Both Datadog and Dynatrace provide their own cloud-based observability platforms that include storage for logs, traces, and metrics.
### Datadog:
1. **Cloud-Based Platform**: Datadog operates its own cloud-based observability platform, which includes storage for logs, traces, and metrics. This platform is hosted and managed by Datadog, providing users with a fully managed solution for collecting, storing, and analyzing observability data.
2. **Datadog Datastore**: Datadog stores logs, traces, and metrics in its proprietary datastore, which is optimized for high-performance querying and analysis. The datastore is designed to handle high volumes of data and provide fast access to historical and real-time data.
3. **Integration with Cloud Storage**: In addition to its own datastore, Datadog also offers integrations with cloud storage services such as Amazon S3, Google Cloud Storage, and Azure Blob Storage. Users can configure Datadog to archive log data to these external storage services for long-term retention and compliance purposes.
### Dynatrace:
1. **Cloud-Based Platform**: Similar to Datadog, Dynatrace provides a cloud-based observability platform that includes storage for logs, traces, and metrics. This platform is hosted and managed by Dynatrace, offering users a fully managed solution for collecting, storing, and analyzing observability data.
2. **Dynatrace Datastore**: Dynatrace stores logs, traces, and metrics in its own proprietary datastore, which is optimized for high-performance analytics and insights. The datastore is designed to handle large-scale data ingestion and provide real-time access to observability data.
3. **Built-In Storage**: Dynatrace's platform includes built-in storage for logs, traces, and metrics, eliminating the need for users to manage separate storage infrastructure. The platform automatically scales and manages storage resources to accommodate growing data volumes and user demand.
Both Datadog and Dynatrace leverage their own cloud infrastructure and proprietary storage solutions to provide scalable, reliable, and high-performance storage for observability data. Additionally, they offer integrations with external cloud storage services for users who require long-term retention or compliance archiving of their data.
