We performed a comparison between Google Cloud Datalab and Splunk Enterprise 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."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."
"Splunk Enterprise Platform can be used for security, IT monitoring, and observability."
"The product's most valuable feature is the ability to explain the values and provide insights into transactions."
"The best thing about Splunk is you can collect all the data you want, and you can play with the data and do what you want."
"Splunk Enterprise is a wireless enterprise application that can be customized based on training."
"Splunk's real-time processing capability has been pretty good for my use cases."
"The product helps monitor and visualize data. It allows you to handle various tasks. You can store, visualize, and analyze data with the Splunk Enterprise Platform. It offers features like virtual folders and heavy folders for filtering data. Additionally, you can create dashboards to showcase data to different teams and stakeholders. The tool also enables the creation of analytics and alerts and sends reports, making it a valuable tool for our system."
"The most valuable feature of Splunk Enterprise Platform is that it's a customizable solution."
"Easy setup and maintenance"
"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."
"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 interface should be more user-friendly."
"The product must be made more user-friendly."
"The product doesn’t have prebuilt dashboards."
"The support offered by Splunk Enterprise Platform has certain shortcomings that need improvement."
"The tool lacked in providing a shareable format. I had to use pivot tables and manually parse and edit the data to create a visualization-friendly format. It was helpful when we had an issue. What would make it stronger is if it were more proactive. For example, if it highlighted major incidents and their impact on users without digging through notifications, that would be better. Typically, the first question we get is, "Oh, we had an incident. How bad was it? How many customers were impacted?" So having that information pop up from the notification would be helpful."
"It's not easy or feasible to reach out to Splunk directly."
"Things have to be managed manually"
"There is room for improvement in terms of scalability."
"The solution’s pricing could be improved."
"Splunk is not an out-of-the-box solution like Micro Focus or Zabbix. You have to create your request to collect the data and add crucial components to the software."
Google Cloud Datalab is ranked 20th in Data Visualization with 5 reviews while Splunk Enterprise Platform is ranked 7th in Data Visualization with 24 reviews. Google Cloud Datalab is rated 7.6, while Splunk Enterprise Platform is rated 8.4. 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 Enterprise Platform writes "A platform for monitoring storage, CPU, RAM, Windows logs, and Cisco network logs on large machines". Google Cloud Datalab is most compared with Databricks, IBM SPSS Statistics, Cloudera Data Science Workbench, KNIME and Qlik Sense, whereas Splunk Enterprise Platform is most compared with Apache Superset. See our Google Cloud Datalab vs. Splunk Enterprise Platform report.
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