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What is OpenObserve?

OpenObserve is a powerful open-source observability platform tailored for the management of logs, metrics, and traces, with a strong emphasis on high performance, scalability, and significantly lower costs. It facilitates observability at an immense scale, capable of handling petabytes of data through features like columnar storage data compression and the option to "bring your own bucket" for storage, whether on local disks or cloud services such as S3, GCS, and Azure Blob. Engineered in Rust, OpenObserve employs the DataFusion query engine for direct querying of Parquet files, offering a stateless, horizontally scalable architecture that implements caching strategies for both results and disk, ensuring swift performance even under peak traffic conditions. By following open standards and maintaining compatibility with OpenTelemetry and vendor-neutral APIs, OpenObserve integrates effortlessly into existing monitoring and logging frameworks. Its core features include logs, metrics, traces, frontend monitoring, pipelines, alerts, and detailed dashboards for effective visualizations. This comprehensive platform not only enhances observability but also streamlines data management processes for organizations aiming for operational efficiency. By adopting OpenObserve, businesses can realize significant improvements in their observability practices while managing costs effectively.

What is Middleware?

An innovative cloud observation platform powered by AI offers a middleware solution that enables users to pinpoint, comprehend, and address issues within their cloud infrastructure. This AI-driven system identifies and diagnoses a variety of issues related to applications and infrastructure, providing insightful recommendations for their resolution. With a real-time dashboard, users can effectively monitor metrics, logs, and traces, ensuring optimal outcomes with minimal resource expenditure. The platform consolidates all relevant data into a cohesive timeline, delivering a comprehensive observability solution that grants full visibility into cloud operations. Leveraging advanced algorithms, the AI analyzes incoming data and proposes actionable fixes, while giving users complete control over their data collection and storage, potentially reducing costs by up to tenfold. By connecting the dots from the origin to the resolution of problems, issues can be addressed proactively, often before they reach the users. Ultimately, the platform provides a centralized and cost-effective solution for cloud observability, enhancing overall operational efficiency. This empowers users to maintain their cloud systems with greater confidence and effectiveness.

Media

Media

Integrations Supported

Amazon S3
Amazon Web Services (AWS)
Apache Parquet
Azure Blob Storage
Google Cloud Platform
Kubernetes
OpenTelemetry
Rust

Integrations Supported

Amazon S3
Amazon Web Services (AWS)
Apache Parquet
Azure Blob Storage
Google Cloud Platform
Kubernetes
OpenTelemetry
Rust

API Availability

Has API

API Availability

Has API

Pricing Information

$0.30 per GB
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

OpenObserve

Date Founded

2022

Company Location

United States

Company Website

openobserve.ai/

Company Facts

Organization Name

Middleware Lab

Date Founded

2022

Company Location

United States

Company Website

middleware.io

Categories and Features

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

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