Cross-Enterprise Application Performance Management and Amazon OpenSearch Service compete in enterprise application management and search. Amazon OpenSearch Service seems to have the upper hand due to its cost-effectiveness and scalability advantages.
Features: Cross-Enterprise Application Performance Management provides extensive diagnostic capabilities, integration with existing enterprise software, and comprehensive monitoring functions. Amazon OpenSearch Service offers powerful search and analytics capabilities, advanced machine learning features for data analysis, and robust scalability.
Ease of Deployment and Customer Service: Amazon OpenSearch Service supports a seamless cloud-based deployment model, ensuring quick setup with reliable support. Cross-Enterprise Application Performance Management requires an on-premise setup but provides thorough customer service that supports complex installations.
Pricing and ROI: Cross-Enterprise Application Performance Management involves higher initial setup costs with a focus on substantial ROI through its features and support. Amazon OpenSearch Service provides a flexible, usage-based pricing structure, offering predictable costs directly aligned with usage, which presents a lower barrier to entry.
| Product | Market Share (%) |
|---|---|
| Amazon OpenSearch Service | 2.0% |
| Cross-Enterprise Application Performance Management | 0.2% |
| 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.
CA Cross-Enterprise APM provides 24/7 monitoring of business transactions for complex application environments by monitoring the real-time performance of mainframe subsystems and providing CA Application Performance Management with this data on a single pane of glass.
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