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I like the user-research-first approach here a lot. Very different than many other BI tools in a refreshing way. In the past I've hesitated to consider Chartio
by mjirv 7y ago
I like the user-research-first approach here a lot. Very different than many other BI tools in a refreshing way. In the past I've hesitated to consider Chartio for my organization because most people don't know SQL, but I'm excited to give it a try now.
I also love how everything is a table. Looker does this, and it's great (though Chartio's implementation looks better). Tableau does not, which makes certain things a headache.
I do wonder how well this will scale to large datasets and columnar databases, though. Showing a preview of the tables is really cool and useful, but it is not what data warehouses like Redshift are designed for. The preview probably wouldn't load in time for my users to see it unless they just sit there waiting for it.
- thingsilearned 7y agoThanks, the user-research-first part was definitely enlightening and important to do. Our first many iterations were very wrong. As for large scale datasets - we do cache those sample tables and we only grab the first 10 rows. Also, BigQuery actually has a great API for fetching a set of sample data that we utilize heavily. They made it because of exactly the potential concerns you outlined around columnar stores.
- mjirv 7y agoOh neat, I didn't know that about BigQuery. Thanks for the tip!