This Platform Can Reduce Your Observability Costs by 2X
Why It Matters
The dramatic performance and cost gains demonstrate that organizations can replace costly proprietary search stacks with OpenObserve, delivering faster observability at a fraction of the expense.
Key Takeaways
- •OpenObserve ingests logs up to 16× faster than OpenSearch.
- •Indexing latency drops by roughly 12× when using OpenObserve.
- •Query performance improves 13–15×, even at billions of logs.
- •Total cost of ownership is ~15× lower on AWS with OpenObserve.
- •Benchmark scripts and repo are open‑source for reproducible testing.
Summary
In the video, engineer Abhishek explains how he replaced OpenSearch with OpenObserve to build a high‑performance, low‑cost observability stack for a freelancing project.
He benchmarked both systems across eight metrics—ingestion throughput, indexing latency, query speed, concurrent queries, storage, memory, CPU efficiency, and recovery time—using a custom log‑storm generator on an AWS EKS cluster with identical hardware.
Results show OpenObserve delivering up to 16× higher ingestion rates, 12× lower indexing latency, and 13‑15× faster query responses, while cutting estimated monthly AWS spend by roughly 15 % (e.g., $68 vs $80). The full scripts and data are publicly available on GitHub for replication.
For enterprises scaling log analytics to billions of records, the findings suggest a viable open‑source alternative that dramatically reduces infrastructure costs and latency, enabling faster troubleshooting and better resource allocation.
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