VMware Aria Operations for Logs and Apica compete in the enterprise log management and monitoring category. VMware seems to have an upper hand in support and pricing, while Apica stands out for its robust feature set and scalability.
Features: VMware Aria Operations for Logs offers comprehensive log analysis, tailored alert systems, and real-time monitoring. Apica provides advanced load testing, end-to-end visibility, and scalable monitoring capabilities.
Room for Improvement: VMware Aria Operations for Logs could improve analytics for larger data sets, enhance integration abilities, and increase customization options. Apica could benefit from simplifying its configuration process, reducing the learning curve, and improving user interface design.
Ease of Deployment and Customer Service: VMware Aria Operations for Logs is known for its straightforward deployment process and responsive customer support. Apica, while more challenging in the setup phase, offers reliable support from its dedicated team.
Pricing and ROI: VMware Aria Operations for Logs offers competitive setup costs and favorable long-term ROI. Apica requires a more significant initial investment, but its extensive feature set justifies the cost with perceived long-term value.
Customer service and support have declined.
While support staff is knowledgeable, getting access to specialists can be challenging when dealing with the limits of a product.
I did not need technical support because I am a professional with VMware.
APICa is scalable.
Since payment is based on hardware, scalability impacts are managed more effectively than with other tools paid by data volume.
It's relatively easy to find individuals with the skills to work with VMware because it is a widely spread tool.
VMware as a whole provides very stable tools.
Its stability is rated one hundred percent according to best practices.
It has been very stable, and every time I needed it, it was available and working.
When editing scripts, only one can be accessed at a time, risking changes affecting other folders.
There is also dissatisfaction with Broadcom's broader attitude, which is prompting me to search for alternatives.
VMware Aria Operations for Logs is not a cost-effective tool.
It would be beneficial to have a roadmap for these dashboards to ensure consistent functionality.
Splunk, often paid by the terabytes, becomes expensive quickly if not managed carefully.
The price has risen significantly, and for smaller customers, the cost can be up to ten times more than before.
The cost of using VMware Aria Operations for Logs was very high, around two to three million dollars, although the exact figure is uncertain.
It is useful for both performance and automation testing, facilitating access to headers and payloads easily, enhancing scripts with dynamic values.
This tool also provides greater insight when integrated with VMware infrastructure, making it more precise than other tools.
The most valuable features are log centralization and long-term retention for logs.
VMware Aria Operations for Logs is a very stable product.
Apica offers a unified platform to remove complexity and cost associated with data management. You collect, control, store, and observe your data and can quickly identify and resolve performance issues before they impact the end-user. Apica Ascent swiftly analyzes telemetry data in real-time, enabling prompt issue resolution, while automated root cause analysis, powered by machine learning, streamlines troubleshooting in complex distributed systems. The platform simplifies data collection by automating and managing agents through the platform’s Fleet product. Its Flow product simplifies and optimizes pipeline control with AI and ML to help you easily understand complex workflows. Its Store component allows you to never run out of storage space while you index and store machine data centrally on one platform and reduce costs, and remediate faster. Observe offers modern observability data management, helping you with MELT data, effortless dashboarding, and seamless integration of synthetic and real data.
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