Software Alternatives & Reviews

Qualdo™ VS Scale Nucleus

Compare Qualdo™ VS Scale Nucleus and see what are their differences

Qualdo™ logo Qualdo™

Monitor mission-critical data quality & ML issues and drifts

Scale Nucleus logo Scale Nucleus

The mission control for your ML data
  • Qualdo™ Landing page
    Landing page //
    2023-06-15

Qualdo.ai is a leader in monitoring and improving data quality and ML-Models for enterprises adopting a multi-cloud and modern data ecosystem. Qualdo.ai is a proprietary SaaS product where Data-Quality meets Model Monitoring.

Available on Azure, AWS and Google cloud databases, Qualdo™ helps enterprises monitor mission-critical ML & data issues, errors, and quality using Augmented Data Engineering. In other words, performance is measured and monitored in autopilot mode.

  • Scale Nucleus Landing page
    Landing page //
    2023-08-20

Qualdo™ videos

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Scale Nucleus videos

Using Scale Nucleus & Rapid to Label New Datasets Efficiently

More videos:

  • Review - Scale Nucleus: Send to Annotation
  • Review - Scale Nucleus: Find Missing Annotations

Category Popularity

0-100% (relative to Qualdo™ and Scale Nucleus)
Developer Tools
36 36%
64% 64
AI
37 37%
63% 63
Tech
52 52%
48% 48
APIs
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Scale Nucleus seems to be more popular. It has been mentiond 2 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.

Qualdo™ mentions (0)

We have not tracked any mentions of Qualdo™ yet. Tracking of Qualdo™ recommendations started around May 2021.

Scale Nucleus mentions (2)

  • [Discussion] The most painful thing about machine learning
    At Scale we built a tool for model debugging in computer vision called Nucleus (scale.com/nucleus) designed exactly for this, which is free try out if you're curious to see where your model predictions are most at odds with your ground truth. Source: over 2 years ago
  • Unit Testing for Production ML Workflows?
    To address your point about gathering edge cases, which can also be defined as cases of low model fidelity for our use cases, there is active learning and tools such as Aquarium Learning and Scale Nucleus which make it easy to implement into workflows. Source: almost 3 years ago

What are some alternatives?

When comparing Qualdo™ and Scale Nucleus, you can also consider the following products

Monitor ML - Real-time production monitoring of ML models, made simple.

Aquarium - Improve ML models by improving datasets they’re trained on

TensorFlow Lite - Low-latency inference of on-device ML models

PerceptiLabs - A tool to build your machine learning model at warp speed.

Metaplane - Metaplane is the Datadog for Data — a data observability tool that continuously monitors your data stack, alerts you when something goes wrong, and provides relevant metadata to help you debug.

ML Image Classifier - Quickly train custom machine learning models in your browser