SolarWinds AppOptics and Amazon OpenSearch Service compete in the application performance monitoring and data analytics sector. SolarWinds AppOptics holds an advantage in user-friendliness and support, making it attractive for easy monitoring solutions, while Amazon OpenSearch Service offers superior scalability and analytics, appealing to data-focused enterprises.
Features: SolarWinds AppOptics provides agentless real-time monitoring of networks and applications, customizable dashboards, and topology discovery. Amazon OpenSearch Service features scalable search and retrieval of data, fast and reliable search results, and OpenSearch dashboards enabling visualization for large organizations.
Room for Improvement: SolarWinds AppOptics might benefit from expanded scalability features, enhanced analytics capabilities, and more advanced customization options. Amazon OpenSearch Service could improve user-friendliness, streamline deployment processes, and enhance integration guidance for different environments.
Ease of Deployment and Customer Service: SolarWinds AppOptics ensures straightforward deployment with comprehensive customer support, minimizing setup challenges. Amazon OpenSearch Service, being customizable, may require longer deployment, yet it provides extensive documentation and resources to aid users in complex implementations.
Pricing and ROI: SolarWinds AppOptics offers competitive pricing with rapid ROI thanks to quick deployment and efficient monitoring, making it cost-effective for many businesses. Amazon OpenSearch Service may be costlier but delivers substantial ROI through advanced analytics and scalability, ideal for organizations managing large data sets.
| Product | Market Share (%) |
|---|---|
| Amazon OpenSearch Service | 2.0% |
| SolarWinds AppOptics | 0.4% |
| Other | 97.6% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 2 |
| Large Enterprise | 2 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 1 |
| Large Enterprise | 7 |
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.
AppOptics is a SaaS-based simple, powerful and affordable Infrastructure & Application monitoring for custom on-premises, cloud, and hybrid systems.
Your business runs on applications, and when they go down or run slowly, it can impact the business in lost productivity, customers, or revenue. To add to the complexity, your IT environment is changing, and workloads can be spread across data centers, and cloud resources. You need to monitor the availability and performance of applications and infrastructure, regardless of where they are, so you can identify potential issues early and address them before they impact users
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