What is Splunk Cloud?

Splunk Cloud is an end-to-end encrypted cloud service from Splunk that provides a platform for data analytics. It offers a user-friendly experience for data onboarding and a variety of tools to manage and analyze data. The service includes connected experiences through applications like Splunk AR, Splunk Mobile, and Splunk TV, which allow users to access insights from various devices and locations.

Features of Splunk Cloud

The platform features custom dashboards, data visualizations, and the proprietary Search Processing Language (SPL) for querying data. It supports machine learning, event pattern detection, and has over 140 analytical commands. Security is a focus with integrations such as SAML for single sign-on and compatibility with LDAP, Active Directory, and e-Directory.

Integration and Expansion

Splunk Cloud offers extensive integrations, including ODBC to access data within applications like Microsoft Excel or Tableau. It also provides over 2,000 apps and add-ons, ensuring compatibility and vetting for the cloud environment. Data management features like Dynamic Data and Active Archive are available for managing data storage and retention.

Support and Resources

Users have access to professional services, support for adoption and troubleshooting, and a variety of training and learning paths. Splunk Cloud aims to cater to different needs with multiple pricing plans based on compute capacity, workload, and data ingestion.

Comparison of Splunk Cloud vs Progress DataRPM

Overall Ratings

Progress DataRPM holds a higher rating of 4.5, surpassing Splunk Cloud's 4.3. This suggests users may find Progress DataRPM to deliver a more satisfying experience.

User Reviews

While Progress DataRPM has a superior rating, it is based on a significantly smaller sample size of only 2 reviews. In contrast, Splunk Cloud's rating is derived from 76 reviews, indicating a broader user base and more extensive feedback.

Vendor Information

Progress DataRPM is developed by Progress, whereas Splunk Cloud is a separate entity. The difference in vendors may imply distinct approaches to service and support.

Frequently Asked Questions

How do the ratings of Splunk Cloud compare to Progress DataRPM?

Splunk Cloud has significantly more ratings with a total of 76, whereas Progress DataRPM has only 2 ratings.

Which platform, Splunk Cloud or Progress DataRPM, has more user feedback?

Splunk Cloud has more user feedback as it has 76 ratings compared to Progress DataRPM's 2 ratings.

Can the number of ratings indicate the popularity or user base size of Splunk Cloud vs Progress DataRPM?

While not a definitive indicator, the number of ratings suggests that Splunk Cloud might be more popular or have a larger user base, with 76 ratings compared to Progress DataRPM's 2 ratings.

Why Choose Sourcetable Over Splunk Cloud and Progress DataRPM

Sourcetable provides a robust solution for data analysis with the capability to handle over 1 million rows of data. As an alternative to Splunk Cloud and Progress DataRPM, it excels in processing large datasets that exceed in-memory limitations, ensuring seamless data management without the need for extensive computational resources.

With its intuitive, no-code spreadsheet interface, Sourcetable leverages Excel-like formulas, enabling users to perform complex queries without prior coding knowledge. This feature positions Sourcetable as a user-friendly option for teams seeking to democratize data access and analysis.

The platform's live chart and dashboard creation tools offer real-time data visualization, which is crucial for businesses requiring instant insights. Sourcetable's synchronization capabilities with various business applications and databases further streamline data consolidation, providing a single system of record.

Sourcetable's built-in data warehouse and SQL query editor cater to both novices and experienced users who prefer traditional database querying methods. The platform ensures data integrity through end-to-end encryption, regular backups, and a non-destructive approach that prevents data overwriting.