Splunk Observability Cloud and HPE OneView compete in IT management and monitoring. Splunk holds an advantage in advanced analytics and application visibility, while HPE OneView offers robust management for HPE hardware infrastructure.
Features: Splunk Observability Cloud provides rapid log searching and analytics, custom dashboards, and incident detection, with extensive support for multi-cloud environments and application performance insight. HPE OneView centralizes infrastructure management with automation, health monitoring, and powerful server profile capabilities, making it valuable for managing HPE systems.
Room for Improvement: Splunk Observability faces challenges with integration complexity, licensing costs, support, and documentation. Users seek better endpoint protection and accessible training. HPE OneView needs to support more equipment, improve operational speed, enhance server profiles, and offer better network configuration settings.
Ease of Deployment and Customer Service: Splunk Observability Cloud supports various deployment models including hybrid and public clouds, with generally positive user-friendly experiences. HPE OneView focuses on on-premises environments, providing responsive and thorough technical support, but lacks cloud features, contrasting with Splunk’s broader capabilities.
Pricing and ROI: Splunk Observability Cloud is considered costly due to its data volume-based pricing, which may lead to price competitiveness issues, though it offers strong ROI by increasing efficiency and providing insights. HPE OneView is often free unless advanced features or licenses are involved, appealing to existing HPE infrastructure users by offering cost-effective management.
Using Splunk has saved my organization about 30% of our budget compared to using multiple different monitoring products.
Anyone working in front-end management should recognize the market price to see the true value of end-user monitoring.
I have definitely seen a return on investment with Splunk Observability Cloud, particularly through how fast it has grown and how comfortable other teams are in relying on its outputs for monitoring and observability.
The customer service and support have been responsive.
I would give the quality of HPE OneView's technical support an eight out of ten rating, indicating good customer service and support in my opinion.
The technical support for HPE OneView rates as an 8 on a scale from 1 to 10, where 1 is the worst and 10 is the best.
On a scale of 1 to 10, the customer service and technical support deserve a 10.
They have consistently helped us resolve any issues we've encountered.
They often require multiple questions, with five or six emails to get a response.
HPE OneView is highly scalable, especially useful for organizations with large infrastructures.
HPE OneView is a scalable solution since you can integrate any number of servers based on your license.
Scalability is fine as we can add Synergy frames and extend many frames as needed.
We've used the solution across more than 250 people, including engineers.
As we are a growing company transitioning all our applications to the cloud, and with the increasing number of cloud-native applications, Splunk Observability Cloud will help us achieve digital resiliency and reduce our mean time to resolution.
I would rate its scalability a nine out of ten.
The stability of the blades is concerning; we have frequent issues with blades having memory or power issues.
HPE OneView is a stable solution that works efficiently.
It supports unified monitoring effectively but may have areas for enhancement.
I would rate its stability a nine out of ten.
We rarely have problems accessing the dashboard or the page.
Unlike NetScout or regular agents for APM, RUM has many problems during the POC phase because customer environments vary widely.
The upgrade process is lengthy, requiring careful planning as we cannot match ESXi versions without aligning OneView first, leading to delays.
I believe the prices of HPE OneView should be reduced, as it is quite expensive.
From the dashboard and reporting perspective, HPE OneView could be improved by having multiple modules rather than just a single customization option.
The out-of-the-box customizable dashboards in Splunk Observability Cloud are very effective in showcasing IT performance to business leaders.
The next release of Splunk Observability Cloud should include a feature that makes it so that when looking at charts and dashboards, and also looking at one environment regardless of the product feature that you're in, APM, infrastructure, RUM, the environment that is chosen in the first location when you sign into Splunk Observability Cloud needs to stay persistent all the way through.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
Customers need to pay a substantial amount for the licenses, especially when monitoring a large number of servers and storages.
Our main concern is managing expenses related to the VMware licensing model which affects blade usage.
Splunk is a bit expensive since it charges based on the indexing rate of data.
It is expensive, especially when there are other vendors that offer something similar for much cheaper.
It appears to be expensive compared to competitors.
I can monitor everything in one view, which has significantly improved operational efficiency for us.
The ease of management with HPE OneView is excellent.
One of the best features of HPE OneView is that you get a complete architecture with a single click.
Splunk provides advanced notifications of roadblocks in the application, which helps us to improve and avoid impacts during high-volume days.
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
It offers unified visibility for logs, metrics, and traces.
Product | Market Share (%) |
---|---|
Splunk Observability Cloud | 1.8% |
HPE OneView | 1.4% |
Other | 96.8% |
Company Size | Count |
---|---|
Small Business | 22 |
Midsize Enterprise | 15 |
Large Enterprise | 51 |
Company Size | Count |
---|---|
Small Business | 20 |
Midsize Enterprise | 10 |
Large Enterprise | 43 |
HPE OneView is your infrastructure automation engine to simplify operations, increasing the speed of IT delivery for new applications and services. Through software defined intelligence, HPE OneView brings a new level of automation to infrastructure management by taking a template driven approach to provisioning, updating, and integrating compute, storage, and networking infrastructure. Designed with a modern, standard-based API and supported by a large and growing partner ecosystem, HPE OneView also makes it easy to integrate powerful infrastructure automation into existing IT tools and processes. Take command with HPE OneView to deploy infrastructure faster, simplify operations and increase productivity.
HPE OneView innovations provide you the industry’s best infrastructure management experience, simplifying operations for HPE BladeSystem, HPE ProLiant servers, 3PAR storage, HPE Networking and HPE ConvergedSystems.
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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