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.
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Looker
Score 8.5 out of 10
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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.
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Pricing
Kibana
Looker
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Kibana
Looker
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Required
Additional Details
—
Must contact sales team for pricing.
More Pricing Information
Community Pulse
Kibana
Looker
Features
Kibana
Looker
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Kibana
9.0
Ratings
7% above category average
Looker
8.4
Ratings
3% above category average
Pixel Perfect reports
9.00 Ratings
7.90 Ratings
Customizable dashboards
9.00 Ratings
8.90 Ratings
Report Formatting Templates
9.00 Ratings
8.30 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Kibana
5.7
Ratings
33% below category average
Looker
8.4
Ratings
4% above category average
Drill-down analysis
7.00 Ratings
8.10 Ratings
Formatting capabilities
7.00 Ratings
7.80 Ratings
Report sharing and collaboration
3.00 Ratings
9.10 Ratings
Integration with R or other statistical packages
00 Ratings
8.70 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Kibana
8.8
Ratings
4% above category average
Looker
8.7
Ratings
5% above category average
Publish to Web
9.50 Ratings
8.30 Ratings
Publish to PDF
8.50 Ratings
9.00 Ratings
Report Versioning
9.00 Ratings
8.60 Ratings
Report Delivery Scheduling
9.00 Ratings
9.10 Ratings
Delivery to Remote Servers
8.00 Ratings
00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Great for teams big and small that want a single pane of glass for understanding their systems, from dev, to staging, to production. Well-suited for teams that need to preserve logs for long-term compliance reasons, and also mine their logs for useful operational insights. Highly recommended as both an open source project and a commercial offering with fantastic paid support.
When you need to create a centralised dashboard for multiple stakeholders that blends cross-channel reporting. As an SEO agency reporting for clients - Looker is a great solution. It's less appropriate depending on the intended users. For instance, in my experience Looker reports have been under-utilised because they're not accessed regularly, provide too much noise or often simple PDF reports are preferred
We are very haooy with Looker, it provides us with all the funciomalities we need for both the day to day oerformance tracking and longer periods reporting. It is easy to use for account managers, configurable and customizable for soecialists and what is most imoortant, our clinets generally really love it
Its usability is generally good and it provides teams with a basic to intermediate understanding about data visualization. It is very user-friendly when it comes to creating dashboards. The UI is very good and simple. Its integration with other tools for alerting and reporting is amazing. But its advance features have a learning curve and a first timer needs some time to use the advance features.
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.
Somehow resources heavy, both on server and client. I recommned at least 50Mbs data rate and high performance desktop comouter to be abke to run comolex tasks and configure larger amount of data. On the other hand, the client does not need to worry when viewing, the performance is usually ok
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.
Well when it comes to using Kibana when compared to Datadog, I can say that Kibana is pretty [...] cheap. Apart from APM and Datadog hosted agents, Kibana gives a good competition to Datadog for real time log analysis as well as metrics analysis. While OpsGenie is a great tool for alerting, it lacks visualization when compared to Kibana. Grafana is another opensource tool that gives a lot of insights like Kibana but Grafana cannot be easily integrated with OpenSearch.
In my opinion, Looker is no Power BI. It is good, but I think Power BI is amazing. That said, in my experience, Power BI is nowhere near as easy to setup and report on Google services as Looker is. We plan to continue using Power BI for c-suite and corporate reporting, especially for internal databases, but will gladly use Looker for our marketing information for AdWords, Analytics, Search Console, and YouTube.
Other than some people not liking the numbers, I don't see any negative impacts; we haven't experienced that.
The reports help us unravel the story of our users and how they are sifting through our pages.
Our clients enjoy seeing the numbers to understand better what stands out on their sites.
The reports have helped us see what campaigns are working and where we need to tweak things.
The reports have enabled us to have better conversations with stakeholders about how their web pages should be modified, edited, etc., to reflect the data.
