Splunk Observability Cloud and Cribl compete in the observability and data management category. Splunk has the upper hand in offering feature-rich solutions, while Cribl focuses on cost-effective, streamlined data management.
Features: Splunk Observability Cloud provides robust log searching, data integration, and customizable dashboards for detailed application performance troubleshooting. It boasts real-time visibility across hybrid environments and a comprehensive service map. Cribl excels in data transformation, offering efficient log data management and real-time processing capabilities. Its strength lies in flexible data handling across multiple data sources.
Room for Improvement: Splunk could benefit from simplifying its complex and costly model, improving automated processes, microservices scaling, and better database connectors. There's also a need for more intuitive log navigation. Cribl would improve with better integration into existing systems and more intuitive documentation. Enhancing its version management and real-time data handling could prevent data loss.
Ease of Deployment and Customer Service: Splunk offers extensive deployment options, including on-premises, public, and hybrid clouds, although technical support feedback varies, sometimes described as slow. Cribl primarily supports on-premises and hybrid models, and is noted for responsive and effective support, although some users prefer internal expertise.
Pricing and ROI: Splunk's high licensing fees make it expensive, especially in data-heavy environments, but users report operational efficiency ROI. Cribl, while not the cheapest, is seen as more cost-effective with savings in licensing and operations, offering good value for scalable data management.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Over time, the licensing cost has increased.
Cribl is very inexpensive, with enterprise pricing around 30 cents per GB, which is really decent.
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.
The data reduction and preprocessing capabilities make Cribl really unique.
The community on Slack is excellent for solving questions and getting ideas.
Log enhancement is another feature, and when I say log optimization, this has been one of the best features for Cribl where you can reduce the log size by filtering the selective logs, enhancing the log quality by filtering the requested fields within the logs and filtering out the unnecessary garbage value within our logs.
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 | 1.9% |
Cribl | 1.0% |
Other | 97.1% |
Company Size | Count |
---|---|
Small Business | 8 |
Midsize Enterprise | 4 |
Large Enterprise | 7 |
Company Size | Count |
---|---|
Small Business | 19 |
Midsize Enterprise | 10 |
Large Enterprise | 44 |
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.
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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