

CA App Synthetic Monitor and Amazon OpenSearch Service compete in monitoring and search analytics. Amazon OpenSearch Service is perceived as superior for its extensive feature set.
Features: CA App Synthetic Monitor provides continuous monitoring, real-time insights into application performance, and ensures high availability. Amazon OpenSearch Service offers advanced search capabilities, real-time data processing, and visualization of large data sets.
Ease of Deployment and Customer Service: CA App Synthetic Monitor offers a straightforward deployment process with comprehensive support. Amazon OpenSearch Service integrates well within Amazon Web Services, benefiting from AWS's scalability, though its support is typical of AWS products.
Pricing and ROI: CA App Synthetic Monitor is competitively priced, offering high ROI by enhancing application uptime. Amazon OpenSearch Service requires a larger initial investment but provides strong ROI in data-intensive environments.
| Product | Market Share (%) |
|---|---|
| Amazon OpenSearch Service | 1.6% |
| CA App Synthetic Monitor | 0.5% |
| Other | 97.9% |

| 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.
IT organizations require full visibility into business-critical applications regardless of where they're hosted in order to maintain service levels and proactively deal with issues before the end-user is impacted. CA App Synthetic Monitor uses synthetic transactions to provide performance insight for these applications no matter where they're hosted: outside the firewall, in the cloud or delivered via a managed service provider (MSP). Delivered as software as a service, CA App Synthetic Monitor provides end-to-end transaction response time visibility into cloud, mobile and traditional web applications using synthetic transactions delivered by a network of 95 monitoring stations across six continents, 48 countries, 93 cities and 15 time zones.
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