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OpenObserve

by OpenObserve

Rust-native cloud observability platform providing Elasticsearch-compatible log search at 140x lower storage cost — covering logs, metrics, traces, and dashboards for APAC cost-sensitive observability deployments.

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AIMenta verdict
Decent fit
4/5

"Cloud-native log search — APAC teams use OpenObserve as a Rust-based Elasticsearch-compatible platform providing 140x lower storage costs than Elasticsearch for APAC logs, metrics, and traces."

Features
6
Use cases
1
Watch outs
3
What it does

Key features

  • 140x lower storage: object storage backend vs APAC SSD-based Elasticsearch
  • Elasticsearch API: compatible with existing APAC log shippers and agents
  • Unified: logs + metrics + traces in single APAC platform
  • Rust performance: high-throughput APAC log ingestion with low resource usage
  • Built-in dashboards: Grafana-compatible APAC visualization without separate install
  • Open-source: self-hosted APAC deployment with cloud-managed option
When to reach for it

Best for

  • APAC engineering teams running high-volume log workloads where Elasticsearch storage costs are prohibitive — particularly cost-sensitive APAC deployments needing long-retention log search with S3/GCS/MinIO object storage backends.
Don't get burned

Limitations to know

  • ! Less mature ecosystem than Elasticsearch — APAC plugin/integration coverage still growing
  • ! Object storage latency vs SSD for APAC real-time search (acceptable for most log analytics)
  • ! Smaller APAC community than ELK stack — fewer third-party APAC tutorials and support resources
Context

About OpenObserve

OpenObserve is a cloud-native observability platform built in Rust — providing Elasticsearch-compatible log search, metrics, traces, and dashboards with dramatically lower storage costs than Elasticsearch or OpenSearch. APAC engineering teams running high-volume log workloads choose OpenObserve when Elasticsearch or OpenSearch storage costs become prohibitive for APAC data volumes.

OpenObserve's storage architecture uses object storage (S3, GCS, Azure Blob, MinIO) as the primary storage layer rather than local disk — APAC teams pay object storage rates ($0.023/GB on S3) rather than SSD rates ($0.10+/GB on EC2). For APAC applications generating 1TB+/month of logs, this 140x storage cost reduction makes long-retention log search economically viable.

OpenObserve is API-compatible with Elasticsearch's search and ingest APIs — APAC teams can point existing Fluentd, Logstash, or Vector log shippers at OpenObserve without reconfiguring APAC applications. The Grafana Alloy/Agent APAC pipelines using Elasticsearch output can route to OpenObserve with a URL change, preserving existing APAC log pipeline investments.

OpenObserve's unified data model covers logs, metrics, and traces in a single APAC platform — unlike the Elastic Stack's separate Elasticsearch + APM Server components, OpenObserve stores all telemetry in the same object storage backend with unified APAC dashboard access. APAC teams seeking to reduce the operational complexity of maintaining separate log, metric, and trace stores find OpenObserve's unified approach compelling.

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