Apica and Cribl compete in software performance monitoring and data processing. Apica seems to have the upper hand in detailed monitoring and testing flexibility, while Cribl excels in real-time data transformation and routing.
Features: Apica offers robust scripting capabilities for complex test scenarios and integrates with tools like ZebraTester for comprehensive tests setup. It also features high accuracy in alert and visualization for event detection. Cribl excels in data transformation with powerful real-time processing capabilities, handling diverse data types efficiently. Its Stream product provides effective routing and integration with various data destinations.
Room for Improvement: Apica requires improvements in its user interface and GUI speed and could benefit from streamlined API access. Updates are necessary for outdated browsers in its synthetic monitors. Cribl's documentation could be enhanced, and there's a need for expanding integration capabilities. Some users report challenges with real-time data processing and log aggregation.
Ease of Deployment and Customer Service: Both Apica and Cribl are known for strong support and flexibility. Apica's customer service is consistently praised for responsiveness, especially in custom scripting and troubleshooting. Cribl is noted for adaptability, though users request better documentation and integration support.
Pricing and ROI: Apica offers a flexible pricing structure, reducing operational costs with its alerting accuracy. Cribl provides competitive pricing, potentially saving on data licenses compared to other solutions. Apica is highlighted for tailored pricing flexibility and ROI through downtime reduction, while Cribl's transparency and value are vital in data-intensive environments.
What we've seen is really an overall reduction of just shy of 40% in our ingest into our SIM platform versus prior to having Cribl.
The second thing is that data aggregation, sampling, and reduction that we're able to do of the data, lowering our overall data volume, both traversing the network as well as what's being stored inside of our final solutions.
In terms of reduction, we were able to save almost ~40% of our total cost.
They had extensive expertise with the product and were able to facilitate everything we needed.
Usually, within an hour, we get a response, and we are able to work with them back and forth until we resolve the issues.
Sometimes by hearing the problem itself, they will know what the solution is, and they will let us know how to resolve it, and we do it immediately.
APICa is scalable.
The infrastructure behind Cribl Search is also scalable as it uses a CPU and just spawns horizontally more instances as it demands and requires.
Compared to other SIEM tools I use, any slight change on the operating system end impacts a lot on our SIEM tools and other things, but Cribl performs well in that regard.
It's an enterprise version, and we have a good amount of users using this solution.
Migrating from those SC4S servers to Cribl worker nodes has truly been a game-changer.
Regarding scalability, we started with zero servers and have around 285 servers now.
I would rate the stability as ten out of ten.
When editing scripts, only one can be accessed at a time, risking changes affecting other folders.
A more stringent role-based access control feature would enhance security and allow granular control over what users can see and access.
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.
Over time, the licensing cost has increased.
Cribl is very inexpensive, with enterprise pricing around 30 cents per GB, which is really decent.
They have a universal license that allows us to consume the portions of Cribl that we want to use or flex into other portions of Cribl.
It is useful for both performance and automation testing, facilitating access to headers and payloads easily, enhancing scripts with dynamic values.
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 Cribl UI is very simple and easy to use, particularly when working with data from various sources; it makes it very easy to create pipelines, add complex logic to those pipelines, and then gives you a preview of what your data looks like before applying that pipeline and what you get after.
| Product | Market Share (%) |
|---|---|
| Cribl | 41.6% |
| Apica | 2.9% |
| Other | 55.5% |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 2 |
| Large Enterprise | 17 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 5 |
| Large Enterprise | 18 |
Apica leads in observability cost optimization, empowering IT teams to manage telemetry data economics efficiently. It supports various data types, reducing costs by 40% with flexible deployment options and eliminating tool sprawl through modular solutions.
Apica Ascent optimizes observability costs across metrics, logs, traces, and events and provides adaptability beyond proprietary formats. Its patented InstaStore™ technology ensures maximum storage efficiency and advanced root cause analysis. Organizations leverage Apica for comprehensive control over observability investments, reducing runaway costs. With solutions for mitigating high-cardinality data challenges, Apica supports any data lake preference and offers cloud or on-premises deployments. Its modular solutions eliminate unnecessary tool redundancies, enhancing economic efficiency in telemetry data management.
What features define Apica's capabilities?Apica addresses industry needs in monitoring and testing applications, enhancing user experience across sectors. It is instrumental in synthetic checks, load testing, API monitoring, and validating functionalities for stability in gaming, finance, eCommerce, and banking platforms. Apica's versatility supports both on-premises and cloud environments, ensuring accurate insights into service availability and network performance.
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.
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