Devo and Amazon OpenSearch Service compete in the data analytics and search functionalities category. Devo seems to have the upper hand due to its advanced visualization tools and real-time analytics.
Features: Devo's Activeboards offer ease in data visualization and querying across multiple sources, providing agility for forensic analysis. It features real-time analytics and high-speed query capabilities. Amazon OpenSearch Service, on the other hand, focuses on scalable analytics and supports multiple use cases but lacks the advanced visualization tools of Devo, emphasizing reliable search results and analytics capabilities.
Room for Improvement: Devo faces challenges with browser-based operations during extensive searches, along with limited customization in Activeboards' visual aesthetics and log parsing capabilities. Amazon OpenSearch Service could benefit from enhanced data handling, configuration flexibility, auto-scaling features, and better integration with Kibana while refining its pricing models.
Ease of Deployment and Customer Service: Devo offers deployment across public, private, and hybrid clouds with positive feedback on tech support, despite some transparency issues. Amazon OpenSearch Service relies on public cloud solutions, with average technical support and slow response times, necessitating improvements in documentation and problem escalation processes.
Pricing and ROI: Devo's model charges based on data ingestion, offering clear pricing but potential extra charges for metadata. Users find value in its long-term data storage and features, realizing significant ROI. Amazon OpenSearch Service is seen as costlier, especially for large data volumes, with its pay-as-you-go model posing unexpected charges, though it offers scalability and reduced management overhead.
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.
Devo is the only cloud-native logging and security analytics platform that releases the full potential of all your data to empower bold, confident action when it matters most. Only the Devo platform delivers the powerful combination of real-time visibility, high-performance analytics, scalability, multitenancy, and low TCO crucial for monitoring and securing business operations as enterprises accelerate their shift to the cloud.
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