Chartio (discontinued) vs. Looker

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Chartio (discontinued)
Score 7.5 out of 10
N/A
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
Looker
Score 8.3 out of 10
N/A
Looker is a BI application with an analytics-oriented application server that sits on top of relational data stores. It includes an end-user interface for exploring data, a reusable development paradigm for data discovery, and an API for supporting data in other systems.N/A
Pricing
Chartio (discontinued)Looker
Editions & Modules
Starter
$40
per user/per month
Professional
$60
per user/per month
Organization
Contact sales team
No answers on this topic
Offerings
Pricing Offerings
Chartio (discontinued)Looker
Free Trial
YesYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
YesYes
Entry-level Setup FeeNo setup feeRequired
Additional DetailsMust contact sales team for pricing.
More Pricing Information
Community Pulse
Chartio (discontinued)Looker
Considered Both Products
Chartio (discontinued)
Chose Chartio (discontinued)
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 …
Chose Chartio (discontinued)
Initially, we selected chartio because it was the easiest to connect to data and get going making visualizations. Ultimately, we moved away from Chartio because we needed a tool that would work as a buffer between our data structure and the visualizations. But majority of BI …
Looker
Chose Looker
Mode & Chartio require user to write SQL. Looker – Looker has very powerful data modeling layer – LookML that allows data engineers to abstract end users away from the complexity of underlying data (and SQL). End users can perform analysis by selecting dimensions, measures, …
Chose Looker
Tableau- Not web based which makes it more difficult to use and share templates etc. Seems more dated.
ChartIO - Looker's LookML layer that predefined joins was appealing to us vs a tool like ChartIO which requires more raw SQL comprehension.
Top Pros
Top Cons
Features
Chartio (discontinued)Looker
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Chartio (discontinued)
6.0
18 Ratings
33% below category average
Looker
8.1
97 Ratings
1% below category average
Pixel Perfect reports3.614 Ratings7.680 Ratings
Customizable dashboards7.718 Ratings8.896 Ratings
Report Formatting Templates6.714 Ratings7.982 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Chartio (discontinued)
5.7
14 Ratings
34% below category average
Looker
8.1
97 Ratings
0% above category average
Drill-down analysis6.913 Ratings8.294 Ratings
Formatting capabilities6.112 Ratings7.495 Ratings
Integration with R or other statistical packages3.15 Ratings8.040 Ratings
Report sharing and collaboration6.513 Ratings8.697 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Chartio (discontinued)
3.4
17 Ratings
84% below category average
Looker
8.6
93 Ratings
3% above category average
Publish to Web2.79 Ratings8.577 Ratings
Publish to PDF6.117 Ratings8.783 Ratings
Report Versioning2.05 Ratings8.263 Ratings
Report Delivery Scheduling2.712 Ratings8.983 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Chartio (discontinued)
7.5
15 Ratings
9% below category average
Looker
6.8
94 Ratings
17% below category average
Pre-built visualization formats (heatmaps, scatter plots etc.)7.215 Ratings8.192 Ratings
Location Analytics / Geographic Visualization7.212 Ratings7.581 Ratings
Predictive Analytics8.03 Ratings4.66 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Chartio (discontinued)
-
Ratings
Looker
8.5
93 Ratings
0% below category average
Multi-User Support (named login)00 Ratings8.988 Ratings
Role-Based Security Model00 Ratings8.381 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings8.688 Ratings
Report-Level Access Control00 Ratings8.429 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Chartio (discontinued)
-
Ratings
Looker
5.8
69 Ratings
32% below category average
Responsive Design for Web Access00 Ratings6.766 Ratings
Mobile Application00 Ratings5.01 Ratings
Dashboard / Report / Visualization Interactivity on Mobile00 Ratings6.560 Ratings
Best Alternatives
Chartio (discontinued)Looker
Small Businesses
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
BrightGauge
BrightGauge
Score 9.0 out of 10
Medium-sized Companies
Mathematica
Mathematica
Score 8.2 out of 10
Reveal
Reveal
Score 9.9 out of 10
Enterprises
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Jaspersoft Community Edition
Jaspersoft Community Edition
Score 9.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Chartio (discontinued)Looker
Likelihood to Recommend
8.0
(30 ratings)
8.4
(98 ratings)
Likelihood to Renew
8.0
(24 ratings)
9.0
(4 ratings)
Usability
7.6
(6 ratings)
8.8
(12 ratings)
Availability
8.6
(2 ratings)
-
(0 ratings)
Performance
7.3
(1 ratings)
-
(0 ratings)
Support Rating
-
(0 ratings)
8.8
(14 ratings)
Online Training
8.2
(1 ratings)
-
(0 ratings)
Implementation Rating
7.3
(1 ratings)
-
(0 ratings)
Product Scalability
6.8
(2 ratings)
-
(0 ratings)
User Testimonials
Chartio (discontinued)Looker
Likelihood to Recommend
Atlassian
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
Read full review
Google
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
Atlassian
  • 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
Google
  • 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
Atlassian
  • 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
Google
  • 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
Atlassian
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
Google
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
Atlassian
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.
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Google
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
Atlassian
No answers on this topic
Google
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
Atlassian
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
Google
No answers on this topic
Alternatives Considered
Atlassian
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
Google
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
Atlassian
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
Google
No answers on this topic
Return on Investment
Atlassian
No answers on this topic
Google
  • 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

Screenshot of Sample Executive DashboardScreenshot of Sample Zendesk DashboardScreenshot of Chartio's SQL Mode Chart CreatorScreenshot of SQL EditorScreenshot of Query BuilderScreenshot of Data Pipeline

Looker Screenshots

Screenshot of a Looker dashboard with a geo chart.