Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

OpenObserve is a robust open-source observability platform designed for managing logs, metrics, and traces, focusing on exceptional performance, scalability, and significantly reduced costs. It enables observability at a petabyte scale by incorporating features like columnar storage data compression and the flexibility of “bring your own bucket” storage options, including local disks and cloud services such as S3, GCS, and Azure Blob. Developed in Rust, it utilizes the DataFusion query engine for direct querying of Parquet files, and it boasts a stateless, horizontally scalable framework that employs caching strategies for both results and disk to ensure rapid performance even during peak loads. By adhering to open standards, including compatibility with OpenTelemetry and vendor-neutral APIs, OpenObserve seamlessly integrates into pre-existing monitoring and logging ecosystems. Its essential components encompass logs, metrics, traces, frontend monitoring, pipelines, alerts, and comprehensive dashboards for visualizations. Ultimately, OpenObserve empowers organizations to achieve efficient and cost-effective observability solutions in their operations.

Description

Maximizing your application's performance is a breeze with the FREE trial of Prefix, which incorporates OpenTelemetry. This state-of-the-art open-source observability protocol allows OTel Prefix to enhance application development through seamless ingestion of universal telemetry data, unparalleled observability, and extensive language support. By empowering developers with the capabilities of OpenTelemetry, OTel Prefix propels performance optimization efforts for your entire DevOps team. With exceptional visibility into user environments, new technologies, frameworks, and architectures, OTel Prefix streamlines every phase of code development, app creation, and ongoing performance improvements. Featuring Summary Dashboards, integrated logs, distributed tracing, intelligent suggestions, and the convenient ability to navigate between logs and traces, Prefix equips developers with robust APM tools that can significantly enhance their workflow. As such, utilizing OTel Prefix can lead to not only improved performance but also a more efficient development process overall.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

.NET
Amazon S3
Amazon Web Services (AWS)
Apache Parquet
Azure Blob Storage
Google Cloud Platform
Java
Kubernetes
Node.js
OpenTelemetry
PHP
Python
Ruby
Rust

Integrations

.NET
Amazon S3
Amazon Web Services (AWS)
Apache Parquet
Azure Blob Storage
Google Cloud Platform
Java
Kubernetes
Node.js
OpenTelemetry
PHP
Python
Ruby
Rust

Pricing Details

$0.30 per GB
Free Trial
Free Version

Pricing Details

$99 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

OpenObserve

Founded

2022

Country

United States

Website

openobserve.ai/

Vendor Details

Company Name

Stackify

Founded

2012

Country

United States

Website

stackify.com/prefix/

Product Features

Product Features

Alternatives

Alternatives

Grafana Cloud Reviews

Grafana Cloud

Grafana Labs
Grafana Cloud Reviews

Grafana Cloud

Grafana Labs
TelemetryHub Reviews

TelemetryHub

TelemetryHub by Scout APM
Logfire Reviews

Logfire

Pydantic
TelemetryHub Reviews

TelemetryHub

TelemetryHub by Scout APM