

ArcSight Logger and Amazon OpenSearch Service are competitive solutions in log data management and analysis. Amazon OpenSearch leads with its cloud-based deployment and scalability.
Features: ArcSight Logger excels in scalability, real-time correlation, and effective search functionalities. It is known for flexible log collecting options. Amazon OpenSearch Service stands out with its ease of use, powerful search capabilities, excellent integration within the AWS ecosystem, and impressive scalability without downtime.
Room for Improvement: ArcSight Logger needs enhancements in threat analytics, ease of use, and search function speed. It also needs simpler integration processes. Amazon OpenSearch Service could benefit from improved configuration flexibility and managing data complexity, alongside more affordable pricing and better documentation.
Ease of Deployment and Customer Service: ArcSight Logger requires significant management effort for on-premises deployment, and its technical support has received mixed reviews. In contrast, Amazon OpenSearch Service offers seamless public cloud deployment, with high-quality support and excellent integration with AWS services.
Pricing and ROI: ArcSight Logger is often considered expensive with complex licensing, yet valuable for compliance and security. Amazon OpenSearch Service follows a pay-as-you-go pricing model, which can be costly but is appreciated for operational efficiency.
| Product | Mindshare (%) |
|---|---|
| Amazon OpenSearch Service | 1.8% |
| ArcSight Logger | 0.9% |
| Other | 97.3% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 2 |
| Large Enterprise | 3 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 10 |
| Large Enterprise | 16 |
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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