

Devo and Amazon OpenSearch Service compete in the data analytics and search solutions arena. Devo has the upper hand due to its comprehensive data visualization tools and real-time analytics capabilities.
Features: Devo is valued for its Activeboards, seamless integration across data sources, and real-time analytics. It offers flexible queries, a modular approach to data management, and CyberChef integration. Amazon OpenSearch Service excels in efficient search capabilities, scalability for multi-terabyte data, and integrated dashboards that support error monitoring.
Room for Improvement: Devo users have reported browser issues with large datasets and suggested enhancements in visual analytics and parsing logs. They also pointed out concerns about pricing-related metadata charges. For Amazon OpenSearch Service, users seek easier configuration, improved data management, and better customization within the managed service. Pricing during idle times and handling large data volumes is also a concern.
Ease of Deployment and Customer Service: Devo provides various deployment options, including private and hybrid clouds, with generally positive customer support feedback. Users highlight its responsive and customer-focused support. Amazon OpenSearch Service offers public cloud deployment with average customer support, needing improvements in technical support and documentation.
Pricing and ROI: Devo's pricing model, based on data ingestion, is considered competitive and transparent, though unexpected metadata charges can increase costs. Users report a quicker ROI due to operational efficiencies. Amazon OpenSearch Service, while flexible in pay-per-use, is seen as expensive, especially for large datasets, with extra costs during idle times. Managed services are also pricier compared to self-hosting.
| Product | Market Share (%) |
|---|---|
| Amazon OpenSearch Service | 2.4% |
| Devo | 0.8% |
| Other | 96.8% |

| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 2 |
| Large Enterprise | 2 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 4 |
| Large Enterprise | 11 |
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.
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.