Logpoint and Cribl are leading products in the log management and data handling category. Logpoint seems to have the upper hand with its comprehensive SIEM capabilities, while Cribl stands out for its real-time data manipulation and cost-efficiency.
Features: Logpoint offers a comprehensive logging solution that includes powerful analytics, good dashboards, and UEBA and SOAR capabilities. Its machine learning capabilities for monitoring activities and support services for log translation are valued by users. Cribl differentiates with real-time data transformation, simplified log collection, and flexible data routing, also enhancing logs by reducing unnecessary data and efficiently directing data to multiple destinations.
Room for Improvement: Logpoint could improve integrations with third-party solutions and simplify the user interface for complex tasks. Users have noted challenges with log parsing and the need for more intuitive dashboards. Cribl could enhance its documentation, improve its versioning system, and introduce an alert mechanism for data loss prevention. Compatibility with legacy systems and better logging and debugging capabilities are also areas for Cribl to consider expanding.
Ease of Deployment and Customer Service: Logpoint supports on-premises deployments, providing a less flexible option compared to Cribl, which offers both on-premises and hybrid cloud options. Logpoint's customer service is responsive but faces challenges in technical support availability and quality. Cribl’s technical support is generally good, though there are reported delays in response times. Cribl provides more deployment flexibility, whereas Logpoint offers promising but challenging support services.
Pricing and ROI: Logpoint's pricing based on devices is straightforward, offering predictable costs but can become expensive over time. ROI is highlighted through its compliance and security service offerings. Cribl is perceived as more cost-effective than competitors like Splunk due to its focus on data processing pricing rather than data volume, offering competitive pricing and discounts, presenting budget-friendly solutions for 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.
Logpoint's customer support is not sufficient with only one engineer in the US.
The technical support for Logpoint is very good, and I would rate it as nine out of ten.
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.
It is web-based and accommodates the expansion of our organization.
Logpoint is scalable and capable of expanding.
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 have received reports indicating glitches and downtimes with Logpoint.
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.
Dealing with foreign entities for support was a challenge, leading us to switch providers due to lack of adequate support.
Logpoint needs to be cloud-native, as currently, it is not.
Over time, the licensing cost has increased.
Cribl is very inexpensive, with enterprise pricing around 30 cents per GB, which is really decent.
I rate the pricing at eight, suggesting it's relatively good or affordable.
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.
The UEBA enables us to monitor at the device level, and SOAR provides playbooks and templates that we can modify and incorporate into the platform.
It effectively facilitates logging and log storage and assists in security event management by ingesting security events.
Product | Market Share (%) |
---|---|
Cribl | 1.2% |
Logpoint | 0.9% |
Other | 97.9% |
Company Size | Count |
---|---|
Small Business | 9 |
Midsize Enterprise | 4 |
Large Enterprise | 8 |
Company Size | Count |
---|---|
Small Business | 17 |
Midsize Enterprise | 3 |
Large Enterprise | 4 |
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.
Logpoint is a cutting-edge security information and event management (SIEM) solution that is designed to be intuitive and flexible enough to be used by an array of different businesses. It is capable of expanding according to its users' needs.
Benefits of Logpoint
Some of the benefits of using Logpoint include:
Reviews from Real Users
Logpoint is a security and management solution that stands out among its competitors for a number of reasons. Two major ones are its data gathering and artificial intelligence (AI) capabilities. Logpoint enables users to not only gather the data, but also to maximize both the amount of data that can be gathered and its usefulness. It removes many of the challenges that users may face in data collection. The solution allows users to set rules for collection and then it pulls information from sources that meet the rules that have been set. This data is then broken into manageable segments and ordered. Users can then analyze these ordered segments with ease. Additionally, LogPoint utilizes both machine learning and AI technology. Users gain the ability to protect themselves from and if necessary resolve emerging threats as soon as they arise. The AI sets security parameters for a user’s system. These act as a baseline that are triggered and notify the user if anything deviates from the rules that it set up.
The chief infrastructure & security officer at a financial services firm writes, “It is a very comprehensive solution for gathering data. It has got a lot of capabilities for collecting logs from different systems. Logs are notoriously difficult to collect because they come in all formats. Logpoint has a very sophisticated mechanism for you to be able to connect to or listen to a system, get the data, and parse it. Logs come in text formats that are not easily parsed because all logs are not the same, but with Logpoint, you can define a policy for collecting the data. You can create a parser very quickly to get the logs into a structured mechanism so that you can analyze them.”
A. Secca., a Cyber Security Analyst at a transportation company, writes, “It is an AI technology because it is using machine learning technology. So far, there is nothing better out there for UEBA in terms of monitoring endpoints and user activity. It is using machine learning language, so it is right at the top. It provides that capability and monitors all of the user’s activities. It devises a baseline and monitors if there is any deviation from the baseline.”
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