

Coralogix and Elastic Observability are leading solutions in data observability. Coralogix has the upper hand in terms of user satisfaction with its pricing and support, while Elastic Observability is preferred for its comprehensive features and perceived high value.
Features: Coralogix offers automated data clustering, alerting capabilities, and streamlined monitoring. Elastic Observability provides robust searching, multiple data source integration, and extensive features for users with diverse needs.
Room for Improvement: Coralogix could improve its visualization tools, onboarding process, and user interface. Elastic Observability needs better documentation, more seamless integrations, and enhanced user experience.
Ease of Deployment and Customer Service: Coralogix has a straightforward deployment model with minimal setup time and responsive customer service. Elastic Observability, although more complex to deploy, offers extensive customization options and supportive service.
Pricing and ROI: Coralogix is noted for competitive setup costs and a favorable return on investment. Elastic Observability, though more expensive initially, has a scalable pricing model and long-term ROI that justifies its higher cost.
Previously one to two hours were required to resolve major issues. Now it takes around ten to twenty minutes, representing approximately a sixty to seventy percent reduction in resolution time.
I have seen a return on investment with Coralogix, particularly in terms of time saved.
I see a return on investment in time saving.
Elastic Observability has saved us time as it's much easier to find relevant pieces across the system in one screen compared to our own software, and it has saved resources too since the same resources can use less time.
I am satisfied with their response time and overall competence.
The support team has good technical knowledge and is able to understand log-related monitoring issues without much back and forth.
They are helpful, especially when we created several custom dashboards.
Elastic support really struggles in complex situations to resolve issues.
Their excellent documentation typically helps me solve any issues I encounter.
As our system usage and log volume increased, Coralogix was able to handle the growth without requiring any major changes from our side.
We have never faced any scalability issues.
Handling scaling with Coralogix is good, as it is easy to scale up or down as my needs change.
I rate the scalability of Elastic Observability as a ten, as we have never seen issues even with a lot of data coming in from more customers, provided we have the appropriate configuration.
Elastic Observability seems to have a good scale-out capability.
Elastic Observability is easy in deployment in general for small scale, but when you deploy it at a really large scale, the complexity comes with the customizations.
There are no downtimes, no crashes, or any performance issues that I've noticed since we started using it.
We use it continuously for monitoring and troubleshooting, and we have not faced any major stability issues that impacted our work significantly.
High CPU usage on one pod can be averaged out by others, concealing potential issues.
There are some bugs that come with each release, but they are keen always to build major versions and minor versions on time, including the CVE vulnerabilities to fix it.
I would rate the stability of Elastic Observability as a ten, as we don't experience any issues.
Elastic Observability is really stable.
Coralogix already provides strong capabilities for centralized logging and monitoring, but enhancing these areas would make it even more efficient for large-scale environments in our telecom servers.
We require some form of grouping or categorization of logs to identify them better.
Coralogix should have some AI capabilities to auto-detect anomalies and provide suggestions.
For instance, if you have many error logs and want to create a rule with a custom query, such as triggering an alert for five errors in the last hour, all you need to do is open the AI bot, type this question, and it generates an Elastic query for you to use in your alert rules.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
Some areas such as AI Ops still require data scientists to understand machine learning and AI, and it doesn't have a quick win with no-brainer use cases.
Despite the expense, I believe it is worth the money to have Coralogix as a tool.
Currently, we are at a very minimal cost, which is around $400 per month since we have reduced our usage.
It is charged based on what we store.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.
Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable metrics such as number of users or amount of data.
I can monitor Kubernetes or Docker platforms as well, and I can integrate with the DevOps chain including Jenkins and all infrastructure code, Terraform, or Ansible.
Coralogix has positively impacted our organization by providing us with a clearer data flow, which allows us to analyze data better and find errors easier using the smart logs it offers.
Out of real-time analytics, cost-efficient storage, and AI-powered insights, the most valuable for my team has been the cost-efficient storage.
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.
Every integration, whether for Windows or Linux or even Palo Alto or Fortinet, installs the out-of-the-box dashboards along with it, making it easy to parse incoming data meaningfully and immediately start viewing dashboards to see what's happening in the platform.
| Product | Mindshare (%) |
|---|---|
| Elastic Observability | 1.5% |
| Coralogix | 1.0% |
| Other | 97.5% |


| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 7 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
Coralogix provides a robust platform for real-time logging and analysis, offering seamless integration with cloud services and DevOps tools to enhance visibility and error detection.
Coralogix is recognized for facilitating efficient log management through intuitive drill-down capabilities and AI-powered anomaly detection. Its platform supports smooth integration with multiple cloud providers and DevOps tools, focusing on ease of use and effective data migration. Users benefit from rich visualization options like dashboards and alerts that accelerate error detection and root cause analysis. Despite its strengths, there is a call for improvements in cost management, user-friendliness, and the expansion of AI features. Users are also requesting better customization, integrated modules, and support for processing large data volumes.
What are Coralogix's standout features?Industries utilize Coralogix for log monitoring and metrics analysis, aiding in debugging, error detection, and performance monitoring with tools like Grafana. Organizations manage cloud application logs, identify system failures, and conduct real-time root cause analysis. Coralogix supports secure data handling, enhancing infrastructure, and transaction management for efficient developer access and log analysis.
Elastic Observability is known for its powerful search capabilities, central logging, and integration with cloud-native tasks. It enhances monitoring for applications and systems through its flexibility and machine learning features.
Elastic Observability is a robust tool offering end-to-end monitoring and performance analysis, widely utilized for application performance monitoring, centralized logging, and metrics collection. Kibana enables data visualization and connection of sources, while the platform aids in incident response with real-time insights. Despite its complex learning curve, limited customization, and licensing challenges, it remains valuable for businesses seeking to improve operational efficiency with additional support from log analytics and system automation.
What are the key features of Elastic Observability?A wide range of industries apply Elastic Observability for its capabilities in capturing significant data points to offer insights into business and technical performance. Its applications span log events, application monitoring, network protocol monitoring, and more, aiding in data-driven decision-making processes within sectors like IT, finance, and e-commerce.
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