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Jaeger VS Apache Airflow

Compare Jaeger VS Apache Airflow and see what are their differences

Jaeger logo Jaeger

Distributed tracing system released as open source by Uber

Apache Airflow logo Apache Airflow

Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
  • Jaeger Landing page
    Landing page //
    2023-09-24
  • Apache Airflow Landing page
    Landing page //
    2023-06-17

Jaeger videos

Audio Imperia Jaeger - The Essential Modern Orchestral Library | Review

More videos:

  • Review - Audio Imperia JAEGER Overview
  • Review - Audio Imperia : Jaeger - The Samplecast Big Review

Apache Airflow videos

Airflow Tutorial for Beginners - Full Course in 2 Hours 2022

Category Popularity

0-100% (relative to Jaeger and Apache Airflow)
Monitoring Tools
100 100%
0% 0
Workflow Automation
0 0%
100% 100
Log Management
100 100%
0% 0
Automation
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Jaeger and Apache Airflow

Jaeger Reviews

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Apache Airflow Reviews

5 Airflow Alternatives for Data Orchestration
While Apache Airflow continues to be a popular tool for data orchestration, the alternatives presented here offer a range of features and benefits that may better suit certain projects or team preferences. Whether you prioritize simplicity, code-centric design, or the integration of machine learning workflows, there is likely an alternative that meets your needs. By...
Top 8 Apache Airflow Alternatives in 2024
Apache Airflow is a workflow streamlining solution aiming at accelerating routine procedures. This article provides a detailed description of Apache Airflow as one of the most popular automation solutions. It also presents and compares alternatives to Airflow, their characteristic features, and recommended application areas. Based on that, each business could decide which...
Source: blog.skyvia.com
10 Best Airflow Alternatives for 2024
In a nutshell, you gained a basic understanding of Apache Airflow and its powerful features. On the other hand, you understood some of the limitations and disadvantages of Apache Airflow. Hence, this article helped you explore the best Apache Airflow Alternatives available in the market. So, you can try hands-on on these Airflow Alternatives and select the best according to...
Source: hevodata.com
A List of The 16 Best ETL Tools And Why To Choose Them
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows.
15 Best ETL Tools in 2022 (A Complete Updated List)
Apache Airflow programmatically creates, schedules and monitors workflows. It can also modify the scheduler to run the jobs as and when required.

Social recommendations and mentions

Based on our record, Apache Airflow should be more popular than Jaeger. It has been mentiond 66 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Jaeger mentions (8)

  • Building for Failure
    The best way to do this, is with the help of tracing tools such as paid tools such as Honeycomb, or your own instance of the open source Jaeger offering, or perhaps Encore's built in tracing system. - Source: dev.to / 8 months ago
  • How to monitor Istio, the Kubernetes service mesh
    Jaeger: A distributed tracing platform. In addition to what the other tools offer, Jaeger allows you to analyze network performance and optimize latencies. - Source: dev.to / over 1 year ago
  • Implement DevSecOps to Secure your CI/CD pipeline
    Application performance Monitoring (APM) improves the visibility into a distributed microservices architecture. The APM data can help enhance software security by allowing a full view of an application. Distributed tracing tools like Zipkin and Jaeger kind of stitch all logs together and bring full visibility of requests from start to end. It speeds up response time for new bugs or attacks. - Source: dev.to / over 1 year ago
  • Write your Kubernetes Infrastructure as Go code - Getting started with cdk8s
    While we are on this topic, its hard not to mention the Go programming language and its ubiquitous presence in the cloud services and infrastructure domain. It combines the safety of a compiled language with the speed a interpreted language (like Python), has a robust standard library and compiles to a single binary. These and many more qualities have led to lots of cloud-native software (IaC, monitoring,... - Source: dev.to / almost 2 years ago
  • Top 200 Kubernetes Tools for DevOps Engineer Like You
    Jaeger - CNCF Jaeger, a Distributed Tracing Platform Kiali - Kiali project, observability for the Istio service mesh ELK - Elasticsearch, Logstash, Kibana Fluentbit - Fast and Lightweight Log processor and forwarder for Linux, BSD and OSX Loki - Like Prometheus, but for logs. - Source: dev.to / over 2 years ago
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Apache Airflow mentions (66)

  • AI Strategy Guide: How to Scale AI Across Your Business
    Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities. - Source: dev.to / 14 days ago
  • The 2024 Web Hosting Report
    For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 3 months ago
  • Best ETL Tools And Why To Choose
    Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 7 months ago
  • Simplifying Data Transformation in Redshift: An Approach with DBT and Airflow
    Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring. - Source: dev.to / 7 months ago
  • Share Your favorite python related software!
    AIRFLOW This is more of a library in my opinion, but Airflow has become an essential tool for scheduling in my work. All our ML training pipelines are ordered and scheduled with Airflow and it works seamlessly. The dashboard provided is also fantastic! Source: 8 months ago
View more

What are some alternatives?

When comparing Jaeger and Apache Airflow, you can also consider the following products

Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases

ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.

Prometheus - An open-source systems monitoring and alerting toolkit.

Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.

NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.

Make.com - Tool for workflow automation (Former Integromat)