Elastic Observability and Cribl are competitors in the data management and observability space. Elastic Observability appears to have the upper hand in offering an open-source platform with extensive integration capabilities, while Cribl is praised for efficient data processing and cost-effective log management.
Features: Elastic Observability excels in tracking performance metrics, providing access to logs quickly, and supporting custom development with its open-source model. Cribl offers real-time data transformation, simplifying log management and routing with its user-friendly approach, and delivers effective data processing that benefits organizations seeking affordable solutions.
Room for Improvement: Elastic Observability could enhance its automation and visualization of application metrics and expand its synthetic monitoring and APM capabilities. Cribl needs stronger integration options, better configuration documentation, and improved logging and debugging features. Both could improve scalability and comprehensive documentation to enrich user experience.
Ease of Deployment and Customer Service: Elastic Observability and Cribl provide flexible deployment options across various cloud environments, addressing diverse infrastructure needs. Elastic Observability is recognized for its responsive customer service with dedicated resources, while Cribl also receives positive support feedback, although Elastic's model provides a slight advantage in handling complex issues.
Pricing and ROI: Elastic Observability is cost-effective when utilizing its open-source aspects but may be priced higher for small-scale users, delivering significant ROI in terms of data availability and efficiency. Cribl offers competitive pricing, especially compared to enterprise-level tools like Splunk, providing substantial value due to its scalable model. Its pricing adjusts efficiently with increasing data volumes, balancing cost-effectiveness with high capacity handling.
The community, including the engineering and sales teams, is available on Slack and is very supportive.
Elastic Observability seems to have a good scale-out capability.
What is not scalable for us is not on Elastic's side.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Elastic Observability is really stable.
Perhaps more flexibility in terms of metrics would be helpful.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
One example is the inability to monitor very old databases with the newest version.
Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal.
The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
The community on Slack is excellent for solving questions and getting ideas.
The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
the most valued feature of Elastic is its log analytics capabilities.
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
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.
Elastic Observability is primarily used for monitoring login events, application performance, and infrastructure, supporting significant data volumes through features like log aggregation, centralized logging, and system metric analysis.
Elastic Observability employs Elastic APM for performance and latency analysis, significantly aiding business KPIs and technical stability. It is popular among users for system and server monitoring, capacity planning, cyber security, and managing data pipelines. With the integration of Kibana, it offers robust visualization, reporting, and incident response capabilities through rapid log searches while supporting machine learning and hybrid cloud environments.
What are Elastic Observability's key features?Companies in technology, finance, healthcare, and other industries implement Elastic Observability for tailored monitoring solutions. They find its integration with existing systems useful for maintaining operation efficiency and security, particularly valuing the visualization capabilities through Kibana to monitor KPIs and improve incident response times.
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