Logz.io and Elastic Observability are two leading products competing in the observability space. Elastic Observability seems to have the upper hand due to its robust capabilities and perceived value, offering deeper insights and versatility.
Features: Logz.io offers seamless integration, real-time alerts, and a user-friendly interface, which are its notable strengths. Elastic Observability is favored for comprehensive data ingestion, powerful analytics capabilities, and versatility, allowing users to gain detailed insights.
Room for Improvement: Logz.io requires enhancements in customization options and addressing user needs for more flexibility. Elastic Observability can improve in scaling, ensuring better documentation quality, and reducing complexity.
Ease of Deployment and Customer Service: Logz.io is praised for smooth deployment and responsive customer support, enabling quick start and effective assistance. Elastic Observability, with its advanced features, may need additional configuration yet benefits from extensive support and community resources.
Pricing and ROI: Logz.io is viewed as cost-effective with substantial ROI and lower initial setup costs. Elastic Observability may be pricier but justifies the investment with its vast feature set, offering value for users needing extensive functionality.
Elastic support really struggles in complex situations to resolve issues.
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.
What is not scalable for us is not on Elastic's side.
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.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Elastic Observability is really stable.
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.
They don't invest a lot in building out-of-the-box observable use cases, and they are more focusing on giving a very flexible environment for customization.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
This is a part of the hidden cost that the customer understands.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
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.
the most valued feature of Elastic is its log analytics capabilities.
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.
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
| Product | Market Share (%) |
|---|---|
| Elastic Observability | 1.3% |
| Logz.io | 0.5% |
| Other | 98.2% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 1 |
| Large Enterprise | 7 |
Elastic Observability offers a comprehensive suite for log analytics, application performance monitoring, and machine learning. It integrates seamlessly with platforms like Teams and Slack, enhancing data visualization and scalability for real-time insights.
Elastic Observability is designed to support production environments with features like logging, data collection, and infrastructure tracking. Centralized logging and powerful search functionalities make incident response and performance tracking efficient. Elastic APM and Kibana facilitate detailed data visualization, promoting rapid troubleshooting and effective system performance analysis. Integrated services and extensive connectivity options enhance its role in business and technical decision-making by providing actionable data insights.
What are the most important features of Elastic Observability?Elastic Observability is employed across industries for critical operations, such as in finance for transaction monitoring, in healthcare for secure data management, and in technology for optimizing application performance. Its data-driven approach aids efficient event tracing, supporting diverse industry requirements.
Logz.io is a leading cloud-native observability platform that enables engineers to use the best open source tools in the market without the complexity of operating, managing, and scaling them. Logz.io offers four products: Log Management built on ELK, Infrastructure Monitoring based on Prometheus, Distributed Tracing based on Jaeger, and an ELK-based Cloud SIEM. These are offered as fully managed, integrated cloud services designed to help engineers monitor, troubleshoot and secure their distributed cloud workloads more effectively. Engineering driven companies like Siemens, Unity and ZipRecruiter use Logz.io to simplify monitoring and security workflows, increasing developer productivity, reducing time to resolve issues, and increasing the performance and security of their mission-critical applications.
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