Google Cloud's operations suite and Amazon OpenSearch Service are competing products in the cloud environment management category. Google Cloud's operations suite seems to have the upper hand with its integrated monitoring and intuitive interface, while Amazon OpenSearch Service is preferred for its comprehensive search functionality and AWS integration.
Features: Google Cloud's operations suite offers real-time monitoring, efficient log management, and performance diagnostics. Amazon OpenSearch Service provides advanced search capabilities, data analytics with Elasticsearch, and powerful visualization tools like Kibana.
Room for Improvement: Google Cloud's operations suite could enhance customization options, improve alerts management, and add more advanced analytics features. Amazon OpenSearch Service might work on simplifying its integration processes, improving documentation for complex setups, and expanding search query functionalities.
Ease of Deployment and Customer Service: Google Cloud's operations suite has straightforward deployment, clear documentation, and responsive support. Amazon OpenSearch Service benefits from AWS's infrastructure for easy deployment, but complex integrations may present challenges despite comprehensive support.
Pricing and ROI: Google Cloud's operations suite offers competitive and transparent pricing, often economical for Google Cloud users. Amazon OpenSearch Service provides flexible pricing that scales with use, yielding significant ROI when integrated into AWS environments.
| Product | Market Share (%) |
|---|---|
| Amazon OpenSearch Service | 2.0% |
| Google Cloud's operations suite (formerly Stackdriver) | 1.0% |
| Other | 97.0% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 2 |
| Large Enterprise | 2 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 1 |
| Large Enterprise | 8 |
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.
Real-time log management and analysis
Cloud Logging is a fully managed service that performs at scale and can ingest application and platform log data, as well as custom log data from GKE environments, VMs, and other services inside and outside of Google Cloud. Get advanced performance, troubleshooting, security, and business insights with Log Analytics, integrating the power of BigQuery into Cloud Logging.
Built-in metrics observability at scale
Cloud Monitoring provides visibility into the performance, uptime, and overall health of cloud-powered applications. Collect metrics, events, and metadata from Google Cloud services, hosted uptime probes, application instrumentation, and a variety of common application components. Visualize this data on charts and dashboards and create alerts so you are notified when metrics are outside of expected ranges.
Stand-alone managed service for running and scaling Prometheus
Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring solution, built on top of the same globally scalable data store as Cloud Monitoring. Keep your existing visualization, analysis, and alerting services, as this data can be queried with PromQL or Cloud Monitoring.
Monitor and improve your application's performance
Application Performance Management (APM) combines the monitoring and troubleshooting capabilities of Cloud Logging and Cloud Monitoring with Cloud Trace and Cloud Profiler to help you reduce latency and cost so you can run more efficient applications.
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