

Snyk and Elastic Observability compete in the software development and monitoring space. Snyk holds an edge with its ease of use and comprehensive integration capabilities, while Elastic Observability offers extensive data source integration and customizable dashboards.
Features: Snyk is known for its self-service model, enabling seamless integrations with cloud CI systems and source control. It features accurate Slack notifications and a robust vulnerability database. Elastic Observability integrates diverse data sources into customizable dashboards, offering features for monitoring, alerting, and log analytics, which are especially beneficial in hybrid cloud environments. Snyk emphasizes vulnerability scanning and developer-centric tools, whereas Elastic provides a broader toolset for data correlation and analysis.
Room for Improvement: Snyk users desire advanced features like SAST or DAST, improved language support, and better integration capabilities. Some users have reported challenges with UI performance and feature set maturity. Elastic Observability could enhance its visualization tools, make its setup easier for non-technical users, and improve support for infrastructure monitoring and predictive analytics. Pricing models for small-scale users and a lack of out-of-the-box monitoring use cases are also noted concerns.
Ease of Deployment and Customer Service: Snyk offers public and private cloud deployment options, with technical support praised for its responsiveness. Elastic Observability is flexible in on-premises and hybrid environments, though its setup is sometimes seen as complex. Both products deliver reliable customer support, with Snyk users appreciating access to technical engineers and Elastic benefiting from strong documentation and community support.
Pricing and ROI: Snyk provides a flexible pricing model aimed at developers, though it's noted to be premium-priced with extra costs for services like SSO. Its ROI stems from reduced vulnerability management time. Elastic Observability is seen as more affordable than some competitors like Dynatrace, with licensing based on data and infrastructure metrics, though this model can be complex. It offers a cost-effective solution for large-scale users, delivering broad monitoring and observability capabilities.
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 can see that Snyk saves the costs of hiring security developers for vulnerability scanning and security checks, as that responsibility is now managed by Snyk.
Elastic support really struggles in complex situations to resolve issues.
Their excellent documentation typically helps me solve any issues I encounter.
Our long-standing association has ensured smooth communication, resulting in favorable support experiences and satisfactory issue resolution.
Their response time aligns with their SLA commitments.
We could understand the implementation of the product and other features without the need for human interaction.
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.
Snyk allows for scaling across large organizations, accommodating tens of thousands of applications and over 60,000 repositories.
Snyk is very scalable and can handle my organization's growth and changing needs.
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.
I would rate the stability of Elastic Observability as a ten, as we don't experience any issues.
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.
It lacks the ability to select branches on its Web UI, forcing users to rely on CLI or CI/CD for that functionality.
The inclusion of AI to remove false positives would be beneficial.
As we are moving toward GenAI, we expect Snyk to leverage AI features to improve code scanning findings.
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.
Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.
Snyk is recognized as the cheapest option we have evaluated.
After negotiations, we received a special package with a good price point.
Snyk is less expensive.
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.
Our integration of Snyk into GitHub allows us to automatically scan codebases and identify issues, which has improved efficiency.
Snyk helps detect vulnerabilities before code moves to production, allowing for integration with DevOps and providing a shift-left advantage by identifying and fixing bugs before deployment.
Snyk has positively impacted my organization by improving the security posture across all software repositories, resulting in fewer critical vulnerabilities, more confidence in overall product security, and faster security compliance for project clients.
| Product | Market Share (%) |
|---|---|
| Elastic Observability | 2.6% |
| Snyk | 1.0% |
| Other | 96.4% |


| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 21 |
| Midsize Enterprise | 9 |
| Large Enterprise | 21 |
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.
Snyk excels in integrating security within the development lifecycle, providing teams with an AI Trust Platform that combines speed with security efficiency, ensuring robust AI application development.
Snyk empowers developers with AI-ready engines offering broad coverage, accuracy, and speed essential for modern development. With AI-powered visibility and security, Snyk allows proactive threat prevention and swift threat remediation. The platform supports shifts toward LLM engineering and AI code analysis, enhancing security and development productivity. Snyk collaborates with GenAI coding assistants for improved productivity and AI application threat management. Platform extensibility supports evolving standards with API access and native integrations, ensuring comprehensive and seamless security embedding in development tools.
What are Snyk's standout features?Industries leverage Snyk for security in CI/CD pipelines by automating checks for dependency vulnerabilities and managing open-source licenses. Its Docker and Kubernetes scanning capabilities enhance container security, supporting a proactive security approach. Integrations with platforms like GitHub and Azure DevOps optimize implementation across diverse software environments.
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