We performed a comparison between Google Cloud Datalab and Splunk Cloud Platform based on real PeerSpot user reviews.
Find out in this report how the two Data Visualization solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The APIs are valuable."
"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."
"The infrastructure is highly reliable and efficient, contributing to a positive experience."
"Google Cloud Datalab is very customizable."
"The ability to correlate data and then present it in a meaningful and valuable way is crucial."
"The most valuable feature is we don't have to deal with any back-end server maintenance because the solution is cloud-based."
"The most valuable feature of Splunk Cloud is the quick setup."
"It has end-to-end visibility into our cloud-native environment, which is pretty important for us. About 80% of our infrastructure is on AWS."
"Dashboards and alerting are the most valuable features. The dashboards let us see how the system looks in terms of anomalies, and the alerts trigger us to go and look at what possible problems are happening."
"Its interconnectivity with the cloud platforms, such as Azure and AWS, was valuable."
"It's made searching for data easier. Users like it. We're still in the migration process, but overall, it's a lot easier to use."
"The Splunk Cloud Platform has reduced our mean time to resolve. It has easily saved 20 to 30 minutes every time someone gets locked out. We get 10 or 15 instances per day where people get locked out. It definitely saves a few hours per day."
"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 product must be made more user-friendly."
"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."
"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."
"They need to provide more training options."
"Splunk should increase the frequency of new feature releases, particularly those related to real-time operational flow monitoring and analytics reporting."
"There is sometimes no documentation or updated documentation available."
"The only thing that is missing from Splunk Cloud is the command-line interface."
"Customization could be simplified."
"The dashboards should be easier to customize."
"When one of my customers needs an app, and I am able to find that app on the Splunk base, I have to create a ticket and wait for five days for them to download the app into the cloud environment. That is probably one of the main things. It is painful because I have to wait to get that app in the cloud."
"The Splunk Cloud Platform dashboard could benefit from some improvements."
Google Cloud Datalab is ranked 20th in Data Visualization with 5 reviews while Splunk Cloud Platform is ranked 3rd in Data Visualization with 36 reviews. Google Cloud Datalab is rated 7.6, while Splunk Cloud Platform is rated 8.0. The top reviewer of Google Cloud Datalab writes "Easy to setup, stable and easy to design data pipelines". On the other hand, the top reviewer of Splunk Cloud Platform writes "Does not require backend maintenance, is easily integrated and utilized". Google Cloud Datalab is most compared with Databricks, IBM SPSS Statistics, Cloudera Data Science Workbench, KNIME and Qlik Sense, whereas Splunk Cloud Platform is most compared with Wazuh, Splunk Enterprise Security, Fortinet FortiAnalyzer, AppInsights and Check Point Security Management. See our Google Cloud Datalab vs. Splunk Cloud Platform report.
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We monitor all Data Visualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
