Workspace ONE Intelligence and Amazon OpenSearch Service are competing products in data analytics and management. Amazon OpenSearch Service appears to have the upper hand in handling large-scale data needs due to its scalability and complex data operation capabilities.
Features: Workspace ONE Intelligence includes real-time analytics, automation capabilities, and seamless integration with the VMware ecosystem. Amazon OpenSearch Service offers distributed search, real-time analytics, and domain clustering for scalability and complexity in data handling.
Ease of Deployment and Customer Service: Workspace ONE Intelligence offers straightforward deployment with VMware integration and direct support. Amazon OpenSearch Service requires complex configurations but provides extensive documentation and a large support community.
Pricing and ROI: Workspace ONE Intelligence has a predictable cost structure aligned with VMware services, offering ROI through productivity and security insights. Amazon OpenSearch Service's pricing varies with resource consumption, providing ROI through efficient processing of large data sets, justifying higher initial investment for substantial data processing needs.
| Product | Market Share (%) |
|---|---|
| Amazon OpenSearch Service | 2.0% |
| Workspace ONE Intelligence | 0.3% |
| Other | 97.7% |
| 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.
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