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TrackJS VS Open Data Hub

Compare TrackJS VS Open Data Hub and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

TrackJS logo TrackJS

JavaScript Error Tracking for Modern Web Applications

Open Data Hub logo Open Data Hub

OpenDataHub
  • TrackJS Landing page
    Landing page //
    2022-07-27
  • Open Data Hub Landing page
    Landing page //
    2023-06-01

TrackJS features and specs

  • Real-time Error Tracking
    TrackJS provides real-time monitoring and alerting of JavaScript errors, allowing developers to quickly identify and address issues as they occur in live environments.
  • Detailed Error Reports
    The service offers comprehensive error reports with detailed stack traces and metadata, helping developers understand the context of errors for more efficient debugging.
  • User-friendly Interface
    TrackJS features an intuitive and easy-to-navigate dashboard, making it accessible even for developers who may not be familiar with error tracking tools.
  • Integrations
    The platform supports various integrations with popular development tools and services such as Slack, GitHub, and Jira, enabling seamless workflow enhancements.
  • Performance Impact
    TrackJS is designed to have minimal performance impact on your application, ensuring that error tracking does not degrade user experience.

Possible disadvantages of TrackJS

  • Pricing
    TrackJS may be considered expensive for smaller teams or projects, as the cost can add up depending on the level of service required.
  • Customization
    While TrackJS provides a robust set of features out-of-the-box, it may lack the level of customization or flexibility needed for specific use cases or complex applications.
  • Limited Free Tier
    The free tier of TrackJS may have limitations in terms of features and data usage, which could be restrictive for some users looking for a more comprehensive solution.
  • Dependency on External Service
    Using TrackJS introduces a dependency on an external service for error tracking, which could be a concern for organizations with strict data policies or those preferring self-hosted solutions.

Open Data Hub features and specs

No features have been listed yet.

TrackJS videos

+ Add

Redux TrackJS Logger

Open Data Hub videos

+ Add

Open Data Hub Introduction

More videos:

  • Review - Fraud Detection Using Open Data Hub on Openshift
  • Review - Installing Open Data Hub on OpenShift 4.1

Category Popularity

0-100% (relative to TrackJS and Open Data Hub)

TrackJS

Open Data Hub

Error Tracking
100 100%
Error Tracking
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Exception Monitoring
100 100%
Exception Monitoring
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using TrackJS and Open Data Hub. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Open Data Hub should be more popular than TrackJS. It has been mentiond 3 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.

TrackJS mentions (1)

  • First 6 months with eBay/Adevinta
    Holding a hand on a pulse of metrics for errors;. - Source: dev.to / over 2 years ago

Open Data Hub mentions (3)

  • job scheduling for scientific computing on k8s?
    Perhaps have a look at OpenDataHub. While geared for Openshift, see if they solved some of your concerns. Source: about 2 years ago
  • Elyra 2.2: R support, updated CLI, and more
    A common approach is to deploy JupyterHub on Kubernetes and configure it for Elyra, like it is done in Open Data Hub on the Red Hat OpenShift Container platform. - Source: dev.to / over 4 years ago
  • Automate your machine learning workflow tasks using Elyra and Apache Airflow
    If you are interested in running pipelines on Apache Airflow on the Red Hat OpenShift Container Platform, take a look at Open Data Hub. Open Data Hub is an open source project (just like Elyra) that should include everything you need to start running machine learning workloads in a Kubernetes environment. - Source: dev.to / over 4 years ago

What are some alternatives?

When comparing TrackJS and Open Data Hub, you can also consider the following products

Sentry.io - From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.

IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.

Rollbar - Rollbar collects errors that happen in your application, notifies you, and analyzes them so you can debug and fix them. Ruby, Python, PHP, Node.js, JavaScript, and Flash libraries available.

Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)

Raygun - Raygun gives developers meaningful insights into problems affecting their applications. Discover issues - Understand the problem - Fix things faster.

C3 AI Suite - The C3 AI Suite uses a model-driven architecture to accelerate delivery and reduce the complexities of developing enterprise-scale AI applications.

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