Splunk Observability Cloud and Akamai mPulse are prominent competitors in real-time monitoring and performance management tools. Based on data comparisons, Splunk Observability Cloud is often viewed favorably for its pricing and support, while Akamai mPulse is acknowledged for its comprehensive features, offering considerable value despite its cost.
Features: Splunk Observability Cloud focuses on advanced data analytics and infrastructure monitoring with robust dashboards and seamless integration capabilities. It supports open telemetry standards and offers customizable dashboards for comprehensive data visualization. Akamai mPulse is designed to monitor user experience across various platforms, featuring advanced anomaly detection and dynamic injection options connected to its broader capabilities as part of the Akamai suite.
Room for Improvement: Splunk Observability Cloud could enhance its anomaly detection features and expand compatibility with more third-party tools. Improved automation capabilities and fine-tuned machine learning integrations would elevate its functionality. Akamai mPulse might benefit from simplifying its deployment process and offering more cost-effective options. Greater flexibility in customization and an improved user interface could also enhance user experience.
Ease of Deployment and Customer Service: Splunk Observability Cloud is noted for an intuitive deployment model and extensive customer support, which increases user satisfaction. Akamai mPulse, despite offering dedicated customer service, has a more complex deployment process that can potentially pose challenges but is effectively countered by their proficient support team to resolve technical difficulties efficiently.
Pricing and ROI: Splunk Observability Cloud is perceived as a cost-effective option with a favorable return on investment due to its transparent pricing and scalable solutions. Akamai mPulse, although having a higher initial cost, justifies this through its comprehensive capability suite, leading to substantial long-term value despite the initial expense. The primary contrast lies in the balance between initial expenditure and the long-term value derived from the features offered.
| Product | Market Share (%) |
|---|---|
| Splunk Observability Cloud | 2.0% |
| Akamai mPulse | 0.6% |
| Other | 97.4% |
| Company Size | Count |
|---|---|
| Small Business | 1 |
| Large Enterprise | 6 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 10 |
| Large Enterprise | 43 |
Akamai mPulse is a real user monitoring (RUM) solution that gives performance engineers, administrators, and developers the ability to effortlessly visualize website functionality issues and identify ways to improve processes that conventional testing protocols do not find. mPulse gives users usable scenarios to better understand how processes such as user interactions, visual progress, and third-party resources may be disrupting the overall user experience and application delivery.
mPulse enables users to take a deep dive into the specific performance issues and complete comprehensive error analyses, to thoroughly understand the effect on critical user interactions such as conversions, page views, and more.
mPulse gathers and delivers data on an organization's website’s performance and metrics on user web browsing experiences. The mPulse feature “Boomerang” is a JavaScript Library that monitors the website page load time. Boomerang has a unique plugin architecture and works with all websites. The Boomerang feature is embedded on each page of an organization's website.
mPulse works seamlessly with Akamai solution Ion, so the RUM data can be instantly gathered once the Luna Control Center has been activated. Ion instantly attaches Boomerang to the organization’s web properties; there is no need to change the website code.
Akamai mPulse Benefits
Splunk Observability Cloud offers sophisticated log searching, data integration, and customizable dashboards. With rapid deployment and ease of use, this cloud service enhances monitoring capabilities across IT infrastructures for comprehensive end-to-end visibility.
Focused on enhancing performance management and security, Splunk Observability Cloud supports environments through its data visualization and analysis tools. Users appreciate its robust application performance monitoring and troubleshooting insights. However, improvements in integrations, interface customization, scalability, and automation are needed. Users find value in its capabilities for infrastructure and network monitoring, as well as log analytics, albeit cost considerations and better documentation are desired. Enhancements in real-time monitoring and network protection are also noted as areas for development.
What are the key features?In industries, Splunk Observability Cloud is implemented for security management by analyzing logs from detection systems, offering real-time alerts and troubleshooting for cloud-native applications. It is leveraged for machine data analysis, improving infrastructure visibility and supporting network and application performance management efforts.
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