ArcSight Logger and Amazon OpenSearch Service are leading competitors in log management and analytics. Amazon OpenSearch Service holds a slight advantage with its superior integration capabilities and deployment flexibility.
Features: ArcSight Logger offers robust scalability, flexible log collection, and advanced security analytics, excelling in managing large volumes of log data and providing detailed event insights. Amazon OpenSearch Service stands out with seamless integration and fast data retrieval, offering powerful analytics, which is beneficial for organizations seeking flexibility and rapid deployment.
Room for Improvement: ArcSight Logger needs modernization in its usability and interface, along with improved support for legacy systems and reduced complexity. Amazon OpenSearch Service could benefit from better customization options and cost management to address high expenses, particularly during non-peak usage, and enhance system configuration flexibility.
Ease of Deployment and Customer Service: ArcSight Logger is mainly on-premises, ideal for controlled environments but challenging to deploy. Its customer service has mixed reviews, especially after acquisition. Amazon OpenSearch Service offers greater cloud deployment flexibility, and while generally well-received, some users desire swifter problem resolution.
Pricing and ROI: ArcSight Logger is costly with complex licensing and maintenance fees, yet many find it valuable for its security and compliance benefits. Amazon OpenSearch Service utilizes a pay-as-you-use model, offering pricing flexibility conducive to scalable cloud needs but may incur significant costs, particularly during idle periods.
| Product | Market Share (%) |
|---|---|
| Amazon OpenSearch Service | 2.8% |
| ArcSight Logger | 0.7% |
| Other | 96.5% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 2 |
| Large Enterprise | 2 |
| 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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