Google Cloud Datalab vs Splunk Cloud Platform comparison

Google and Splunk are both solutions in the Data Visualization category. Google is ranked #17 with an average rating of 7.5, while Splunk is ranked #3 with an average rating of 8.4. Google holds a 1.1% mindshare in DV, compared to Splunk’s 1.0% mindshare. Additionally, 80% of Google users are willing to recommend the solution, compared to 94% of Splunk users who would recommend it.

Google Cloud Datalab

Read 6 Google Cloud Datalab reviews

989 Views
326 Comparison Views

80% willing to recommend

Splunk Cloud Platform

Read 58 Splunk Cloud Platform reviews

1,956 Views
567 Comparison Views

94% willing to recommend

Google Cloud Datalab

Splunk Cloud Platform

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 1, 2025

Google Cloud Datalab and Splunk Cloud Platform compete in data analysis and cloud services. Splunk Cloud Platform has an advantage due to its feature-rich data analysis capabilities, despite its higher pricing.

Features: Google Cloud Datalab supports integration within Google's ecosystem and offers tools ideal for users embedded in Google Cloud. It benefits from seamless integration and data visualization capabilities, enhanced by AI features like auto-completion. Splunk Cloud Platform excels in data indexing, analytics, and handling large-scale data with robust machine-learning tools. It is praised for its powerful search and log aggregation features.

Room for Improvement: Google Cloud Datalab could enhance its AI configuration processes, which sometimes require node adjustments and server restarts. Its support within the broader Google framework may be cumbersome for some users. Splunk Cloud Platform, while feature-rich, could improve integration process simplicity as its advanced customization requires technical expertise. Its cost might be prohibitive to smaller organizations seeking fewer features.

Ease of Deployment and Customer Service: Google Cloud Datalab offers easy deployment within Google Cloud, benefiting from Google's resource availability but involving broader service navigation. Splunk Cloud Platform provides customizable deployment, demanding more technical knowledge. Its customer service is noted for responsiveness and is considered a key differentiator.

Pricing and ROI: Google Cloud Datalab's cost-effectiveness attracts organizations within Google's ecosystem, offering quick ROI with low setup costs. Splunk Cloud Platform, although more expensive, delivers ROI through advanced data handling and functionalities, appealing to businesses needing comprehensive solutions.

To learn more, read our detailed Google Cloud Datalab vs. Splunk Cloud Platform Report (Updated: December 2025).

Buyer's Guide

Google Cloud Datalab vs. Splunk Cloud Platform

December 2025

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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

17th

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Science Platforms (19th)

Splunk Cloud Platform

Ranking in Data Visualization

3rd

Average Rating

8.2

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

IT Alerting and Incident Management (2nd)

Mindshare comparison

As of January 2026, in the Data Visualization category, the mindshare of Google Cloud Datalab is 1.1%, up from 0.5% compared to the previous year. The mindshare of Splunk Cloud Platform is 1.0%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Market Share Distribution
Product	Market Share (%)
Splunk Cloud Platform	1.0%
Google Cloud Datalab	1.1%
Other	97.9%

Data Visualization

Featured Reviews

LijomonJose

System Architect at UST Global EspaÃ±a

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.

Read full review

Job Asiimwe

Sr Manager at Continued

Needs better cybersecurity features but offers robust log ingestion

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 after Cisco's acquisition of Splunk has also been slow. The product should incorporate more readily available features, especially in security monitoring. The federated search feature is costly. Extracting meaningful insights beyond essential log data proves challenging due to the product's reliance on manual processes. Users must manually configure detections, develop logic for insights, and manage dashboards. While the product boasts numerous out-of-the-box capabilities, these often require extensive modification to align with specific user needs, limiting their practical applicability. Splunk Cloud Platform doesn't inherently provide visibility as a standalone product. It's a platform for building custom visibility solutions. We need to feed it data and then write logic to define what insights we want to extract. While pre-built solutions might be available in the marketplace, Splunk doesn't offer out-of-the-box visibility. If we know our requirements, we can utilize code and research to create custom dashboards, but it requires effort and expertise. The pre-built reports in Splunk Cloud Platform are generic and require manual adjustments to extract specific, granular information, which requires the user to be knowledgeable.

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Quotes from Members

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

Pros

"In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."

"The APIs are valuable."

"For me, it has been a stable product."

"All of the features of this product are quite good."

"Google Cloud Datalab is very customizable."

"The infrastructure is highly reliable and efficient, contributing to a positive experience."

"Splunk Cloud has helped us to be able to focus on getting more information out of our data."

"The most valuable feature of Splunk Cloud Platform is its flexibility and readiness because it's already prebuilt, and everything is click-to-go."

"Splunk helped reduce our mean time to resolve by around 60%."

"This is a complete log reporting tool."

"The most valuable feature of Splunk Cloud Platform is its robustness and ability to ingest logs."

"The initial setup was straightforward."

"The data management and instant search features are the most valuable ones for us, as they allow us to instantly retrieve information needed for reports and security compliance."

"In terms of the benefits of the product, I would say it is my go-to tool."

More Splunk Cloud Platform pros

Cons

"The product must be made more user-friendly."

"Even if your application is always connected to its database, the processing can be cumbersome. It shouldn't be so complicated."

"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."

"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."

"The pricing model makes the product costly."

"It is sometimes slow. Some of that has to do with the queries themselves not being efficient, but sometimes it is slow."

"The Splunk Cloud Platform deployment process could be improved to reduce the time required."

"It needs to mature; it's just getting established in the industry on a wider scale."

"Customization could be simplified."

"Using basic natural language in English instead of writing a regex expression will be helpful."

"Some of the Victoria Experience that was rolled out is not yet fully everywhere. The AI assistant is going to be good, but we are on GCP, so I am worried about how fast it is going to get rolled out and if it is going to be nine months late for the GCP customers or not."

"There are a lot of functionalities that are missing for Splunk Cloud hosted on GCP but they are available on AWS. Adding more IPs to allow lists and many other functionalities are not supported on Splunk Cloud hosted on GCP. One good example is the ingest action which is not there in Splunk Cloud hosted on GCP. I wish they would add these missing features to the GCP platform."

More Splunk Cloud Platform cons

Pricing and Cost Advice

"It is affordable for us because we have a limited number of users."

"The pricing is quite reasonable, and I would give it a rating of four out of ten."

"The product is cheap."

"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."

"The cost of using Splunk Cloud Platform is high, but the value it provides is worth the investment."

"The price is something that people complain about."

"We were on ingest. We were on-prem, and when we switched to the cloud, we went to an SVC model, and that has been a huge help. We are now able to ingest more data than before."

"The certifications are costly."

"The pricing was negotiated through Trustwave and for our first contract in three years, we got a good deal."

"Splunk Cloud Platform fell within our budget so we pulled the trigger and implemented it."

"My company has a license for Splunk Cloud Platform. My company also has a license for Splunk Enterprise."

More Splunk Cloud Platform pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

25%

Computer Software Company

10%

University

Manufacturing Company

Computer Software Company

17%

Financial Services Firm

12%

Manufacturing Company

Performing Arts

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	6
Large Enterprise	42

Questions from the Community

What do you like most about Google Cloud Datalab?

Google Cloud Datalab is very customizable.

See all answers

What needs improvement with Google Cloud Datalab?

See all answers

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 ...

See all answers

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.

See all answers

What is your experience regarding pricing and costs for Splunk Cloud Platform?

If I were to rate the price for the product from 1 to 10, I would rate it nine.

See all answers

What needs improvement with Splunk Cloud Platform?

The disadvantage of Splunk Cloud Platform is that its integration process should be improved. The challenges I have encountered while integrating Splunk Cloud Platform include that integration is a...

See all answers

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Qlik Sense vs Google Cloud Datalab

Compared 7% of the time

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Compared 19% of the time

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Compared 14% of the time

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Compared 13% of the time

Apache Superset vs Splunk Cloud Platform

Compared 13% of the time

AppInsights vs Splunk Cloud Platform

Compared 8% of the time

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Product Reports

Buyer's Guide

Google Cloud Datalab

January 2026

Download Google Cloud Datalab product report

Buyer's Guide

Splunk Cloud Platform

January 2026

Download Splunk Cloud Platform product report

Overview

Cloud Datalab is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform. It runs on Google Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.

Google

Splunk Cloud Platform enhances operational efficiency with streamlined log management and real-time data analysis, offering customizable dashboards, seamless system integration, and a user-friendly interface that simplifies infrastructure management.

Splunk Cloud Platform stands out for its robust indexing and powerful search capabilities, delivering end-to-end visibility across environments. AI-driven security measures enhance cybersecurity intelligence, while its flexible log management reduces resolution times. The platform integrates effortlessly with diverse systems, supporting centralized log management, security monitoring, and application performance analysis. Users leverage its comprehensive analytics for troubleshooting, alerting, and visualization, optimizing costs and ensuring compliance with unified data sources.

What are the key features of Splunk Cloud Platform?

Customizable Dashboards: Personalized insights with adaptable visualizations.
Powerful Search Capabilities: Advanced search functions that simplify data retrieval.
Seamless Integration: Easily connects with various systems to consolidate data.
Quick Setup: Accelerated deployment process, reducing time to value.
AI-driven Security Measures: Advanced protection with automated threat detection.
Real-Time Data Analysis: Instant insights for timely decision-making.

What benefits and ROI should users expect?

Enhanced Operational Efficiency: Streamlined processes reduce workload.
Reduced Resolution Times: Faster issue identification and resolution.
Cost-Effectiveness: Optimize resources and reduce expenses.
End-to-End Visibility: Comprehensive understanding across environments.
Flexibility in Log Management: Adaptable to business needs with ease.

In many industries, Splunk Cloud Platform is implemented primarily for unified log management, cybersecurity initiatives, and application performance monitoring. Businesses utilize it to streamline IT operations, integrate data sources, and leverage insights for troubleshooting and strategic decision-making, ensuring compliance and optimized resource use.

Splunk

Sample Customers

Information Not Available

Mindtouch

Buyer's Guide

Google Cloud Datalab vs. Splunk Cloud Platform

December 2025

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