VMware Aria Operations for Logs and Cribl compete in the IT solutions sector, focusing on log management and data processing. Cribl holds an advantage with its flexible data management and cost-effective solutions, while VMware Aria Operations excels in integration with VMware environments.
Features: VMware Aria Operations for Logs provides built-in dashboards and seamless integration within VMware environments, excelling in troubleshooting, root cause analysis, and infrastructure overview with alerts for effective log management. Cribl offers robust data processing capabilities, real-time data transformation, and flexible routing for enhanced data efficiency and storage cost-effectiveness, supporting diverse IT environments.
Room for Improvement: VMware Aria Operations for Logs faces challenges in scalability, integration with third-party systems, and complex dashboards. Users also cite a high price point and a lack of centralized monitoring. Cribl requires enhancements in documentation, logging capabilities, and better integration with legacy infrastructures. Its versioning system also poses challenges for team collaboration.
Ease of Deployment and Customer Service: VMware Aria Operations for Logs is mainly deployed on-premises with some hybrid cloud capabilities focusing on VMware integration. Its technical support has mixed feedback, with quick escalation praised but issues noted in reaching specialists. Cribl offers versatile deployment across on-premises, hybrid, public, and private clouds, with positive customer support but room for improved documentation.
Pricing and ROI: VMware Aria Operations for Logs is generally costlier, especially for smaller or mixed environments, but justified by its integration within VMware stacks. Cribl is seen as budget-friendly compared to Splunk, providing value through its credit-based pricing system and cost-effective data management, offering savings for organizations handling large data volumes.
In the case of optimization, it has helped return on investment to somewhere close to 50%.
we have saved a significant amount of time and resources moving from a manual approach to something that's more automated.
They had extensive expertise with the product and were able to facilitate everything we needed.
If they could enhance their internal logging, we won't require Cribl support to engage.
The community, including the engineering and sales teams, is available on Slack and is very supportive.
While support staff is knowledgeable, getting access to specialists can be challenging when dealing with the limits of a product.
Customer service and support have declined.
I did not need technical support because I am a professional with VMware.
It's an enterprise version, and we have a good amount of users using this solution.
I don't need to talk to a Cribl engineer to connect a new log source.
Cribl is quite scalable, as we could add worker nodes as our data grows.
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.
I would rate the stability as ten out of ten.
If the pipeline is down and we receive an alert that it's not sending information to the log collection platform for more than one or two hours, if we receive an alert, it would be great.
Cribl is quite stable and doesn't crash; there's no unusual behavior.
Managing a lot of data involves reliance on hardware and network performance, which are external factors that can affect stability.
It has been very stable, and every time I needed it, it was available and working.
VMware as a whole provides very stable tools.
If we can have more internal logs and more debug logs to validate the error, that would be beneficial because instead of reaching out to Cribl support, we can troubleshoot and find the root cause ourselves.
In terms of large datasets—whether they originated from network inputs, virtual machines, or cloud instances—ingesting the data into the destination was relatively easy.
Since Cribl is such a large platform with numerous features, having a clear, structured approach would make it easier for me and others to understand and utilize its capabilities.
It would be beneficial to have a roadmap for these dashboards to ensure consistent functionality.
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.
Over time, the licensing cost has increased.
Cribl is very inexpensive, with enterprise pricing around 30 cents per GB, which is really decent.
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.
VMware comes with a lot of packages, however, it remains too expensive.
The data reduction and preprocessing capabilities make Cribl really unique.
Cribl has a feature called JSON Unroll or Unroll function that allows you to differentiate the events; each event will come ingested as a single log instead of piling it up with multiple events.
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.
A valuable feature of VMware Aria Operations for Logs is its ability to allow personalization of dashboards and requests.
Product | Market Share (%) |
---|---|
Cribl | 2.5% |
VMware Aria Operations for Logs | 1.4% |
Other | 96.1% |
Company Size | Count |
---|---|
Small Business | 9 |
Midsize Enterprise | 4 |
Large Enterprise | 8 |
Company Size | Count |
---|---|
Small Business | 7 |
Midsize Enterprise | 9 |
Large Enterprise | 12 |
Cribl offers advanced data transformation and routing with features such as data reduction, plugin configurations, and log collection within a user-friendly framework supporting various deployments, significantly reducing data volumes and costs.
Cribl is designed to streamline data management, offering real-time data transformation and efficient log management. It supports seamless SIEM migration, enabling organizations to optimize costs associated with platforms like Splunk through data trimming. The capability to handle multiple data destinations and compression eases log control. With flexibility across on-prem, cloud, or hybrid environments, Cribl provides an adaptable interface that facilitates quick data model replication. While it significantly reduces data volumes, enhancing overall efficiency, there are areas for improvement, including compatibility with legacy systems and integration with enterprise products. Organizations can enhance their operational capabilities through certification opportunities and explore added functionalities tailored towards specific industry needs.
What are Cribl's most important features?Cribl sees extensive use in industries prioritizing efficient data management and cost optimization. Organizations leverage its capabilities to connect between different data sources, including cloud environments, improving both data handling and storage efficiency. Its customization options appeal to firms needing specific industry compliance and operational enhancements.
Manage data at scale with centralized log management, deep operational visibility and intelligent analytics for troubleshooting and auditing across private, hybrid and multi-cloud environments.
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