VMware Aria Operations for Logs and Cribl compete in data management and log analysis. Cribl appears to have the upper hand due to its scalability and cost efficiency, despite VMware's favorable pricing and support satisfaction.
Features: VMware Aria Operations for Logs stands out for its integration with VMware tools, straightforward log filtering, and comprehensive dashboards. Cribl focuses on real-time data transformation, robust data routing, and handling multiple data sources effectively.
Room for Improvement: VMware Aria Operations for Logs could enhance scalability, improve documentation clarity, and integrate better with third-party products. Cribl can improve compatibility with older infrastructures, logging capabilities, and user interface customization options.
Ease of Deployment and Customer Service: Both products offer on-premises deployment; Cribl also supports public cloud deployment. VMware's support is noted for specialization in VMware products, although response times can be slow. Cribl's support resolves issues effectively, but needs improved response efficiency.
Pricing and ROI: VMware Aria Operations for Logs offers cost advantages for VMware-heavy environments, with a favorable ROI despite being seen as expensive. Cribl is recognized for its cost-effective pricing and flexible billing structure, offering good value in data management.
The community, including the engineering and sales teams, is available on Slack and is very supportive.
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.
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.
Perhaps more flexibility in terms of metrics would be helpful.
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.
The community on Slack is excellent for solving questions and getting ideas.
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.
Cribl optimizes log collection, data processing, and migration to Splunk Cloud, ensuring efficient data ingestion and management for improved operational efficiency.
Cribl offers seamless log collection directly from cloud sources, allowing users to visually extract necessary data and replay specific events for in-depth analysis. It provides robust management of events, parsing, and enrichment of data, along with effective log size reduction. Cribl is particularly beneficial for migrating enterprise logs, optimizing usage, and reducing costs while streamlining the transition between different log management tools.
What are Cribl's most important features?
What benefits and ROI should users look for?
Cribl is widely implemented in industries requiring extensive data management, such as technology and finance. Users leverage Cribl to handle log collection, processing, and migration efficiently, ensuring smooth operation and effective data analysis. It aids in managing temporary data storage during downtimes and better handling historical data, preventing data loss and allowing extended periods for viewing statistics and monitoring trends.
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