

Sumo Logic Security and Grafana Loki are two contenders in the security and data monitoring landscape. Users generally find Grafana Loki offers valuable features worthy of its price, positioning it as a superior product due to its comprehensive open-source capabilities and robust performance in handling logs compared to Sumo Logic Security.
Features: Sumo Logic Security provides advanced analytics, integrations with third-party tools, and support for various data sources for security monitoring. Grafana Loki focuses on log aggregation, visualization capabilities, and performance in Kubernetes environments.
Room for Improvement: Sumo Logic Security users suggest better data integration breadth, more user training support, and enhancements in analytics. Grafana Loki users recommend improvements in log querying, clearer documentation, and faster user-driven feature developments.
Ease of Deployment and Customer Service: Sumo Logic Security gets praise for straightforward deployment and responsive support, helping users in the deployment journey. Grafana Loki requires initial setup expertise, but has strong community support to complement deployment.
Pricing and ROI: Sumo Logic Security offers competitive pricing models with integration benefits for enterprises. Grafana Loki delivers high ROI with its minimal costs due to the open-source model, being recognized as cost-effective, though Sumo Logic's structured setup fits organizations needing extensive support.
Loki leads to significant cost savings by reducing server downtime and aiding engineers in prompt issue resolution.
We have not had to open any tickets yet, as we solve issues through forums and wikis.
I usually do not use official support; I typically rely on community blogs and forums for support of Grafana Loki.
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.
They have a response time of forty-eight hours, which is not instant support.
Loki offers great scalability, allowing us to manage and compress logs extensively.
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.
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.
Improvements could be made in the enablement of the product, addressing the complexity of implementing these tools.
It would be beneficial if Loki could directly access Windows Server logs or events directly from the servers.
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.
The correlation rules and log mapping are not as mature compared to other SIM tools like Splunk.
This is crucial to sell to the government and financial sectors as they require data retention within each country.
The cloud version is competitively priced compared to other market solutions.
Since it is an open source tool, there are no charges or fees.
This makes it more cost-effective because other solutions often include a third element in their pricing.
It provides a clear picture about the state of the system and gives needed information for taking action and quickly fixing problems.
Grafana Loki is notably cost-effective.
The most valuable part of Loki is the ability to filter logs by keywords and devices.
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.
If we cannot find the data in other tools, like email security or NDR, we can fetch those logs in the Log Analytics platform of Sumo Logic.
Sumo Logic Security offers a single dashboard and customization, which are the most valuable features.
| Product | Market Share (%) |
|---|---|
| Grafana Loki | 7.0% |
| Sumo Logic Security | 0.7% |
| Other | 92.3% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 8 |
| Large Enterprise | 4 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 3 |
| Large Enterprise | 13 |
Grafana Loki is a powerful log aggregation and analysis tool designed for cloud-native environments. Its primary use case is to collect, store, and search logs efficiently, enabling organizations to gain valuable insights from their log data.
The most valuable functionality of Loki is its ability to scale horizontally, making it suitable for high-volume log data. It achieves this by utilizing a unique indexing approach called "Promtail," which efficiently indexes logs and allows for fast searching and filtering. Loki also supports log streaming in real-time, ensuring that organizations can monitor and analyze logs as they are generated.
By centralizing logs in a single location, Loki simplifies log management and troubleshooting processes. It provides a unified view of logs from various sources, making it easier to identify and resolve issues quickly. With its powerful query language, organizations can extract meaningful information from logs, enabling them to gain insights into system performance, identify anomalies, and detect potential security threats.
Loki's integration with Grafana, a popular open-source visualization tool, allows users to create rich dashboards and visualizations based on log data. This combination enhances the observability of systems and applications, enabling organizations to make data-driven decisions and improve overall operational efficiency.
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.
We monitor all Log Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.