Google Cloud AI vs. Pachyderm

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud AI
Score 8.2 out of 10
N/A
Google Cloud AI provides modern machine learning services, with pre-trained models and a service to generate tailored models.N/A
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
Pricing
Google Cloud AIPachyderm
Editions & Modules
No answers on this topic
Pachyderm Enterprise Edition
$0
Pachyderm Community Edition
$0
Pachyderm Enterprise Edition
$0
Pachyderm Community Edition
$0
Offerings
Pricing Offerings
Google Cloud AIPachyderm
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Google Cloud AIPachyderm
Best Alternatives
Google Cloud AIPachyderm
Small Businesses
InterSystems IRIS
InterSystems IRIS
Score 7.8 out of 10
Google Cloud AI
Google Cloud AI
Score 8.2 out of 10
Medium-sized Companies
Posit
Posit
Score 10.0 out of 10
Google Cloud AI
Google Cloud AI
Score 8.2 out of 10
Enterprises
Posit
Posit
Score 10.0 out of 10
Dataiku
Dataiku
Score 8.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google Cloud AIPachyderm
Likelihood to Recommend
8.0
(7 ratings)
-
(0 ratings)
Likelihood to Renew
10.0
(1 ratings)
-
(0 ratings)
Usability
8.0
(2 ratings)
-
(0 ratings)
Support Rating
7.3
(3 ratings)
-
(0 ratings)
Implementation Rating
10.0
(1 ratings)
-
(0 ratings)
User Testimonials
Google Cloud AIPachyderm
Likelihood to Recommend
Google
Google Cloud AI is a wonderful product for companies that are looking to offset AI and ML processing power to cloud APIs, and specific Machine Learning use cases to APIs as well. For companies that are looking for very specific, customized ML capabilities that require lots of fine-tuning, it may be better to do this sort of processing through open-source libraries locally, to offset the costs that your company might incur through this API usage.
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Pachyderm
No answers on this topic
Pros
Google
  • good conversion from the voice to the text
  • speed in the conversion from voice to text
  • time-saving in the conversion activity
  • analysis of the results of the conversion in real time
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Pachyderm
No answers on this topic
Cons
Google
  • Some of the build in/supported AI modules that can be deployed, for example Tensorflow, do not have up-to-date documentation so what is actually implemented in the latest rev is not what is mentioned in the documentation, resulting in a lot of debugging time.
  • Customization of existing modules and libraries is harder and it does need time and experience to learn.
  • Google Cloud AI can do a better job in providing better support for Python and other coding languages.
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Pachyderm
No answers on this topic
Likelihood to Renew
Google
We are extremely satisfied with the impact that this tool has made on our organization since we have practically moved from crawling to walking in the process of generating information for our main task to investigate in the field through interviews. With the audio to text translation tool there is a difference from heaven to earth in the time of feeding our internal data.
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Pachyderm
No answers on this topic
Usability
Google
I give 8 because although it´s a tool I really enjoy working with, I think Google Cloud AI's impact is just starting, therefore I can visualize a lot/space of improvements in this tool. As an example the application of AI in international environments with different languages is a good example of that space/room to improve.
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Pachyderm
No answers on this topic
Support Rating
Google
Every rep has been nice and helpful whenever I call for help. One of the systems froze and wouldn't start back up and with the help of our assigned rep we got everything back up in a timely manner. This helped us not lose customers and money.
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Pachyderm
No answers on this topic
Implementation Rating
Google
In fact, you only need the basic tech knowledge to do a Google search. You need to know if your organization requires it or not,. our organization required it. And that is why we acquired it and solved a need that we had been suffering from. This is part of the modernization of an organization and part of its growth as a company.
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Pachyderm
No answers on this topic
Alternatives Considered
Google
These are basic tools although useful, you can't simply ignore them or say they are not good. These tools also have their own values. But, Yes, Google is an advanced one, A king in the field of offering a wide range of tools, quality, speed, easy to use, automation, prebuild, and cost-effective make them a leader and differentiate them from others.
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Pachyderm
No answers on this topic
Return on Investment
Google
  • Artificial intelligence and automation seems 'free' and draws the organization in, without seeming to spend a lot of funds. A positive impact, but who is actually tracking the cost?
  • We want our employees to use it, but many resist technology or are scared of it, so we need a way to make them feel more comfortable with the AI.
  • The ROI seems positive since we are full in with Google, and the tools come along with the functionality.
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Pachyderm
No answers on this topic
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