Splunk Observability Cloud and Amazon OpenSearch Service compete in the observability and search platform market. Splunk Observability Cloud seems to have the upper hand due to its rapid log searching and beneficial reporting features.
Features: Splunk Observability Cloud provides advanced dashboard customization, real-time log analysis, and efficient log searching, offering end-to-end visibility and seamless data integration. Amazon OpenSearch Service focuses on effective search and data retrieval with support for various add-ons, providing a robust set of features.
Room for Improvement: Splunk Observability Cloud could enhance third-party tool integration, scalability, and address high pricing concerns. Amazon OpenSearch Service requires improvements in auto-scaling support, configuration management, and better documentation to manage costs.
Ease of Deployment and Customer Service: Splunk Observability Cloud offers diverse deployment environments, from on-premises to hybrid clouds, with mixed technical support reviews. Amazon OpenSearch Service primarily provides public cloud deployments with generally responsive customer support and less frequent need for direct assistance.
Pricing and ROI: Splunk Observability Cloud is often flagged as expensive but offers good ROI through enhanced visibility and productivity. However, more competitive pricing would be beneficial. Amazon OpenSearch Service presents a cost-effective pay-as-you-use model, appealing for its manageability and potential cost savings.
| Product | Market Share (%) |
|---|---|
| Splunk Observability Cloud | 2.1% |
| Amazon OpenSearch Service | 1.8% |
| Other | 96.1% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 2 |
| Large Enterprise | 2 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 10 |
| Large Enterprise | 46 |
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.
Splunk Observability Cloud offers sophisticated log searching, data integration, and customizable dashboards. With rapid deployment and ease of use, this cloud service enhances monitoring capabilities across IT infrastructures for comprehensive end-to-end visibility.
Focused on enhancing performance management and security, Splunk Observability Cloud supports environments through its data visualization and analysis tools. Users appreciate its robust application performance monitoring and troubleshooting insights. However, improvements in integrations, interface customization, scalability, and automation are needed. Users find value in its capabilities for infrastructure and network monitoring, as well as log analytics, albeit cost considerations and better documentation are desired. Enhancements in real-time monitoring and network protection are also noted as areas for development.
What are the key features?In industries, Splunk Observability Cloud is implemented for security management by analyzing logs from detection systems, offering real-time alerts and troubleshooting for cloud-native applications. It is leveraged for machine data analysis, improving infrastructure visibility and supporting network and application performance management efforts.
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