Kibana vs. Looker Studio

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Kibana
Score 8.0 out of 10
N/A
Kibana allows users to visualize Elasticsearch data and navigate the Elastic Stack so you can do anything from tracking query load to understanding the way requests flow through your apps.N/A
Looker Studio
Score 8.1 out of 10
N/A
Looker Studio is a data visualization platform that transforms data into meaningful presentations and dashboards with customized reporting tools.N/A
Pricing
KibanaLooker Studio
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
KibanaLooker Studio
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
KibanaLooker Studio
Considered Both Products
Kibana

No answer on this topic

Looker Studio
Chose Looker Studio
In comparison to Kibana , its much easier and being free its worth a lot. Apart from that it has flexibility of connecting to more than 300 connectors, which is not there in Kibana. Apart from that no doubt its much better that in terms of visualization of Data, analytics etc.

A…
Top Pros
Top Cons
Features
KibanaLooker Studio
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Kibana
9.0
5 Ratings
7% above category average
Looker Studio
7.4
51 Ratings
13% below category average
Pixel Perfect reports9.02 Ratings8.235 Ratings
Customizable dashboards9.05 Ratings9.450 Ratings
Report Formatting Templates9.03 Ratings4.649 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Kibana
5.7
5 Ratings
34% below category average
Looker Studio
6.2
50 Ratings
26% below category average
Drill-down analysis7.05 Ratings7.442 Ratings
Formatting capabilities7.04 Ratings8.546 Ratings
Report sharing and collaboration3.04 Ratings6.250 Ratings
Integration with R or other statistical packages00 Ratings2.723 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Kibana
8.8
2 Ratings
5% above category average
Looker Studio
7.4
50 Ratings
12% below category average
Publish to Web9.52 Ratings9.444 Ratings
Publish to PDF8.52 Ratings6.743 Ratings
Report Versioning9.01 Ratings8.131 Ratings
Report Delivery Scheduling9.01 Ratings4.234 Ratings
Delivery to Remote Servers8.01 Ratings8.818 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Kibana
8.8
4 Ratings
7% above category average
Looker Studio
9.0
49 Ratings
10% above category average
Pre-built visualization formats (heatmaps, scatter plots etc.)7.04 Ratings9.549 Ratings
Location Analytics / Geographic Visualization9.52 Ratings9.546 Ratings
Predictive Analytics10.01 Ratings8.024 Ratings
Best Alternatives
KibanaLooker Studio
Small Businesses
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Medium-sized Companies
Mathematica
Mathematica
Score 8.2 out of 10
Mathematica
Mathematica
Score 8.2 out of 10
Enterprises
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
KibanaLooker Studio
Likelihood to Recommend
7.0
(5 ratings)
8.9
(51 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(1 ratings)
Usability
-
(0 ratings)
9.0
(3 ratings)
Support Rating
7.7
(2 ratings)
6.7
(10 ratings)
User Testimonials
KibanaLooker Studio
Likelihood to Recommend
Elastic
Kibana integrates seamlessly with Elastic Search which gives us access to parse and analyze data generated from our systems in order to make decisions. Also, Kibana helps us create insightful reports and dashboards that give us insights into the end-users usage on the system and helps us find the root cause of issues as well.
Read full review
Google
Does great at open canvas editing and letting you fully customize without the need for a grid. It is democratizing self-service no-code analytics. You do not need to be a data or analytics engineer to get started, and you can go very far based on how intuitive and straightforward the UI is. Some of the biggest challenges with Looker Studio relate to user management/security, embedding options, and issue support. For a long time, every user needed to have a Gmail to invite them to view a dashboard via login, not sure if that has been improved yet. You can let any user view without logging in, but that is not always recommended due to security reasons. In terms of embedding, you can only iframe dashboards. More sophisticated BI tools let you embed elements via API or Javascript. Iframing dashboards also make drill downs and dashboard to dashboard navigation tricky/near impossible. There is also no ability to contact Google for support when bugs or outages happen. They point everyone to the Data Studio community. There is some ability to get in contact with Google if you have an enterprise-level contract with Google Cloud, but the path for support is very ad hoc and not always fruitful.
Read full review
Pros
Elastic
  • Fast searches with powerful index.
  • Beautiful data visualizations.
  • Real-time observability.
Read full review
Google
  • Self-service
  • Easy to use, point and click
  • Little to no training required
  • Easy to share internally and externally
  • Rich visualizations
  • Canned reports
  • Easy to copy/paste/dupe existing reports
  • Ability to join data sets
  • Easy integration with various data sources
  • Flexible data integrations, including lowest common denominator (CSV, XLS, G-Sheets)
  • Wide range of APIs
  • Secure / authentication via Google SSO
  • Easy to share / re-assign ownership of reports and data sources
Read full review
Cons
Elastic
  • Some performance issues with large datasets.
  • Linking to dashboards makes extremely long urls.
  • Lack of reports.
Read full review
Google
  • Few functionalities are very exclusive only for data studio.
  • It's time taking to load data and at the same time only single Data source can be connected.
  • When editing the reports you have to switch between Edit and View mode to see how does the change looks like.
Read full review
Likelihood to Renew
Elastic
No answers on this topic
Google
It is the simplest and least expensive way for us to automate our reporting at this time. I like the ability to customize literally everything about each report, and the ability to send out reports automatically in emails. The only issue we have been having recently is a technical glitch in the automatic email report. Sadly, there is almost no support for this tool from Google, but is also free, so that is important to take into consideration
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Usability
Elastic
No answers on this topic
Google
Google Data Studio has a clean interface that follows a lot of UX best practices. It is fairly easy to pick up the first time you use it, and there is a lot of documentation on line to help troubleshoot, if needed
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Support Rating
Elastic
We did not use the official Kibana support. Documentation was easy enough to follow.
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Google
I give it a lower support rating because it seems like our Dev team hasn't gotten the support they need to set up our database to connect. Seems like we hit a roadblock and the project got put on pause for dev. That sucks for me because it is harder to get the dev team to focus on it if they don't get the help they need to set it up.
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Alternatives Considered
Elastic
Kibana has a better usability experience, the core features I was using existed in all of them. I liked more in Kibana how you can easily create dashboards, charts, and reports without the need to be a tech person.
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Google
Google Data Studio provides a great feature set considering its price point, especially when compared to commercial options from Microsoft and Tableau. While it may not be as versatile when it comes to working with and developing complex datasets, there is enough charm in its simple, easy-to-use UI to allow not-so-complex analytics to be conducted without having to hire a data analyst.
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Return on Investment
Elastic
  • Issues that affect checkout experiences for customers are able to be prioritized and solved quickly.
  • We are able to more efficiently use resources due to the automation of reporting alerts. Decreasing employee resources needed.
  • Visualization allows us to quickly share issues and explain to coworkers in order to escalate issues that can cost our bottom line.
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Google
  • Free, so the only investment is time
  • Because it doesn't have native support of non-Google sources, it can cost more money than Tableau
  • The time spent formatting the templates or building connectors can have a negative impact on ROI
  • As a agency, charging for the reporting service is profitable after the first month or two after building the dashboard.
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ScreenShots