Take advantage of your existing cloud object storage (Amazon S3 or Google GCS) to store logs and other telemetry data, achieving 50-80% cost savings over open source tools like ELK Stack or OpenSearch. Reduce management complexity and retain unlimited data to optimize troubleshooting and trend analysis. Connect to existing tools like Kibana and Trino to search telemetry and log data efficiently.
A serverless, stateless architecture is scalable, highly available, and provides better cost/performance as an alternative to Elasticsearch. All data is stored on your existing cloud storage at a 5-20x smaller size. Small size requires less compute, allowing teams to experience from 50-80% savings at scale. Don’t believe it? Ask for a free quote.
Ingest data and add or delete workloads at any time without having to repartition telemetry data. That means no sharding, field mappings/conflicts, or major upgrade reindexing. By using AWS S3 or GCS, there’s no need to store data in memory to achieve performant and reliable queries. Eliminate the cost vs. data retention tradeoffs you face with services like Elasticsearch, and stop moving data. All data remains hot, with 11 9s of durability.
Simply stream your data to your cloud storage to get started. Tap into familiar OpenSearch and Superset dashboards to search logs and events using your existing tools. Take advantage of native Elastic and Trino API support, and integrate seamlessly with Grafana and Datadog for full stack observability.
Leverage real-time ingestion with unlimited data retention, saving the management pain of Elasticsearch and the ingestion delays with Athena. Take advantage of:
The result? A single platform where you can monitor alerts, troubleshoot, and analyze trends over time — across datasets via SQL and Superset.
Say goodbye to the brittle, unreliable process of sharding, tiering, and replicating data in Elasticsearch and OpenSearch. Ingest data seamlessly into cloud storage and handle unexpected spikes without failure.
Take advantage of a secure, scalable solution that:
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