Open-source native AI observability platform, alternative to Datadog
High-performance, unified open-source observability platform for the AI era. OpenObserve offers a modern, scalable architecture designed for high performance and low cost, with storage costs up to 140x lower than Elasticsearch. It is written in Rust and utilizes the DataFusion query engine to directly query Parquet files, enabling queries on 1 petabyte of data in 2 seconds. The stateless architecture allows for horizontal scaling without data complexity. It is OpenTelemetry compatible and embraces a vendor-neutral approach.
For solopreneurs, OpenObserve enables monitoring of website performance and user engagement. Example: Track page load times and identify user drop-off points on an e-commerce site to optimize conversion rates.
For university students, OpenObserve enables efficient analysis of large datasets for research projects. Example: Ingest and query experimental logs to identify patterns and anomalies in scientific data.
For small development teams, OpenObserve enables real-time monitoring of application logs and metrics. Example: Track error rates and system resource usage to quickly diagnose and resolve production issues.
For independent content creators, OpenObserve enables tracking of video performance and audience interaction. Example: Monitor video playback metrics and user engagement on a streaming platform to understand content popularity.
OpenObserve is open-source, meaning the core platform is free to use. They also offer a cloud-hosted version with a free trial, and paid plans for professional and enterprise needs with varying features and support levels.
OpenObserve's cloud offering has a pay-as-you-go model with ingestion priced at $0.50 per GB and query at $0.01 per GB. Included retention is 15 months for metrics and 30 days for other data types. Enterprise plans offer additional features and custom pricing.
Alternatives to OpenObserve include Datadog, Splunk, and New Relic, which are established players in the observability space. OpenObserve positions itself as a more cost-effective option with a focus on open-source principles.
While the provided search results do not explicitly detail GDPR compliance or specific security certifications, OpenObserve offers features like Sensitive Data Redaction and Role-Based Access Control (RBAC) in its Enterprise plan, which are relevant to data security and privacy.
OpenObserve is presented as a Datadog alternative at a fraction of the cost, emphasizing its open-source nature and lower storage expenses. Datadog is a mature, feature-rich platform, while OpenObserve aims for cost-effectiveness and speed.
OpenObserve can be self-hosted, allowing you to install and manage the platform on your own infrastructure. The platform is designed to get you started quickly, with mentions of getting started in 2 minutes.
Yes, OpenObserve offers a 14-day free trial for its cloud-hosted service, allowing users to explore its features before committing to a paid plan.
We're still verifying the official pricing for OpenObserve. In the meantime, the most up-to-date plans and prices are available directly on the publisher's website.
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