

Sumo Logic Security and Amazon OpenSearch Service compete in log management and security monitoring. OpenSearch seems to have the upper hand due to its robust features and scalability, though Sumo Logic's pricing and support are positively remarked.
Features: Sumo Logic Security offers diverse log sources, real-time observability, and customizable alerts. It is known for its ease of use, stability, and straightforward integrations. Amazon OpenSearch Service provides powerful search capabilities with OpenSearch dashboards, supports scalability, and allows for historical data retrieval. Fast indexing and strong business analytics enhance its appeal.
Room for Improvement: Sumo Logic users desire better automation integration, intuitive interfaces for alerts, and improved API integration. They also seek competitive pricing and advanced reporting features. Amazon OpenSearch Service users express the need for enhanced data visualization, more built-in alerts, and auto-scaling. Its managed nature limits configurations, and cost-effectiveness during idle times is a concern.
Ease of Deployment and Customer Service: Sumo Logic supports public, private, and hybrid cloud deployments and is praised for responsive customer support despite some feedback about delays. Amazon OpenSearch Service is available for public cloud deployments, with users requesting improved documentation and user-friendly interfaces. Both services boast good technical support, yet Sumo Logic's engagement is frequently highlighted.
Pricing and ROI: Sumo Logic through AWS Marketplace offers a scalable pricing model considered fair but sometimes perceived as expensive with increasing data storage. ROI benefits include reduced downtime and operational improvements. Amazon OpenSearch's pricing is seen as costly during idle phases yet its scalability and reduced labor costs associated with managed services contribute to its value. The solution's ability to save on infrastructure management adds to its perceived worth.
| Product | Market Share (%) |
|---|---|
| Amazon OpenSearch Service | 2.2% |
| Sumo Logic Security | 0.9% |
| Other | 96.9% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 2 |
| Large Enterprise | 3 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 4 |
| Large Enterprise | 13 |
Amazon OpenSearch Service provides scalable and reliable search capabilities with efficient data processing, supporting easy domain configuration and integration with numerous systems for enhanced performance.
Amazon OpenSearch Service offers advanced features for handling JSON, diverse search grammars, quick historical data retrieval, and ultra-warm storage. It also includes customizable dashboards and seamless tool integration for large enterprises. With its managed infrastructure, OpenSearch Service supports efficient system analysis and business analytics, improving overall performance and flexibility. Despite these features, areas like configuration complexity, lack of auto-scaling, and integration with Kibana require attention. Users seek enhanced documentation, better pricing options, and more flexible data handling. Desired improvements include default filters, mapping configuration, and alerting capabilities. Enhanced data visualization and Compute Optimizer Service integration are also recommended for future updates.
What features define Amazon OpenSearch Service?Amazon OpenSearch Service is utilized in various industries for log management, data storage, and search capabilities. It supports infrastructure and embedded management, analyzing logs from AWS Lambda, Kubernetes, and other services. Companies use it for application debugging, monitoring security and performance, and customer behavior analysis, integrating it with tools like DynamoDB and Snowflake for a cost-effective solution.
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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