

Cross-Enterprise Application Performance Management and Amazon OpenSearch Service are competing in application performance monitoring and data search analytics. Amazon OpenSearch Service has the upper hand with superior features that many tech buyers find worth the investment.
Features: Cross-Enterprise Application Performance Management provides advanced monitoring capabilities, seamless integration, and detailed analytics. Amazon OpenSearch Service offers powerful search capabilities, scalability, and robust real-time data processing. The key difference is Cross-Enterprise focuses more on application performance, while OpenSearch Service emphasizes search and data analytics.
Ease of Deployment and Customer Service: Amazon OpenSearch Service offers flexible deployment with extensive documentation and strong support. Cross-Enterprise Application Performance Management provides a straightforward deployment process and is noted for its hands-on customer service. The primary distinction lies in Amazon OpenSearch’s flexibility and resources compared to Cross-Enterprise’s personalized support approach.
Pricing and ROI: Cross-Enterprise Application Performance Management has a competitive setup cost with strong ROI due to effective application performance insights. Amazon OpenSearch Service offers significant ROI with a pay-as-you-go model but comes with a potentially higher initial investment. The difference is Cross-Enterprise provides cost-efficiency in application monitoring, while OpenSearch Service delivers value through comprehensive analytics despite higher upfront costs.
| Product | Market Share (%) |
|---|---|
| Amazon OpenSearch Service | 1.6% |
| Cross-Enterprise Application Performance Management | 0.4% |
| Other | 98.0% |


| Company Size | Count |
|---|---|
| Small Business | 8 |
| 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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