We are excited to announce the introduction of a new, often-requested chart type to Chartio: the sparkline. Read on to learn more about what this chart type is used for and how you can use it to gain insights into your data. ...
It’s time for a summer review! For the past few quarters we’ve focused on two main themes: performance, and making Chartio more intuitive. Here are some of the biggest improvements we’ve released recently to support these goals.....
At Chartio, we’re always looking for ways to JOIN people ON data and today we’re happy to announce that now we’re joining people on data through Slack! Sharing and communication is vital to any data driven organization and now through Slack, it’s easier than ever to share data with the right people....
You may have noticed (or more likely no longer notice) that Chartio has had less and less downtime for deploys. It’s not that we’re not doing releases - we’re doing more than ever - but we’ve slowly been reducing the reasons for needing any downtime in the deploy. Find out more about our zero downtime....
We’ve been releasing a lot of features lately and often just move on to the next one without fully writing about it. I wanted to take a second to highlight two fairly minor but quite nice features that came out of a few customer meetings recently. Learn about dashboard urls and chart series focus....
With our customers relying on over 100,000 dashboards and 2,000,000 charts in Chartio to run their business, query performance is something our engineering team is very serious about. Find out one of the ways we are reducing database load by eliminating duplicate queries....
Stay up-to-date without being taken away from your most important daily tasks. Read on about the launch of Chartio's new alerting feature....
We are excited to announce that Chartio supports Amazon Athena, an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Read more about the integration announcement in this blog post....
With the Advanced Data Pipeline, we brought the aspects of the Data Explorer you know, and transformed it to do more. Now, visualizing your data workflow is easier, and you get more power by being able to do multiple merges....
Introducing Data Stores, a better way to store and transform data, making it possible to skip ETL and data warehousing. Data Stores simply ETL itself, using the Data Pipeline UI to rapidly layer in summary or rollup tables....