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.

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 handle 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, provided data is already centrally available (e.g., in Google BigQuery), and is generally unproblematic. Count offers very good and responsive customer support via Slack, including a large community.

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!