

Sumo Logic Security and Elastic Observability compete in monitoring and security analytics. Elastic Observability seems to have the upper hand due to its comprehensive feature set and cost-effectiveness.
Features: Sumo Logic Security offers advanced threat detection, streamlined alerts management, and intuitive design. Elastic Observability features customizable dashboards, real-time analytics, and extensive integrations.
Room for Improvement: Sumo Logic Security could improve scalability, third-party tool integration, and infrastructure flexibility. Elastic Observability needs a simpler setup process, reduced resource intensity, and accessibility for less sophisticated users.
Ease of Deployment and Customer Service: Sumo Logic Security is known for quick deployment and dependable service. Elastic Observability might need specialist knowledge for deployment but benefits from extensive community support.
Pricing and ROI: Sumo Logic Security is priced slightly higher, offering substantial ROI through immediate value and strong support. Elastic Observability's pricing is more competitive, focusing on long-term ROI with comprehensive features.
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.
We have saved 64 hours of our time overall.
The return on investment I have seen with Sumo Logic Security in the past year and a half is tough to quantify, but I would estimate it has hit the milestones we set internally for return on investment.
Elastic support really struggles in complex situations to resolve issues.
Their excellent documentation typically helps me solve any issues I encounter.
They have a response time of forty-eight hours, which is not instant support.
In general, they usually provide continuous support post-implementation, being in touch and trying to help, which makes their after-sale process better than Splunk.
Sumo Logic Security has really good customer support.
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.
Sumo Logic Security scales up automatically because it is a cloud-native SIEM, and I do not need to worry about hardware clusters or capacity planning.
The tool has high scalability because everything is based in the cloud.
I did not face any significant issues with Sumo Logic Security, but the pricing may be a concern as they try to upsell and raise the prices very quickly.
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.
If there are many records, the system may stop or the UI may become unresponsive.
The query language is pretty straightforward and easy, and it is very powerful for building different searches and dashboards that will serve for later exploration of the same interests I have.
It operates very well as a cloud-native SaaS platform with high availability, and there is no downtime that I have experienced.
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.
This can lead to alerts that are collections of disjointed signals that sometimes make no sense and lack real context; this simplistic approach makes it hard to find coherent stories during investigations.
I would also appreciate the AWS automation integrations to be more secure because currently, they are using access keys, which involves a user rather than roles, which is the security best practice recommended by AWS.
The correlation rules and log mapping are not as mature compared to other SIM tools like Splunk.
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.
This makes it more cost-effective because other solutions often include a third element in their pricing.
From one to ten, where one is cheap and ten is expensive, I would put Sumo Logic Security at a seven.
If you go to the well-known vendors such as Azure Sentinel or other tools like Splunk, you are going to find them costly since they are well-known and they have much more integration compared to Sumo Logic Security.
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.
The features I find most useful in Sumo Logic Security are the ease of implementation and connectors; they have a very easy connection and many connectors to important systems, making it very easy to implement and fast to start running in production.
They are able to save time on fewer alerts because we are able to perform tuning on the logs to be able to only get relevant or security relevant incidents.
My SOC analysts were crushed under Splunk, but Sumo has actually eased the workload and made it tolerable for three people.
| Product | Mindshare (%) |
|---|---|
| Elastic Observability | 1.3% |
| Sumo Logic Security | 1.1% |
| Other | 97.6% |

| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 5 |
| Large Enterprise | 14 |
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.
Sumo Logic
Sumo Logic is a cloud-based machine data analytics company focusing on security, operations, and BI use cases. It provides log management and analytics services that leverage machine-generated big data to deliver real-time IT insights.
Sumo Logic is developed as a SaaS solution, it processes and analyzes large quantities of IT infrastructure data, spotting patterns and anomalies that can indicate a potential threat or significant event.
The platform is designed to help IT, security, and business operations teams develop, manage, and secure their applications and cloud infrastructures. It collects, aggregates, and analyzes data from various sources including servers, virtual machines, and network devices, providing visibility into complex systems.
What are the key features of Sumo Logic?
Real-time Analytics: Continuous queries and live dashboards that provide insights into application performance, user behavior, and security threats.
Advanced Machine Learning: Utilizes machine learning algorithms to identify trends, anomalies, and patterns.
Integrated Threat Intelligence: Tools and workflows to enhance security postures by detecting threats and anomalies.
Multi-tenant Cloud Service: Allows users to operate in a shared cloud environment securely.
The solution aims to simplify data complexity, streamline operations, and provide actionable insights to businesses across various industries.
Sumo Logic is designed to handle high data volumes from multiple sources without diminishing performance. It is primarily deployed in the cloud with seamless integrations for AWS, Google Cloud, and Microsoft Azure. This flexibility allows users to leverage Sumo Logic’s capabilities regardless of their existing cloud infrastructure.
In summary, Sumo Logic is a comprehensive, AI-driven analytics solution ideal for businesses looking to enhance their IT and security operations through data-driven insights and real-time monitoring. Its flexible deployment options and scalable pricing model make it accessible for various business sizes and sectors.
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