Users report that Splunk APM excels in real-time monitoring, with a score of 8.7, allowing teams to quickly identify and address performance issues, while LogRocket's focus on session replays received a higher score of 9.4, making it a preferred choice for understanding user interactions in detail.
Reviewers mention that Splunk APM's performance analysis features, rated at 8.6, provide comprehensive insights into application performance, whereas LogRocket's error and bug tracking capabilities, rated at 8.7, are highlighted for their effectiveness in identifying and resolving issues quickly.
G2 users indicate that Splunk APM's quality of support is rated at 9.2, which is significantly higher than LogRocket's 8.9, suggesting that users may find more reliable assistance when using Splunk APM.
Users on G2 report that LogRocket's user-level analytics score of 8.2 is beneficial for tracking individual user behavior, while Splunk APM's account-level analytics scored lower at 7.7, indicating a potential gap in detailed user insights.
Reviewers say that Splunk APM's multi-system monitoring capabilities, rated at 8.1, are advantageous for enterprises managing complex infrastructures, while LogRocket's focus on session replays and behavioral analysis is more suited for small businesses looking to enhance user experience.
Users report that Splunk APM's ease of setup is rated at 8.3, which is lower than LogRocket's impressive score of 9.1, suggesting that LogRocket may be more user-friendly for teams looking to implement quickly.
What are the best practices when it comes to masking or excluding the data from collection?
1 Comment
CK
Hi Bakul, great question! We would recommend hiding any sensitive user information such as passwords, credit card information, and personal data.
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