Pachyderm vs. Weights & Biases

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Pachyderm
Score 0.0 out of 10
N/A
Pachyderm is for data science teams who want to operationalize the data tasks in their ML lifecycle to iterate on data more quickly and reliably. Pachyderm supports data versioning and pipelines for MLOps, and this data foundation allows data science teams to automate and scale their machine learning lifecycle while guaranteeing reproducibility. Pachyderm provides data-driven automation, petabyte scalability and end-to-end reproducibility. Pachyderm Enterprise…
$0
Weights & Biases
Score 10.0 out of 10
N/A
Weights & Biases helps machine learning teams build better models. Practitioners can debug, compare and reproduce their models — architecture, hyperparameters, git commits, model weights, GPU usage, datasets and predictions — and collaborate with their teammates.
$50
per month per user
Pricing
PachydermWeights & Biases
Editions & Modules
Pachyderm Enterprise Edition
$0
Pachyderm Community Edition
$0
Pachyderm Enterprise Edition
$0
Pachyderm Community Edition
$0
Starter
$50
per month per user
Enterprise
custom pricing
Offerings
Pricing Offerings
PachydermWeights & Biases
Free Trial
YesNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
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User Ratings
PachydermWeights & Biases
Likelihood to Recommend
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
PachydermWeights & Biases
Likelihood to Recommend
Pachyderm
No answers on this topic
Weights & Biases
No brainer to use it when doing ML experiments as it is very easy compared to any other open source tool. You don't have to host anything like in Tensorboard.
Experiment details can be shared very easily with public using the reports
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Pros
Pachyderm
No answers on this topic
Weights & Biases
  • Metrics Logging
  • Hyperparmeters Sweeps
  • Model Artifcats
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Cons
Pachyderm
No answers on this topic
Weights & Biases
  • Dashboard lags when we log a lot of metrics
  • Improved support for matplotlib charts and documentation of wandb custom charts is not straghtforward
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Return on Investment
Pachyderm
No answers on this topic
Weights & Biases
  • Made it very easy to track experiments
  • Track ML and Business Metrics improvements across experiments
  • Reproduce runs which is essential in ML modelling
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ScreenShots

Pachyderm Screenshots

Screenshot of Automated Data Versioning - Pachyderm’s Data Versioning gives teams an automated and performant way to keep track of all data changesScreenshot of Data-Driven Pipelines - Pachyderm’s Containerized Pipelines speed data processing while lowering compute costsScreenshot of Immutable Data Lineage - Pachyderm’s Data Lineage provides an immutable record for all activities and assets in the ML lifecycleScreenshot of Console - The Pachyderm Console provides an intuitive visualization of your DAG (directed acyclic graph) and aids in reproducibilityScreenshot of Notebooks - Pachyderm’s JupyterLab Mount Extension provides a point-and-click interface to Pachyderm versioned dataScreenshot of Enterprise Administration - Pachyderm provides robust tools for deploying and administering Pachyderm at scale across different teams in your organization

Weights & Biases Screenshots

Screenshot of Weights & Biases