Openobserve: A High-Performance Elasticsearch/Splunk/Datadog Alternative

2023/06/22

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Openobserve is a high-performance, petabyte-scale alternative to Elasticsearch, Splunk, and Datadog for logs, metrics, and traces. It is 10x easier to use, 140x lower in storage cost, and offers high performance. Openobserve is licensed under the Apache-2.0 license and has gained 4.7k stars and 178 forks on GitHub.

Openobserve is designed to be easy to use, with a simple query language and a user-friendly interface. It can handle petabyte-scale data with ease, making it an ideal choice for large-scale applications. Openobserve also offers high performance, with fast query times and low storage costs.

Developers can use Openobserve to monitor and analyze logs, metrics, and traces from their applications. It is compatible with a wide range of data sources, including Kubernetes, AWS, and GCP. Openobserve also offers a range of features, including real-time alerts, anomaly detection, and machine learning.

Here's an example of how to use Openobserve to query logs:

from openobserve import Openobserve

# Connect to Openobserve
client = Openobserve("http://localhost:8080")

# Query logs
logs = client.query_logs("app:myapp AND status:500")

# Print results
for log in logs:
    print(log)

In conclusion, Openobserve is a powerful and easy-to-use alternative to Elasticsearch, Splunk, and Datadog. It offers high performance, low storage costs, and a range of features for monitoring and analyzing logs, metrics, and traces. Developers looking for a petabyte-scale solution for their applications should definitely consider Openobserve.