IDERA Precise and Amazon OpenSearch Service compete in data monitoring and search analytics. Amazon OpenSearch Service appears to have the upper hand due to its scalability, integration with AWS, and advanced features in data search and analytics.
Features: IDERA Precise provides performance monitoring, root cause analysis, and detailed database insights for issue resolution. Amazon OpenSearch Service offers search analytics, log management, and AWS integration for comprehensive analysis.
Ease of Deployment and Customer Service: Amazon OpenSearch Service streamlines deployment within AWS, offering benefits for AWS users. IDERA Precise requires detailed setup but provides robust customer support for deployment guidance.
Pricing and ROI: IDERA Precise offers affordable setup costs, providing value in database management. Amazon OpenSearch Service, while potentially more expensive, provides significant ROI due to robust AWS integration and feature set.
| Product | Market Share (%) |
|---|---|
| Amazon OpenSearch Service | 1.6% |
| IDERA Precise | 0.6% |
| Other | 97.8% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 2 |
| Large Enterprise | 2 |
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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