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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 Kloudfuse?

Kloudfuse stands out as an AI-driven observability platform that adeptly scales and brings together a multitude of data sources, such as metrics, logs, traces, events, and the monitoring of digital experiences, into a unified observability data lake. Supporting over 700 integrations, it allows for the effortless integration of both agent-based and open-source data without necessitating any re-instrumentation, and it is compatible with open query languages like PromQL, LogQL, TraceQL, GraphQL, and SQL, in addition to providing the ability to create tailored workflows via notifications and webhooks. Organizations have the advantage of quickly deploying Kloudfuse within their Virtual Private Cloud (VPC) using a simple single-command installation, while operations can be managed centrally through a control plane. The platform's automatic collection and indexing of telemetry data utilize intelligent facets, delivering swift search capabilities, machine learning-driven context-aware alerts, and service level objectives (SLOs) that reduce the likelihood of false positives. Users enjoy extensive visibility across the entire technology stack, making it easier to trace issues from user experience metrics and session replays down to backend profiling, traces, and metrics, thus streamlining the troubleshooting process. This comprehensive observability strategy guarantees that teams can promptly detect and fix code-level problems while keeping user experience enhancement at the forefront of their efforts. Ultimately, Kloudfuse empowers organizations to maintain operational efficiency and foster better user satisfaction.

Media

Media

Integrations Supported

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

Integrations Supported

GraphQL
SQL

API Availability

Has API

API Availability

Pricing Information

$0.30 per GB
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

OpenObserve

Date Founded

2022

Company Location

United States

Company Website

openobserve.ai/

Company Facts

Organization Name

Kloudfuse

Date Founded

2020

Company Location

United States

Company Website

www.kloudfuse.com

Categories and Features

Observability

Not specified

Categories and Features

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