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ELK Kibana vs Google Cloud Datalab comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

ELK Kibana
Average Rating
7.2
Number of Reviews
4
Ranking in other categories
No ranking in other categories
Google Cloud Datalab
Average Rating
7.8
Reviews Sentiment
6.4
Number of Reviews
6
Ranking in other categories
Data Visualization (26th), Data Science Platforms (22nd)
 

Featured Reviews

KJ
Engineer at Raytheon Technologies
Visualization tools are optimized providing us with increased flexibility
One area that could be improved is security. Being an open source product, if you want to add security, if you want to add authentication, you've got to use a third party plugin that may or may not cost you, or alternatively upgrade to their subscription service, which is a downside as well. I think the types of visualizations are nice, but I think there's room to add more without having to go to third party plugins to do that. Just comparing the total number of visualizations that it provides compared to Grafana, you can see that it's lacking. The UI experience isn't as rich as it is with Grafana or certain other tools. I would like to see better authentication options, typical authentication options, like active directory and LDAP as well, just a richer UI with more graph type options.
LJ
System Architect at UST Global España
dashboards are good and data visualization is more meaningful for the end-user
Access is always via URL, and unless your network is fast, it would be a little tough in India. In India, if we had a faster network, it would be easier. In a big data environment, like when forcing your database with over a billion records, it can be tough for the end-user to manage the data. You need to have a single entity system in each environment. It's not because of GCP, but it would be great to have options like MongoDB or other similar tools in GCP. Then, we wouldn't always need to connect to the cloud and execute SQL queries. Even if your application is always connected to its database, the processing can be cumbersome. It shouldn't be so complicated. Once the data is collected, it should be easily sorted.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The optimization and flexibility of visualization tools."
"The user interface is very good, and the data visualization is simple and user-friendly."
"Some visualization tools are optimized for time series like Kibana, which allows you to do both, and we like the flexibility of being able to analyze different types of data."
"The stability of this solution is fantastic, as it has not failed us for months and we use it extensively."
"Having a tool where you can find logs that were generated months ago, and being able to search over a long period of time, is great."
"The automatic update of the graphs from a dashboard is very convenient."
"For me, it has been a stable product."
"The APIs are valuable."
"Google Cloud Datalab is very customizable."
"In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."
"The infrastructure is highly reliable and efficient, contributing to a positive experience."
"All of the features of this product are quite good."
 

Cons

"One area that could be improved is security. Being an open source product, if you want to add security, if you want to add authentication, you've got to use a third party plugin that may or may not cost you, or alternatively upgrade to their subscription service, which is a downside as well."
"Populating data sometimes is also difficult for the user."
"Having a kind of wizard that would help you when you are typing your search would make it easier and quicker to refine your search, and ultimately find what you are looking for."
"This solution should allow the user to combine two indices into one graph and it should provide a unique count."
"Security could be improved thereby avoiding the necessity of a third party plugin."
"The product must be made more user-friendly."
"There is room for improvement in the graphical user interface. So that the initial user would use it properly, that would be a good option."
"The interface should be more user-friendly."
"Even if your application is always connected to its database, the processing can be cumbersome. It shouldn't be so complicated."
"Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience."
"We have also encountered challenges during our transition period in terms of data control and segmentation. The management of each channel and data structure as it has its own unique characteristics requires very detailed and precise control. The allocation should be appropriate and the complexity increases due to the different time zones and geographic locations of our clients. The process usually involves migrating the existing database sets to gcp and ensure data integrity is maintained. This is the only challenge that we faced while navigating the integers of the solution and honestly it was an interesting and unique experience."
 

Pricing and Cost Advice

Information not available
"The product is cheap."
"The pricing is quite reasonable, and I would give it a rating of four out of ten."
"It is affordable for us because we have a limited number of users."
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Top Industries

By visitors reading reviews
No data available
Construction Company
20%
Financial Services Firm
13%
Outsourcing Company
9%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Overview

 

Sample Customers

Sprint, Grab, Volkswagen, Autopilot, Voyages-SNCF.com, Just Eat, Accenture, Dell, Verizon Wireless, Kaidee, Green Man Gaming, Compare Group, Tango, Quizlet
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