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Google Cloud Datalab vs Splunk Enterprise Platform comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jan 1, 2025

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

Google Cloud Datalab
Ranking in Data Visualization
26th
Average Rating
7.8
Reviews Sentiment
6.4
Number of Reviews
6
Ranking in other categories
Data Science Platforms (22nd)
Splunk Enterprise Platform
Ranking in Data Visualization
2nd
Average Rating
8.6
Reviews Sentiment
6.2
Number of Reviews
95
Ranking in other categories
IT Alerting and Incident Management (2nd)
 

Mindshare comparison

As of October 2026, in the Data Visualization category, the mindshare of Google Cloud Datalab is 1.3%, up from 0.8% compared to the previous year. The mindshare of Splunk Enterprise Platform is 1.5%, down from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Mindshare Distribution
ProductMindshare (%)
Splunk Enterprise Platform1.5%
Google Cloud Datalab1.3%
Other97.2%
Data Visualization
 

Featured Reviews

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.
Koyena Paul - PeerSpot reviewer
Managed Security Services Associate at Accenture
Centralized security monitoring has transformed our threat detection and incident response
While Splunk Enterprise Platform is widely regarded as a powerful SIEM and observability platform, users across enterprises commonly report recurring challenges including licensing and data ingestion costs. Splunk Enterprise Platform's licensing is often based on the volume of data ingested, and as our organization grows, costs can increase significantly, and our teams may need to carefully decide which logs to ingest, which can limit visibility. A suggested improvement would be more flexible licensing options, better built-in recommendations for optimizing data ingestion, and smarter data compression or tiered pricing. There is also a steep learning curve where beginners can find SPL difficult. A suggested improvement would be more AI-assisted SPL generation, interactive tutorials, and guided dashboard creation with additional pre-built templates for common SOC use cases. These are the main areas for improvement that I can see: licensing flexibility, reducing the learning curve for new users, simplifying development, improving performance for very large datasets, and providing more AI-assisted features to reduce manual effort. In terms of adding more improvements, there are frequently discussed areas including easier third-party integrations. While Splunk Enterprise Platform supports many integrations, onboarding new security tools sometimes requires custom configurations or add-ons. A suggested improvement would be more plug-and-play integrations, faster support for new vendors, and then simplified administration. Administrators often manage indexes, forwarders, user roles, and cluster health, so a suggested improvement would be easier administration dashboards and automated health checks. These are suggestions that acknowledge Splunk Enterprise Platform's strengths while highlighting areas where many enterprise users see opportunities for further improvement. The primary areas for improvement that I see are licensing flexibility, simplifying administration, expanding plug-and-play integrations, and adding more AI-driven assistance for searches and investigations. These improvements would significantly simplify our tasks and help us solve more incidents in a lesser amount of time, making it flexible even for beginners.

Quotes from Members

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

Pros

"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."
"The APIs are valuable."
"For me, it has been a stable product."
"Overall, it is a great tool for security analysis and log monitoring, and it is one of the best tools we have been using."
"Splunk Enterprise enhances data analytics with its AI capabilities."
"The best features Splunk Enterprise Platform offers are the dashboards and the ability to aggregate all the logs that we have."
"The solution is very good for monitoring compared to other tools."
"Splunk Enterprise Platform is very user-friendly, and our users love the ability to use the search interface, which helps determine issues when you know something is happening, but you do not know where it is happening in all of our various items that exist, all the systems that produce logging data."
"Splunk Enterprise Platform has the Search Processing Language, which is the query language for the product, and the advantage is that I can log and monitor all of the microservices in a single location."
"Splunk Enterprise Platform makes our job far more entertaining and easy to work on, helping us save on costs, money, and efforts."
"What I find the most valuable about the platform is its DB Connect and its versatility in general. I also like its adaptability to any use case when it comes to collecting and analyzing data."
 

Cons

"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."
"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."
"Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience."
"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."
"The product must be made more user-friendly."
"I believe that Splunk Enterprise Platform is expensive, but that is about all I know regarding pricing, setup cost, and licensing."
"The support offered by Splunk Enterprise Platform has certain shortcomings that need improvement."
"For improvement, I do see a lot of issues with Splunk support, particularly with response times."
"I would like to see more flexible licensing, easier deployment and administration, enhanced AI-driven automation, and more built-in dashboards and detection content in Splunk Enterprise Platform."
"he product's initial setup phase needs to be made easy since it looks like it is very complex compared to the other tools in the market."
"There is a function of the DB Connect app that needs improving—if you are collecting logs and the logs do not have anything that you can use as a rising column to tell the system to continue from where you left off, you have to bring in your logs in a batch, which can lead to duplicates."
"We have had some frustrations with the amount of data we are sending to Splunk Enterprise Platform, as sometimes it contains information that is not needed, but that is more about my team needing to understand how to parse through that data before it gets sent to Splunk."
"I think the machine learning toolkit is fine, but when I talk about threat intelligence, it is not that effective."
 

Pricing and Cost Advice

"It is affordable for us because we have a limited number of users."
"The product is cheap."
"The pricing is quite reasonable, and I would give it a rating of four out of ten."
"I rate the product's pricing a ten on a scale of one to ten, where one is cheap, and ten is expensive. It is a very pricey tool."
"Splunk Enterprise Platform is an expensive solution."
"The product is expensive, and the cost depends on the amount of data ingestion."
"If you exceed your licensed limit, the product will issue a warning, typically a five-license warning. Additionally, they send daily email notifications informing you about the breach. This prompts you to consider options such as minimizing logs or acquiring additional licensing to address the issue."
"The tool is expensive."
"The solution's pricing increases with the amount of data used. This pricing model is acceptable because it aligns with the security features provided. It ensures that the price reflects the level of security and the amount of data we're managing."
"There are yearly payments to be made towards the licensing costs attached to the solution."
"On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing around seven or eight out of ten."
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Top Industries

By visitors reading reviews
Construction Company
18%
Comms Service Provider
13%
Financial Services Firm
11%
Outsourcing Company
10%
Financial Services Firm
14%
Outsourcing Company
13%
Construction Company
9%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business39
Midsize Enterprise11
Large Enterprise67
 

Questions from the Community

Ask a question
Earn 20 points
What needs improvement with Splunk Enterprise Platform?
I do not have any suggestions on how Splunk Enterprise Platform can be improved because I am happy with it. If I had to think of one area where Splunk Enterprise Platform could be better or easier ...
What is your primary use case for Splunk Enterprise Platform?
My main use case for Splunk Enterprise Platform is to monitor the video on demand success rate for our video platform. A specific example of how I use Splunk Enterprise Platform for monitoring the ...
What advice do you have for others considering Splunk Enterprise Platform?
My advice to others looking into using Splunk Enterprise Platform is to research the product and utilize all the support that Splunk provides. I have rated this review a ten out of ten.
 

Overview

Find out what your peers are saying about Google Cloud Datalab vs. Splunk Enterprise Platform and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.