LogfirePydantic
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Related Products
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About
DataBahn.ai is redefining how enterprises manage the explosion of security and operational data in the AI era. Our AI-powered data pipeline and fabric platform helps organizations securely collect, enrich, orchestrate, and optimize enterprise data—including security, application, observability, and IoT/OT telemetry—for analytics, automation, and AI.
With native support for over 400 integrations and built-in enrichment capabilities, DataBahn streamlines fragmented data workflows and reduces SIEM and infrastructure costs from day one. The platform requires no specialist training, enabling security and IT teams to extract insights in real time and adapt quickly to new demands. We've helped Fortune 500 and Global 2000 companies reduce data processing costs by over 50% and automate more than 80% of their data engineering workloads.
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About
Pydantic Logfire is an observability platform designed to simplify monitoring for Python applications by transforming logs into actionable insights. It provides performance insights, tracing, and visibility into application behavior, including request headers, body, and the full trace of execution. Pydantic Logfire integrates with popular libraries and is built on top of OpenTelemetry, making it easier to use while retaining the flexibility of OpenTelemetry's features. Developers can instrument their apps with structured data, and query-ready Python objects, and gain real-time insights through visualizations, dashboards, and alerts. Logfire also supports manual tracing, context logging, and exception capturing, providing a modern logging interface. It is tailored for developers seeking a streamlined, effective observability tool with out-of-the-box integrations and ease of use.
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Supported
iPhone
Supported
iPad
Supported
Android
Supported
Chromebook
Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Organizations wanting a solution to optimize data engineering and management processes, enhance data security, and reduce operational costs
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Audience
Professional users looking for a tool to monitor and troubleshoot Python applications
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
$2 per month
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationDataBahn
Founded: 2024
United States
databahn.ai/
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Company InformationPydantic
United States
pydantic.dev/logfire
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Alternatives |
Alternatives |
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Categories |
Categories |
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Data Fabric Features
Data Access Management
Not Supported
Data Analytics
Supported
Data Collaboration
Not Supported
Data Lineage Tools
Supported
Data Networking / Connecting
Not Supported
Metadata Functionality
Supported
No Data Redundancy
Supported
Persistent Data Management
Not Supported
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Integrations
Amazon Web Services (AWS)
Supported
Cloudflare
Supported
CrowdStrike Falcon
Supported
Databricks
Supported
Datadog
Supported
Disco.dev
Not Supported
EarlyCore
Not Supported
Fortinet
Supported
Google Cloud Platform
Supported
Google Security Operations (SecOps)
Supported
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Integrations
Amazon Web Services (AWS)
Not Supported
Cloudflare
Not Supported
CrowdStrike Falcon
Not Supported
Databricks
Not Supported
Datadog
Not Supported
Disco.dev
Supported
EarlyCore
Supported
Fortinet
Not Supported
Google Cloud Platform
Not Supported
Google Security Operations (SecOps)
Not Supported
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