Sumo Logic Security and Amazon OpenSearch Service compete in the domain of data analytics and security. Amazon OpenSearch Service appears to have the upper hand in analytics and search speed, while Sumo Logic Security offers notable customization and alert management.
Features: Sumo Logic Security equips users with real-time observability, customizable dashboards, and effective threat intelligence integration. Its robust query language enhances troubleshooting and alert management. Amazon OpenSearch Service focuses on fast and reliable search capabilities, handling large-scale data efficiently. It offers impressive business analytics integration, customizable dashboards, and rapid event data retrieval.
Room for Improvement: Sumo Logic Security could improve automation integration, template availability, and simplify query complexity. Users desire competitive pricing, API integration, and improved scalability. Amazon OpenSearch Service may benefit from enhanced configuration flexibility, visualization, and alerting customization. Cost reduction and better data handling capabilities are also suggested.
Ease of Deployment and Customer Service: Sumo Logic Security is praised for its effective Public Cloud deployment and responsive customer support, including dedicated account management. Amazon OpenSearch Service is deployed in the Public Cloud but lacks comprehensive user feedback on support quality. Sumo Logic receives recognition for its efficient problem resolution and proactive support.
Pricing and ROI: Sumo Logic Security’s pricing through AWS Marketplace is considered cost-effective, linked to data storage and scans, reflecting a favorable cost-to-functionality balance. While additional data may increase costs, it provides a notable ROI through reduced downtime and improved operations. Amazon OpenSearch Service’s pay-for-use model offers flexibility but can accumulate costs if idle, often seen as higher compared to self-managed solutions. Sumo Logic Security is viewed as having a better value proposition due to its tailored features and customer satisfaction.
| Product | Market Share (%) |
|---|---|
| Amazon OpenSearch Service | 2.8% |
| Sumo Logic Security | 0.6% |
| Other | 96.6% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 2 |
| Large Enterprise | 2 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 3 |
| Large Enterprise | 12 |
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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