OpenObserve – Elasticsearch/Datadog alternative
Hello folks, We are launching OpenObserve. An open source Elasticsearch/Splunk/Datadog alternative written in rust and vue that is super easy to get started with and has 140x lower storage cost compared to elasticsearch. It offers logs, metrics, traces, dashboards, alerts, functions (run aws lambda like functions during ingestion and query to enrich, redact, transform, normalize and whatever else you want to do. Think redacting email IDs from logs, adding geolocation based on IP address, etc). You can do all of this from the UI, no messing up with configuration files. OpenObserve…
In plain words
OpenObserve is an open-source observability platform built in Rust and Vue that handles logs, metrics, traces, dashboards, alerts, and data transformation functions. It targets developers and operations teams looking to replace Elasticsearch, Splunk, or Datadog with lower storage costs. The platform uses a UI-based approach for configuring data enrichment, redaction, and normalization without configuration files, and supports both local disk and cloud storage backends including S3, GCS, and Azure Blob.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hello folks, We are launching OpenObserve. An open source Elasticsearch/Splunk/Datadog alternative written in rust and vue that is super easy to get started with and has 140x lower storage cost compared to elasticsearch. It offers logs, metrics, traces, dashboards, alerts, functions (run aws lambda like functions during ingestion and query to enrich, redact, transform, normalize and whatever else you want to do. Think redacting email IDs from logs, adding geolocation based on IP address, etc). You can do all of this from the UI, no messing up with configuration files. OpenObserve can use local disk for storage in single node mode or s3/gcs/minio/azure blob or any s3 compatible store in HA mode. We found that setting up observability often involved setting up 4 different tools (grafana for dashboarding, elasticsearch/loki/etc for logs, jaeger for tracing, thanos, cortex etc for metrics) and its not simple to do these things. Here is a blog on why we built OpenObserve - https://openobserve.ai/blog/launching-openobserve. We are in early days and would love to get feedback and suggestions.
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