

Microsoft Purview Audit and Amazon OpenSearch Service compete in enterprise data management. While Microsoft Purview Audit is cost-effective and well-supported, Amazon OpenSearch Service offers extensive features, providing greater value for complex data applications.
Features: Microsoft Purview Audit focuses on compliance auditing, ensuring data integrity, and providing robust data insights. Amazon OpenSearch Service excels in data indexing, advanced analysis, and visualization, offering a comprehensive search and analytics solution.
Ease of Deployment and Customer Service: Microsoft Purview Audit integrates seamlessly within the Microsoft ecosystem, simplifying deployment and taking advantage of Microsoft's customer support. Amazon OpenSearch Service provides a scalable deployment model with detailed documentation and support tailored for AWS environments, catering to complex systems.
Pricing and ROI: Microsoft Purview Audit is generally affordable, balancing cost and value, with a steady ROI for compliance-focused enterprises. Amazon OpenSearch Service has a variable pricing model, offering high returns for businesses that leverage its full capabilities, reflecting its expansive features and potential higher ROI in data-heavy applications.
| Product | Market Share (%) |
|---|---|
| Amazon OpenSearch Service | 2.4% |
| Microsoft Purview Audit | 0.7% |
| Other | 96.9% |

| 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.
The unified auditing functionality in Microsoft 365 provides organizations with visibility into many types of audited activities across many different services in Microsoft 365. Advanced Audit helps organizations to conduct forensic and compliance investigations by increasing audit log retention required to conduct an investigation, providing access to crucial events that help determine scope of compromise, and faster access to Office 365 Management Activity API.
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