Likelihood to Recommend 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
Kyle Epps Sr. Manager, Business Operations and Technology
Read full review Quick dashboards from
Google Sheets - Easier to do the graphs than in
Google Sheets - Operational dashboards to be used in the day-to-day work - It is good both for retrospective data and to do a pulse check of the current status - Better for not giant amounts of data and not multiple data sources. - If you need a lot of graphs to be displayed on the same page, it can be a bit glitchy during configuration (then the use works fine).
Read full review Pros 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. Read full review Filtering - you can filter across different dimensions and metrics to get a more specific "cut" of data Refreshing - data automatically ingests into Looker which allows reports to be updated and backfilled in real time Conditional Reporting - you can leverage Looker's reporting features to flag when a given metric or KPI falls below or above a specified threshold. For example, if you had a daily sales benchmark in a SAAS organization, you could use Looker to flag whenever daily sales falls above or below the benchmark Read full review Cons 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. Read full review Looker is less graphical or pictorial which makes it less attractive Consumes a lot of memory when there are multiple rows and columns, impacts performance too At times when we download huge chunks of raw data from Looker dashbords, the time taken to prepare the file is enormous - The user fails to understand if Looker has frozen or if the data is getting prepared in the background for downloading. In turn, user ends up triggering multiple downloads Read full review Likelihood to Renew 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.
Read full review We've been very happy with Looker so far, and all teams in the organization are starting to see its value, and use it on a frequent basis. It has quickly become our accessible "source of truth" for all data/metrics.
Read full review Usability 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.
Read full review Looker is relatively easy to use, even as it is set up. The customers for the front-end only have issues with the initial setup for looker ml creations. Other "looks" are relatively easy to set up, depending on the ETL and the data which is coming into Looker on a regular basis.
Read full review Support Rating Never had to work with support for issues. Any questions we had, they would respond promptly and clearly. The one-time setup was easy, by reading documentation. If the feature is not supported, they will add a feature request. In this case, LDAP support was requested over OKTA. They are looking into it.
Read full review Online Training 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)
Read full review Alternatives Considered 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.
Read full review Looker is an off-the-shelf, free tool for Google business users. Other than the internal cost of time to build, we had no costs to set up what we needed to do. Knowledge sharing internally and using templates greatly reduced this cost, making the overall cost very low.
Read full review Scalability 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.
Read full review Return on Investment Allowing others to self-serve their own analytics and connect it to Looker simply and easily has helped unblock the central data team so they can instead focus on validated dashboards whilst stakeholders manage their day-to-day analysis themselves. Countless engineering hours have been freed up by not having to manage every user permission for each BI tool; we have a BYOBI approach; Bring Your Own BI Creation and management of a semantic layer (LookML =Looker Modeling Language ) allows peoples sandboxes and production databases to become clutter free. Minor adjustments, conditional fields, and even some modelling can all be done in LookML which doesn't need oversight or governance from the central data team. LookML, specifying drilldown fields and their sub-queries, as well as generally creating dynamic parameters with Liquid are all great features, but can have a steep learning curve. it may take some time to understand how to create this middle layer correctly, or even pose a risk of inheriting complex code from another source which can be unmaintainable if it becomes too big. Some level of governance is recommended if Looker is used by a large number of editors. Read full review ScreenShots Chartio (discontinued) Screenshots