Sumo Logic Security and Amazon CloudWatch compete in monitoring and security services. User reviews lean towards Amazon CloudWatch for its robust features, despite higher costs, giving it the upper hand.
Features: Sumo Logic Security offers real-time threat detection, analytics capabilities, and integration with multiple platforms. Amazon CloudWatch provides comprehensive monitoring, scalability, and automation with detailed metrics for enhanced visibility. While CloudWatch is noted for scalability, Sumo Logic emphasizes advanced analytics.
Room for Improvement: Sumo Logic Security users want better data storage options, improved customization, and a more intuitive interface. Amazon CloudWatch users desire better third-party integration support, a simplified learning curve, and more accessible configuration processes.
Ease of Deployment and Customer Service: Sumo Logic Security is known for straightforward deployment and commendable support. Amazon CloudWatch offers robust customer service but is complex to deploy due to extensive configuration requirements. CloudWatch demands a steeper learning curve but makes up for it with superior support.
Pricing and ROI: Sumo Logic Security is recognized for its reasonable cost and satisfactory ROI. Amazon CloudWatch is more costly but is valued for its extensive features and effectiveness, offering a justifiable price point for many users. Sumo Logic presents cost-effective solutions, while CloudWatch focuses on delivering feature-rich options.
They have a response time of forty-eight hours, which is not instant support.
If there are many records, the system may stop or the UI may become unresponsive.
Maybe Amazon Web Services can improve by providing a library for CloudWatch with some useful features.
The correlation rules and log mapping are not as mature compared to other SIM tools like Splunk.
I like its filtering capability and its ability to give the cyber engine insights.
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.
Amazon CloudWatch is used for monitoring, tracking logs, and organizing metrics across AWS services. It detects anomalies, sets dynamic alarms, and automates actions to optimize cloud utilization, troubleshoot, and ensure service availability.
Organizations leverage Amazon CloudWatch for collecting and analyzing logs, triggering alerts, and profiling application performance. It's also employed for monitoring bandwidth, virtual machines, Lambda functions, and Kubernetes clusters. Valuable features include seamless integration with AWS, real-time data and alerts, detailed metrics, and a user-friendly interface. It provides robust monitoring capabilities for infrastructure and application performance, log aggregation, and analytics. Users appreciate its scalability, ease of setup, and affordability. Additional key aspects are the ability to create alarms, dashboards, and automated responses, along with detailed insights into system and application health. Room for improvement includes dashboards and UI enhancements for better visualization and customizability, log streaming speed, advanced machine learning and reporting capabilities, pricing, and integration with non-AWS services and databases. Users also seek more real-time monitoring and comprehensive application performance features, and simpler alerts and configuration processes.
What are the most important features?
What benefits and ROI can users expect?
Amazon CloudWatch is implemented across a range of industries, including technology, finance, healthcare, and retail. Technology firms use it to monitor application performance and traffic, while financial organizations leverage it for ensuring compliance and system reliability. Healthcare entities rely on it for maintaining service availability and monitoring data flow, and retail companies utilize it for tracking customer interactions and optimizing server usage.
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.