Try our new research platform with insights from 80,000+ expert users

Google Cloud Datalab vs Splunk Cloud Platform comparison

 

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
18th
Average Rating
7.8
Reviews Sentiment
6.4
Number of Reviews
6
Ranking in other categories
Data Science Platforms (16th)
Splunk Cloud Platform
Ranking in Data Visualization
3rd
Average Rating
8.2
Reviews Sentiment
6.0
Number of Reviews
57
Ranking in other categories
IT Alerting and Incident Management (3rd)
 

Mindshare comparison

As of April 2025, in the Data Visualization category, the mindshare of Google Cloud Datalab is 0.6%, up from 0.4% compared to the previous year. The mindshare of Splunk Cloud Platform is 0.7%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization
 

Featured Reviews

Nilesh Gode - PeerSpot reviewer
Easy to setup, stable and easy to design data pipelines
The scalability is average. We have not faced any issues with scalability. There are more than 500 end users using this solution in our company. It is an integral part of the daily operations. The usage pattern is not a one-time thing; employees regularly access and utilize the application. We use it at a global level with a scattered user base. This means that users don't all use the application at the same time. So, around 300 out of 500 employees use the solution, and this usage is spread out throughout the day.
Ian Gatundu - PeerSpot reviewer
It improves our visibility and decision-making while helping us meet compliance standards
The Cloud Platform interface is cleaner than Splunk Enterprise's monitoring console. You can easily understand what's happening with your indexes. It's more refined than Splunk Enterprise's console, but they have the same feel and function. It's easy to monitor multiple cloud environments because you can create custom dashboards for any use case you may have. It offers good visibility because it integrates with the ITSI app, providing a clear overview of your environment. Integrating Splunk with other components on the cloud and network resources is effortless because it can collect data from various sources, including stored data from long-term storage. Splunk's reporting offers a good visualization of your data. You can visualize the statistics based on your searches. It produces some helpful graphs that enable you to easily compare what's happening in your search. It's very comprehensive.

Quotes from Members

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

Pros

"The infrastructure is highly reliable and efficient, contributing to a positive experience."
"In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."
"All of the features of this product are quite good."
"Google Cloud Datalab is very customizable."
"The APIs are valuable."
"For me, it has been a stable product."
"Not having to manage Splunk Cloud's infrastructure is valuable."
"Everything is maintained by the Splunk support team. Users do not have to maintain any physical servers. They do not have to maintain indexes and searches. It reduces a lot of work on the user side."
"Splunk Cloud Platform's search modes are a powerful feature."
"Splunk reduced our mean time to resolve by 30%. If an application starts misbehaving, we send logs to Splunk and check to see what's going on and see what's happening."
"Splunk has sped up our response and reduced the time we spend manually monitoring any logs for ticketing tools or servers. It saves us around two hours daily."
"As compared to other tools, it is very easy. It is very easy to learn. It also integrates well."
"Alerts are a huge benefit because we can customize them to each business unit's needs."
"The ability to correlate data and then present it in a meaningful and valuable way is crucial."
 

Cons

"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."
"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."
"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 dashboards should be easier to customize."
"We're interested in learning more about the new AI features, especially the natural language to SPL conversion."
"Every time they launch new versions, we experience a few bugs. The most recent version had a couple of bugs in the databases. We contacted the vendor and got assistance solving these bugs, so the environment is more stable."
"Extracting meaningful insights beyond essential log data proves challenging due to the product's reliance on manual processes."
"They need to provide more training options."
"They can offer more self-service capability to their customers. Currently, most of the things happen behind the Splunk Cloud Platform. As a customer, I do not have an opportunity to see my platform. If they can offer more self-service to see the health of my endpoints and stack, it would be appreciated."
"Since I work on data collection from external sources and send them into Splunk, I miss its ability to collect that data through REST API applications."
"Its stability and performance can be better. Very rarely does a day go by when we do not see an error in the console, such as a health check error. Because it is cloud-hosted, we do not have access to the backend to figure it out ourselves. We are reliant on their support to figure it out, and a couple of days later, the error comes back or it is a different error. It is a never-ending cycle of support tickets. Their support is also not great."
 

Pricing and Cost Advice

"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."
"There are additional features that you would need to purchase depending on your use case."
"The cost makes more sense for organizations that have a large amount of data ranges."
"I would rate the cost an eight out of ten, with ten being the most costly."
"The certifications are costly."
"I am familiar with the pricing and licensing model a little bit. I am not sure about the particulars of the actual price that we have, but I do like the idea of going towards a more CPU-based approach rather than the ingest approach because it allows us the ability to ingest more data if we need it."
"It is not that expensive."
"The pricing was negotiated through Trustwave and for our first contract in three years, we got a good deal."
"Currently, we have the ingest-based license. They are offering SVC-based licenses as well, but I am not a fan of SVC-based licensing. At the end of the day, I want to predict my budget and how much I am going to pay to the vendor so that I can plan my yearly budget."
report
Use our free recommendation engine to learn which Data Visualization solutions are best for your needs.
846,617 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
20%
Computer Software Company
12%
University
11%
Manufacturing Company
7%
Computer Software Company
29%
Financial Services Firm
12%
Retailer
5%
University
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Google Cloud Datalab?
Google Cloud Datalab is very customizable.
What needs improvement with Google Cloud Datalab?
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 forcin...
What is your primary use case for Google Cloud Datalab?
It's for our daily data processing, and there's a batch job that executes it. The process involves more than ten servers or systems. Some of them use a mobile network, some are ONTAP networks, and ...
What do you like most about Splunk Cloud Platform?
Splunk has sped up our response and reduced the time we spend manually monitoring any logs for ticketing tools or servers. It saves us around two hours daily.
What is your experience regarding pricing and costs for Splunk Cloud Platform?
Splunk Cloud is considered too expensive, with its two product offerings both being costly. I would rate the cost an eight out of ten, with ten being the most costly.
What needs improvement with Splunk Cloud Platform?
Splunk Cloud Platform needs improvement in its security offerings, specifically in cybersecurity. It has not kept pace with competitors over recent years, and integration with the Cisco ecosystem a...
 

Overview

 

Sample Customers

Information Not Available
Mindtouch
Find out what your peers are saying about Google Cloud Datalab vs. Splunk Cloud Platform and other solutions. Updated: March 2025.
846,617 professionals have used our research since 2012.