- 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.

**What problems is Count solving and how is that benefiting you?**

It complements our traditional BI tool by enabling faster exploration and discovery. Count gives us the flexibility to answer questions, visualize results, add context, and collaborate without bouncing between a SQL IDE, a BI dashboard, Google Sheets, and Google Docs or Slides. It’s become our go-to space for exploratory and collaborative analysis.

  ### 29. Versatile tool for data analytics / engineering

**Rating:** 4.5/5.0 stars

**Reviewed by:** Liubov Z. | Senior Data Analyst, Mid-Market (51-1000 emp.)

**Reviewed Date:** May 21, 2025

**What do you like best about Count?**

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

**What do you dislike about Count?**

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.

**What problems is Count solving and how is that benefiting you?**

1. Reduces time to build ad-hoc analysis
2. Simplifies understanding the models' structure by exploding CTEs and prental models
3. It's easy to build the data structure and visualisations which aren't possible within the existing data structure in the main BI tools (Looker in our case)
4. I use it frequently in the pull requests to show what is the outcome of the PR changes
5. It's easy to analyse simple A/B tests, as A/B tests require not only statistical significance information, but also related data - are the groups different in behaviour, are they ~ similar, etc.

  ### 30. Great BI tool

**Rating:** 5.0/5.0 stars

**Reviewed by:** Emil O. | Data Analyst, Enterprise (> 1000 emp.)

**Reviewed Date:** May 20, 2025

**What do you like best about Count?**

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.

**What do you dislike about Count?**

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.

**What problems is Count solving and how is that benefiting you?**

Count replaces the need for multiple tools by combining the best of BI platforms, collaboration tools (like Miro/Figma), and Python notebooks.

The biggest win is how it improves communication, both within our data team and across the business. 
Complex models become far easier to understand because you can break them into modular components, making logic transparent and debugging effortless. 
This clarity speeds up reviews, onboarding, and stakeholder alignment.

  ### 31. Best data tool I have discovered since dbt

**Rating:** 5.0/5.0 stars

**Reviewed by:** Jessica F. | Engineering Manager - Data, Mid-Market (51-1000 emp.)

**Reviewed Date:** May 20, 2025

**What do you like best about Count?**

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.

**What do you dislike about Count?**

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

**What problems is Count solving and how is that benefiting you?**

Count helps us to do quick analysis and prototype data models and dashboards in order for us to quickly get stakeholder feedback.

  ### 32. The All in one data and dashboarding product

**Rating:** 5.0/5.0 stars

**Reviewed by:** Juan Pablo T. | Data Analytics Engineer, Small-Business (50 or fewer emp.)

**Reviewed Date:** August 04, 2025

**What do you like best about Count?**

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.

**What do you dislike about Count?**

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.

**What problems is Count solving and how is that benefiting you?**

It is our main dashboarding tool. Where the whole company can go in and look at the source of truth so we are all on the same page.
The alert system is also great. Some of our most important stakeholders are constantly busy and don't have the time to log in and go look at a dashboard so Count's alert system fixes this by delivering the dashboards directly to their email and slack.

  ### 33. Count: the best analytics tool our organization has used

**Rating:** 5.0/5.0 stars

**Reviewed by:** Garoe G. | VP of Data and Analytics, Small-Business (50 or fewer emp.)

**Reviewed Date:** May 20, 2025

**What do you like best about Count?**

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.

**What do you dislike about Count?**

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.

**What problems is Count solving and how is that benefiting you?**

- Create all types of visualizations and dashboards
- Make our organization data-driven
- Share results and get feedback directly on them
- Collaborate around data

  ### 34. If FigJam and Looker had a baby

**Rating:** 5.0/5.0 stars

**Reviewed by:** Tim V. | Lead Analytics Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** May 15, 2025

**What do you like best about Count?**

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.

**What do you dislike about Count?**

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.

**What problems is Count solving and how is that benefiting you?**

Count has helped us break out of the siloed, disjointed world of dashboards and static reports. We now have a shared space where data, context, and discussion live side by side which has made our analysis clearer and our decisions faster. As the platform matures, I can easily see Count becoming a leader in this space.

  ### 35. Easy collaborative whiteboard to explore data

**Rating:** 5.0/5.0 stars

**Reviewed by:** Román S. | Principal Data Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** May 26, 2025

**What do you like best about Count?**

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.

**What do you dislike about Count?**

- 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.

**What problems is Count solving and how is that benefiting you?**

Count is the self serve data tool for most of the user in the company. Allowing us to replace other tools which are more complex to maintain like Tableau.

  ### 36. Smart and interesting, quick to catch

**Rating:** 4.5/5.0 stars

**Reviewed by:** Mincho G. | Data Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** May 14, 2025

**What do you like best about Count?**

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.)

**What do you dislike about Count?**

Some minor, real minor UI stuffs related to date filters, and date picker

**What problems is Count solving and how is that benefiting you?**

Allowing business to take data-driven decisions, inform on performance and KPIs

  ### 37. Count has replaced Jupyter notebooks for analysis tasks

**Rating:** 5.0/5.0 stars

**Reviewed by:** Johan K. | Lead Data Scientist, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 25, 2025

**What do you like best about Count?**

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.

**What do you dislike about Count?**

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.

**What problems is Count solving and how is that benefiting you?**

It combines the flexibility of shaping your data with SQL and Python with a very intuitive and easy way of creating graphs.

  ### 38. Frictionless data modelling

**Rating:** 5.0/5.0 stars

**Reviewed by:** Padraig A. | Data Lead, Mid-Market (51-1000 emp.)

**Reviewed Date:** August 05, 2025

**What do you like best about Count?**

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.

**What do you dislike about Count?**

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.

**What problems is Count solving and how is that benefiting you?**

Data modelling and 'deep' analysis using SQL is much easier with a canvas, where the flow of data is clear and outputs are visualised at each step; where it's easy to put up a quick chart or drop into Python when flexibility is needed.

  ### 39. Game-Changer for Collaborative Data Work

**Rating:** 5.0/5.0 stars

**Reviewed by:** Dani C. | Director or Engineering, Mid-Market (51-1000 emp.)

**Reviewed Date:** July 29, 2025

**What do you like best about Count?**

Count has completely transformed the way our team works with data. The combination of a powerful SQL notebook and live collaborative features makes it incredibly easy to explore, analyze, and communicate insights—all in one place. The visual canvas is a standout feature—it's intuitive, flexible, and perfect for mapping out logic or walking stakeholders through an analysis.

**What do you dislike about Count?**

There’s a bit of a learning curve at first, especially if your team is used to more traditional tools. And very large projects with lots of steps can get a bit slow to load. But those are minor trade-offs for what you get in return.

**What problems is Count solving and how is that benefiting you?**

Count helps us bridge the gap between data teams and business users. Instead of handing off static dashboards, we build interactive narratives that stakeholders can explore themselves. It’s dramatically improved our decision-making speed and reduced the back-and-forth that usually comes with analytics requests.

  ### 40. Game changer for solving business problems with data

**Rating:** 5.0/5.0 stars

**Reviewed by:** William M. | Senior Director, Head of Data Science, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 24, 2025

**What do you like best about Count?**

The infinite canvas really free's you up to explore and think through metrics or complex analysis and then easily communicate complex information after the fact.

Count was great for developing our first north star product metrics and metric trees. 

Its also great for thinking through a problem independently or with stakeholders.

**What do you dislike about Count?**

There’s a bit of a mindset shift required for teams used to traditional BI tools. 

The flexibility of the canvas is powerful but can be overwhelming at first. 

That said, with a little guidance, most users catch on quickly and appreciate the clarity it brings.

**What problems is Count solving and how is that benefiting you?**

As Head of Data, one of my biggest challenges has been getting other teams to truly understand and use data correctly. Count helps me relay information in a way that’s visual, contextual, and easy to digest, whether it’s walking through how a metric is calculated or helping product and marketing teams explore their own questions. It has helped reduce back-and-forth, cut down on misinterpretation, and increased confidence in the numbers we use to make decisions.

  ### 41. Lead instructional designer

**Rating:** 5.0/5.0 stars

**Reviewed by:** Daniel A. | Lead ID, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 11, 2025

**What do you like best about Count?**

Count is a great place to be. Being on a canvas with data sources to play with is the closest I've come to feeling attached to the data and free to explore. They've got the formula right. You need the ability to write sql right there, you need to see results right there, you need to be able to connect and develop cells. Then Python cells take it to another level of freedom. Brilliant piece of software. If I could afford an account for my personal life, I'd voluntarily just spend free time playing here!

**What do you dislike about Count?**

I wish there was a cheap option for personal accounts.

**What problems is Count solving and how is that benefiting you?**

Quick clarity from muddy data. Building simple pipelines. Sharing results with stakeholders. It's almost end to end.

  ### 42. Streamlines sql development

**Rating:** 5.0/5.0 stars

**Reviewed by:** Sasha K. | Analytics Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 06, 2025

**What do you like best about Count?**

Count is a really useful tool for building complex models and debugging queries. Being able to break sql into chunks and visualize each step makes troubleshooting more efficient and intuitive.

The collaborative nature of the tool is great – it makes sharing queries with teammates and working through problems together really straightforward.

I really appreciated the ability to remove row limits too - no longer having to switch between IDEs for larger datasets has streamlined my workflow!

**What do you dislike about Count?**

Sometimes it can take a while to figure out how to build a specific chart, particularly if you’re not doing it regularly.

**What problems is Count solving and how is that benefiting you?**

A space to develop, test, visualize & share in one place really helps with my workflow. I have to switch tools much less.

  ### 43. A unique BI tool

**Rating:** 4.5/5.0 stars

**Reviewed by:** Matt H. | Head of Data, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 10, 2025

**What do you like best about Count?**

The flexibility. You can build pretty much any visualisation you can think of (either through Count's built-in visualisation tools, or with Python) and lay things out in any way you can imagine. This makes it relatively straightforward to build things that can be clunky in some other BI tools (e.g. metric trees and process flows). Count is pretty unique in this sense; I have not come across another tool like it.

It's several products in one. It gives us a way of incorporating Python notebooks within the same tool as our reporting, and also gives us a place to draft wireframes of our reports (which we would previously have done in Miro). I know many other customers use it for dbt development too (we don't).

I also love the caching and the integration of DuckDB within the product, so most of the query legwork can be handed off to the browser or the Count server, rather than hammering our own data warehouse with every new query.

The semantic layer is very new, but also generally works well. It's impressively well developed for such a new feature.

The team is also super helpful and responsive. Our onboarding experience over the past few months has been great.

**What do you dislike about Count?**

The default user role is overly restrictive in my opinion, and the number of explorer licenses included in their Scale plan (the largest non-enterprise option) is not enough for a company at our stage of growth. This places too high a barrier to self-serving, and ultimately results in a larger volume of mundane data-pulling tasks than we had with our previous tool (Lightdash), because a user cannot simply go in and run a simple query themselves unless we've already saved it in a canvas for them. The way around this seems to be either to buy more licenses, or to spend more time building out canvases. In fairness, this user model is not uncommon and is similar to Tableau's; I'm a little biased since I'm comparing it against Lightdash, which allows unlimited explorer access.

Bugs. I think this is a mix of a relatively early-stage product and a team that's building new features quickly, but we do sometimes see things break or regress. They are quick to address these issues when they do come up though.

**What problems is Count solving and how is that benefiting you?**

Being able to visualise the business as a system of metrics. This makes it much easier to demonstrate how the business works, how everyone's work actually contributes to the bigger picture, and to diagnose and address underperformance and identify opportunities.

  ### 44. Count is super intuitive and surprisingly powerful tool

**Rating:** 5.0/5.0 stars

**Reviewed by:** Stefani I. | Data Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 19, 2025

**What do you like best about Count?**

I’ve tried a bunch of BI tools, and Count is honestly one of the easiest and most pleasant to use. It’s super intuitive within an hour I was already building dashboards and actually understanding my data. I also value highly the support Count team has always given us when we had data issues. They are super easy to reach out to and always quite helpful!

**What do you dislike about Count?**

There is nothing that I dislike only positive things about Count.

**What problems is Count solving and how is that benefiting you?**

Recently, I was building Sales models in dbt to solve a business challenge around how we calculate and pay sales commissions. Once the models were ready, setting up a connection in Count took just a few clicks. I introduced the relevant tables, and from there, our sales team was able to build beautiful dashboards on their own.

The ease of use is honestly spectacular. It saved me time, empowered the team to self-serve their data, and reduced the back-and-forth usually involved in reporting. Count has made the handoff between data and business teams feel seamless.

  ### 45. My favourite BI tool so far

**Rating:** 5.0/5.0 stars

**Reviewed by:** Tori K. | Senior Data Analyst, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 04, 2025

**What do you like best about Count?**

Count ticks all the boxes for what you need in a BI tool. It's intuitive, powerful, and designed to save you time in your workflow. The tool makes data exploration and visualization super easy, with a big focus on collaboration—perfect for teams working together on data projects. I love how it allows you to code in Python and SQL in the same place, which makes it really easy for me to do statistical analysis on my data. The support team is also a big plus—they respond quickly to any issues and actively improve the tool based on feedback.

**What do you dislike about Count?**

The UI could be a bit sleeker in some areas.
 Would love to see more customization options for dashboards.

**What problems is Count solving and how is that benefiting you?**

Count has become our go-to BI tool because it makes working with data so much easier. It cuts down on the time spent managing data and makes it simple to collaborate with teammates. Instead of jumping between tools, we can do everything in one place, which helps us make decisions faster and more confidently.

  ### 46. Great tool to understand the data you are working with

**Rating:** 4.5/5.0 stars

**Reviewed by:** Jakub M. T. | Analyst - Analytics, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 19, 2025

**What do you like best about Count?**

Count allows you to write code right next to charts, which allows you to immediately see the impact of a change in the logic on the metrics you are trying to capture. 

Count is the only tool I am aware of that allows you to:
- write code
- see the table you are working on
- see a visual of a metric built based on that table

On the same screen, giving great visibility over the data you are working with.

The infinite canvas gives you a lot of flexibility when it comes to visualisation. You can structure your charts into trees or sequences, which capture the relationship between metrics better and enhance clarity. One example (based on a project we recently delivered for a client) would be mapping sales funnels, where sequential charts of conversion rates neatly capture customers' journey.

**What do you dislike about Count?**

Visualising the charts can be challenging for beginners, and some more complex charts (eg. a line chart with control limits) can be relatively difficult to build.

It would also be good if users had a bit more control over which cells to run and in what order when reopening a canvas (maybe even adding an option to temporarily 'disable' a cell would help).

**What problems is Count solving and how is that benefiting you?**

Count gives visibility over the data you are working with when developing code, which is sometimes lacking in other tools.

  ### 47. The best analytics tool out there - excellent UX, high versatility and more collaborative tool

**Rating:** 5.0/5.0 stars

**Reviewed by:** Sara S. | Product Growth Analytics, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 15, 2025

**What do you like best about Count?**

I've been using the platform for over 2 years, across several different businesses, and continue to recommend it over and over again. 

The main value add is that you’re not constantly switching between your IDE, SQL editor, notebooks, dashboards, and slides. Everything quite literally all lives in one place. This means significantly less context switching and more time doing the actual thinking that drives value for the business. Additional thoughts that are worth mentioning:

- It's a very intuitive platform, for both technical and non-technical users, which means collaboration is much easier than your conventional BI tool (especially for product and growth teams)

- The canvases aren’t just a nice UI feature, they fundamentally change the workflow. You can actually think through a problem in the same place you explore data, test hypotheses, and share outcomes - this is very powerful, keeping valuable context in one environment

- The versatility of the platform means users are driven to upskill themselves in SQL, Python, dbt, since all these tools exist within one environment (the combined value exceeds the sum of each part). I've seen analysts (myself included) approach analyses with genuine excitement with all these tools at their disposal

- You can create some really interesting data products - turn lengthly manual processes for insights into speedy, automated products 

- The Count team - they’re incredibly responsive to feedback, are thoughtful in how they develop the product, and genuinely care about making the platform performant and brilliant.

I have recommended this tool to several teams, and have seen two already adopt it super quickly. Can't wait for Count to blow up!

**What do you dislike about Count?**

The versatility of the platform means you have a lot of flexibility in what you can produce, which is incredibly empowering but can require a bit of a mental shift at first - especially since most analysts are used to rigid, linear tools where your output options are quite constrained. Not a drawback, just something to be aware of.

I've seen the occasional bug, but the engineering team have been quick to resolve these (within the day) so these haven't impacted my workflow

**What problems is Count solving and how is that benefiting you?**

Count solves the disconnect between analysis and decision making - I can explore data, write SQL, explain logic, and share insights all in one place with no need for dashboards, slides, or switching tools to do so. It’s also way more flexible than traditional BI tools, so I can build everything from quick explorations to reusable data products. This, along with the canvas environment has helped me work a lot faster, collaborate better, and create more embedded value from my work

  ### 48. Indispensable daily tool

**Rating:** 5.0/5.0 stars

**Reviewed by:** Josh G. | Director of software engineering, Mid-Market (51-1000 emp.)

**Reviewed Date:** May 16, 2025

**What do you like best about Count?**

Count has become an indispensable tool for our engineering team to understand and visualize our data. Our team uses count every day for everything from ad hoc queries to answer questions that come up in the SDLC to polished customer facing dashboards.

**What do you dislike about Count?**

The visualization library is very powerful but has a bit of a learning curve. There’s a concept of templated visualizations and custom visualizations but if you start building out one from a template there’s no escape hatch to a custom visual if you find you need something not supported by the template.

**What problems is Count solving and how is that benefiting you?**

Data democratization. Instead of needing to fill out a request for data, we can query, visualize, and report on it directly and in real time as we need it.

  ### 49. I can't imagine working without it

**Rating:** 5.0/5.0 stars

**Reviewed by:** Kate D. | Data Strategy Manager, Enterprise (> 1000 emp.)

**Reviewed Date:** March 21, 2025

**What do you like best about Count?**

Count is always my go-to tool in my day-to-day analytics work. It makes it super easy to explore our datasets, to be able to split off different lines of investigation, and really quickly build up a POC that is stakeholder ready.
It's also an excellent learning & collaboration tool - due to the open nature of the project setup, analysts are starting to browse the work of their peers, learn about datasets they don't usually work with, pick up code tips and tricks.

**What do you dislike about Count?**

As the tool is still pretty young, it's functionality is growing all the time and it can be hard to keep track of all the smaller changes in particular. Something that wasn't an option a month or two ago now is, and there's nothing more frustrating than finding out the thing you've been bending over backwards to find a workaround for is now just available through a setting switch or something..

**What problems is Count solving and how is that benefiting you?**

Count allows for super quick exploration and discovery, easy creating of POC reporting, proto-typing and rapid iterations alongside a stakeholder to get to a production-ready report.
It also allows for really easy knowledge sharing, both about our data and about general SQL/dashboarding tips and best practices within the company.

  ### 50. Incredible Tool for DQ checks and Sandboxing/model design

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.)

**Reviewed Date:** July 30, 2025

**What do you like best about Count?**

The canvas layout lends itself really well to data exploration and 'deep diving'
The ability to break SQL script into its individual CTEs makes model debugging very quick
Ability to combine SQL and Python seamlessly is great for when you need to iterate over a table (and SQL just doesn't cut it)
Count team is also super responsive and helpful! they've already implemented a couple of quality of life improvements we've suggested

**What do you dislike about Count?**

Potential issues around visibility, letting BIs 'run wild' with it can lead to useful analysis being easily lost in count folder structure

**What problems is Count solving and how is that benefiting you?**

Easy access and assessment/analysis of a large datawarehouse
Allows for quick and well structured 'boutique' analysis pieces
Allows quick exploration of data and debugging of large SQL models



- [View Count pricing details and edition comparison](https://www.g2.com/products/count/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-13+08%3A59%3A59+-0500&secure%5Bsession_id%5D=5a21f1b7-cacc-43c5-a05f-f31cecf94324&secure%5Btoken%5D=d6b896328434994d35ad5788521ff9f4b3cdc5edebbe9b8eb9f58e96af19d0c2&format=llm_user)
## Count Integrations
  - [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews)
  - [Azure Databricks](https://www.g2.com/products/azure-databricks/reviews)
  - [Databricks](https://www.g2.com/products/databricks/reviews)
  - [dbt](https://www.g2.com/products/dbt/reviews)
  - [GitHub](https://www.g2.com/products/github/reviews)
  - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)
  - [Looker](https://www.g2.com/products/looker/reviews)
  - [Microsoft Excel](https://www.g2.com/products/microsoft-excel/reviews)
  - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews)
  - [Notion](https://www.g2.com/products/notion/reviews)
  - [Slack](https://www.g2.com/products/slack/reviews)
  - [Snowflake](https://www.g2.com/products/snowflake/reviews)

## Count Features
**Reports**
- Reports Interface
- Steps to Answer
- Graphs and Charts
- Score Cards
- Dashboards

**Data Preparation**
- Connectors
- Data Governance

**Reports**
- Reports Interface
- Share Reports
- Steps to Answer

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Data Modeling and Blending**
- Data Querying
- Data Filtering
- Data Blending

**Visualization**
- Graphs and Charts
- Score Cards
- Dashboards
- Formats

**Data Updates**
- Historical Snapshots
- Real-Time Updating

**Collaboration**
- Sharing
- Co-Editing
- Devices

**Agentic AI - Analytics Platforms**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Proactive Assistance
- Decision Making

**Self Service **
- Calculated Fields
- Data Column Filtering
- Data Discovery
- Search
- Collaboration / Workflow
- Automodeling

**Deployment & Integration - Analytics Platforms**
- No-code Dashboard Builder
- Report Scheduling and Automation
- Embedded Analytics and White-labeling
- Data Source Connectivity

**Advanced Analytics**
- Predictive Analytics
- Data Visualization
- Big Data Services

**Performance & Scalability - Analytics Platforms**
- Large data handling and Query Speed
- Concurrent User Support

**Advanced Analytics & Modeling - Analytics Platforms**
- Data Modeling and Governance
- Notebook and Script Integration
- Built-in Predictive and Statistical Models

**Agentic AI Capabilities - Analytics Platforms**
- Auto-generated Insights and Narratives
- Natural Language Queries
- Proactive KPI Monitoring and Alerts
- AI Agents for Analytical Follow-ups

**Personalized Intelligence - Analytics Platforms**
- Behavioral Learning for Contextual Query Refinement
- Role-based Insight Personalization
- Conversational and Prompt-based Analytics

**Building Reports**
- Data Transformation
- Data Modeling
- WYSIWYG Report Design
- Integration APIs

**Platform**
- Mobile User Support
- Customization 
- User, Role, and Access Management
- Internationalization
- Sandbox / Test Environments
- Performance and Reliability
- Breadth of Partner Applications

**Data Updates**
- Historical Snapshots
- Real-Time Updating
- Email Reports

## Top Count Alternatives
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