LogPoint and Cribl compete in the log management and data processing industry. Cribl appears to have the upper hand due to its real-time log management and flexible cloud-based deployment options.
Features: LogPoint offers a robust set of features like fast log collection, user-friendly dashboards, and a sophisticated mechanism for gathering logs from various systems. It also seamlessly integrates UEBA and SOAR functionalities within a single platform. Cribl stands out with real-time log transformation, reduction, and management, providing functionalities like data routing and intelligent data processing. Its cloud-based model enhances flexibility and responsiveness.
Room for Improvement: LogPoint could enhance integration with third-party solutions, improve user-friendliness for advanced features, and offer better options for custom dashboards. Cribl needs to improve documentation, expand support for legacy systems, and enhance its user interface and versioning system. Its historical data handling capabilities could be more robust.
Ease of Deployment and Customer Service: LogPoint primarily supports on-premises setups but also allows for hybrid deployments. Cribl offers greater flexibility with both on-premises and public cloud options. LogPoint's customer support excels in quick initial responses, while Cribl's customer engagement could improve due to varying response times and support staff capabilities.
Pricing and ROI: LogPoint provides mid-range fixed pricing based on the number of devices, making it budget-friendly for organizations like NGOs seeking discounts. While effective, additional modules incur extra costs. Cribl positions itself as more budget-friendly than competitors such as Splunk, offering good value in scalability and efficiency. Cribl's credit-based billing allows flexibility for organizations with varying data needs, significantly reducing log management costs and providing good ROI.
The community, including the engineering and sales teams, is available on Slack and is very supportive.
The technical support for Logpoint is very good, and I would rate it as nine out of ten.
Logpoint's customer support is not sufficient with only one engineer in the US.
It is web-based and accommodates the expansion of our organization.
Logpoint is scalable and capable of expanding.
I have received reports indicating glitches and downtimes with Logpoint.
Perhaps more flexibility in terms of metrics would be helpful.
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.
I rate the pricing at eight, suggesting it's relatively good or affordable.
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.
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.
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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