Chartio is a visualization tool designed to enable anyone to explore, transform and visualize data on the fly through a drag-and-drop interface. Chartio was acquired by Atlassian in February 2021 so that it's capabilities could be integrated into the Atlassian product portfolio's capabilities. Chartio is no longer available to new customers, standalone. Existing customers must migrate to alternatives by March 2022, when the service will be retired.
$40
per user/per month
IBM Analytics Engine
Score 8.5 out of 10
N/A
IBM BigInsights is an analytics and data visualization tool leveraging hadoop.
Chartio is a great tool for building presentable dashboards. It can export, you can add read-only access, and it has permissions levels by dashboard for users. There are other data analysis tools that help to analyze the data, but few allow for such a nice presentation
Well suited for my big data related project or a static data set analysis especially for uploading huge dataset to the cluster.
But had some issues with connecting IoT real-time data and feeding to Power BI. It might be my understanding please take it as a mere comment rather than a suggestion.
Direct linkage to our databases. Abstracts away the visualization layer so we can focus on the data and the queries.
Host of graphs and tools that permits all types of data visualizations.
Haven't quite used this yet, but there is a new embedding feature that will be very helpful so that we can embed the charts into a company central dash.
There is not a last full month date range option. You can still get the range that you need, but the dashboards will have to be manually updated to exclusively display one whole month.
When building a chart, the area which displays your tables and fields is finite. You can't adjust the size to make it easier to see. They do allow a mouse-over to see the entire name of your table/field, but I would prefer to adjust the width.
Once you modify a query in the Custom Query tab, there doesn't seem to be a way to go back to using the U.I.
Easier pricing and plug-and-play like you see with AWS and Azure, it would be nice from a budgeting and billing standpoint, as well as better support for the administration.
Bundling of the Cloud Object Storage should be included with the Analytics Engine.
The inability to add your own Hadoop stack components has made some transfers a little more complex.
Great customer support: You will receive an answer by email usually within 20-30 minutes. Not only that but our CSMs for Chartio go out of their way to help, they have even created charts for some of the less experienced users that wanted an example to work from. We have had nothing but great experiences with this team.
I really like using Chartio. I use it on a daily basis for pulling data from different sources and combining data (the explore tab was a great idea for this use). I think I would give it 8/10 because there needs to be more documentation or maybe blog posts about things people are doing with it. I only have my own ideas about what to do /how to graph things. I know there are some articles, but it would be awesome to have a section on the neat dashboards people are building or how they show data in different ways. Another complaint is how much time it takes to load. I know our databases aren't set up precisely for Chartio and I have been creating data stores. But the data stores have so many more limitations that adds a whole new layer of frustration. Love the product, keep up the good work and the fast fixes.
I use self learning materials. Pretty helpful. I find myself having to go back to the "drilldown" instructions though, and have a hard time finding hidden variables on a dashboard, so perhaps there is room for intuitive improvements (or maybe I'm just being lazy)
Chartio so far has been the easiest BI tool to setup and has also been the most affordable. There are some other, great, BI tools out there but they were a bit to heavy handed for what we needed. Also - despite the high cost per user in Chartio, the other tools were still more expensive.
We initially wanted to go with Google BigQuery, mainly for the name recognition. However, the pricing and support structure led us to seek alternatives, which pointed us to IBM. Apache Spark was also in the running, but here IBM's domination in the industry made the choice a no-brainer. As previously stated, the support received was not quite what we expected, but was adequate.
Chartio has worked well as our datawarehouse has rapidly expanded, and the usability/performance hasn't seemed to have suffered. What we haven't yet realized is additional savings from additional users. We have some dashboard needs for users who truly just view of a few charts, and the licensing structure hasn't yet been structured in a way that would support that type of approach...having 50 "core" licenses, and then potentially several hundred view only licenses for partners that would use the application infrequently.
This product has allowed us to gather analytics data across multiple platforms so we can view and analyze the data from different workflows, all in one place.
IBM Analytics has allowed us to scale on demand which allows us to capture more and more data, thus increasing our ROI.
The convenience of the ability to access and administer the product via multiple interfaces has allowed our administrators to ensure that the application is making a positive ROI for our business users and partners.
