

IDERA Precise and Amazon OpenSearch Service compete in performance monitoring and search analytics, respectively. Amazon OpenSearch Service seems to have a competitive edge due to its advanced analytics capabilities and scalability, appealing to users despite higher pricing.
Features: IDERA Precise provides detailed database performance monitoring, anomaly detection, and real-time analytics, focusing on SQL performance. Amazon OpenSearch Service offers comprehensive log and trace analytics, real-time data insights, and flexibility for integration with AWS tools.
Ease of Deployment and Customer Service: IDERA Precise provides straightforward deployment with supportive customer guidance for database-centric environments. Amazon OpenSearch Service provides seamless integration with AWS systems, benefiting from AWS support, making it accessible for cloud-native environments.
Pricing and ROI: IDERA Precise involves higher setup costs but offers significant ROI for deep database performance insights. Amazon OpenSearch Service features a pay-as-you-go model, which can be cost-intensive but yields strong ROI through comprehensive analytics.
| Product | Market Share (%) |
|---|---|
| Amazon OpenSearch Service | 1.5% |
| IDERA Precise | 0.6% |
| Other | 97.9% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 2 |
| Large Enterprise | 3 |
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.
Precise for Databases helps database administrators to find and fix database performance problems in physical, virtual, and cloud environments. Unlike its competition, it provides deep database optimization, isolation of problems and causes, scalable deployment, what-if analysis for changes, and history, trending, and planning.
Precise for Applications helps IT administrators to find and fix application performance problems in physical, virtual, and cloud environments. Unlike its competition, it provides deep database optimization, end-to-end transaction view, isolation of problems and causes, scalable deployment, what-if analysis for changes, and history, trending, and planning.
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