# Pachyderm Reviews
**Vendor:** Pachyderm  
**Category:** [MLOps Platforms](https://www.g2.com/categories/mlops-platforms)  
**Average Rating:** 4.4/5.0  
**Total Reviews:** 14
## About Pachyderm
Pachyderm is cost-effective at scale, enabling data engineering teams to automate complex pipelines with sophisticated data transformations across any type of data. Our unique approach provides parallelized processing of multi-stage, language-agnostic pipelines with data versioning and data lineage tracking. Pachyderm delivers the ultimate CI/CD engine for data.




## Pachyderm Reviews
  ### 1. Pachyderm: The Open-Source Platform for Big Data Processing and Machine Learning

**Rating:** 5.0/5.0 stars

**Reviewed by:** Faizan M. | Mid-Market (51-1000 emp.)

**Reviewed Date:** February 13, 2023

**What do you like best about Pachyderm?**

With its container-based architecture, Pachyderm is designed to handle large amounts of data efficiently by allowing computations to be easily scaled across a cluster of machines. As an open-source platform, Pachyderm is available to a wide range of users and has a thriving community of developers who contribute to its growth and development.

**What do you dislike about Pachyderm?**

Pachyderm can present a challenge to some users, particularly those without experience in big data processing or container-based architecture. Despite integration with some widely used big data tools, Pachyderm's technology ecosystem is relatively limited compared to others, which may restrict its compatibility with some tools and technologies.

**What problems is Pachyderm solving and how is that benefiting you?**

Pachyderm's use of containers allows for computations to be easily expanded across multiple machines, making it efficient at processing big data. It works well with many well-known big data tools, making integration into existing systems and technologies smoother. Being open-source, Pachyderm is available to a lot of users and has a strong community of developers continuously improving and growing the platform.

  ### 2. Pachyderm eases MLOps for model lineage and version control

**Rating:** 4.5/5.0 stars

**Reviewed by:** Soumo C. | Solutions Architect, Enterprise (> 1000 emp.)

**Reviewed Date:** October 27, 2022

**What do you like best about Pachyderm?**

Pachyderm eases the MLOPs for Data Scientists and Data/ML Engineers to a great extent. Its key strength lies in tracking model lineage & version control that no other tool offers so seamlessly and in a simplified UI. It now offers model pipeline where you may run model experiments from a singular user interface.

**What do you dislike about Pachyderm?**

There must be a free-to-use subscription since community edition does not provides all of the functions as compared to the enterprise edition. The free-to-use edition must provide all the features in limited capability to evaluate the product and the enterprise edition must have unlimited access and runtime to all the features. Maybe in future, Pachyderm may design a single product stack that meets the requirements of end to end MLOps including model build, train, serve, deploy and monitor along with CI/CD pipelines.

**What problems is Pachyderm solving and how is that benefiting you?**

I use pachyderm in my MLOps track to maintain the lineage of production models for the AI pipeline. Roll back models as and when needed  with built in version control. Models of different versions can be implemented using the model lineage functionality. We have deployed several use cases using the model lineage feature of Pachyderm.

  ### 3. Excellent tool

**Rating:** 5.0/5.0 stars

**Reviewed by:** Maneesh G. | Product Owner, Mid-Market (51-1000 emp.)

**Reviewed Date:** November 30, 2022

**What do you like best about Pachyderm?**

Pachyderm satisfies stringent data governance standards, helps companies get their ML and AI initiatives to market more quickly, and lowers the cost of data processing and storage.

**What do you dislike about Pachyderm?**

The drawback is that Pachyderm had a lot of commits. Using lineage and provenance reasoning was more challenging because every label modification resulted in a new data commit.

**What problems is Pachyderm solving and how is that benefiting you?**

Pachyderm has saved me considerable time and money in data pipelines. It is easier and faster to manage  ML lifecycle data activities to be operationalized. It enabled our data science teams to expand and automate their machine learning lifecycle while ensuring reproducibility.

  ### 4. Nice tool to begin ML

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Information Services | Enterprise (> 1000 emp.)

**Reviewed Date:** October 31, 2022

**What do you like best about Pachyderm?**

I was trying to learn ML and then came across Pachyderm, its has a great and intuitive UI that helps to understand the various feature it offers including pipeline, version control, lineage, workflows, etc. Very neatly designed product for a good beginning of ML.

**What do you dislike about Pachyderm?**

Whatever I have explored so far is great but there were times I was trying to get support for some of the issues I faced. There is a community but wish I had some chat options to get instance support from the product engineers. That would have been a great option!

**What problems is Pachyderm solving and how is that benefiting you?**

I was trying to learn how model pipeline works and how different model versions can co-exist with features of promoting or demoting a model to/from production. The interface is pretty easy to grasp the fundamentals of model pipeline and versioning.

  ### 5. Model lineage and versioning - the best combo

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.)

**Reviewed Date:** October 28, 2022

**What do you like best about Pachyderm?**

The product provides a one-stop solution to manage model lineage and model versioning. This is one of the key ask for enterprises leveraging MLOps pipelines. The model pipeline is also one of a great feature that Pachyderm offers.

**What do you dislike about Pachyderm?**

The license aspect is something that needs to be looked into from a wider adoption point of view. It should also bring in features related to data catalog and enrich the observability for model performance and platform. I would also like to see the product being offered in marketplaces of major cloud providers for early and quick adoption to wider use base.

**What problems is Pachyderm solving and how is that benefiting you?**

We were trying to build a version controlled model pipeline and leverage the model lineage functionality for one of the customer PoC. The model version control was a key requirement that was well accomplished by Pachyderm.

  ### 6. Best at automating complex pipelines

**Rating:** 4.0/5.0 stars

**Reviewed by:** Ayush P. | Application Development Analyst, Mid-Market (51-1000 emp.)

**Reviewed Date:** August 14, 2022

**What do you like best about Pachyderm?**

To provide a meaningful platform to automate pipelines. Adapts on the change of data, cost effective, working on multiple language and platforms are some perks of pachyderm.

**What do you dislike about Pachyderm?**

Implementing is tough and can require skillset to properly use it.
However, it's good for data driven parameters, having a data at first is difficult, so, not good for a majority of projects.

**What problems is Pachyderm solving and how is that benefiting you?**

Providing a pipeline for a majority of coding laguages, for an example python which is very beneficial for the project. Adpating with the data change will help in latest details with perfection.

  ### 7. Finally, universal tool across languages and use cases

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Events Services | Mid-Market (51-1000 emp.)

**Reviewed Date:** August 11, 2022

**What do you like best about Pachyderm?**

Pachyderm is disrupting (at least for our needs) approach on data management. For us, game changer was definitely auto trigger that allows for flexible adjustment based on data changes.

**What do you dislike about Pachyderm?**

We feel that the product is still in relatively young phase of development. There are definitely some of the features missing, especielly with more exotic languages, but I think that the product team know their staff and I'm sure (or hope) that backlog is being addressed

**What problems is Pachyderm solving and how is that benefiting you?**

As mentioned above, automated, fully data-driven environment for various data transformation with lineage and versioning. There are three main benefits in our organisation: more efficiency in development, shorter time to debug and ultimately reduction of cost.

  ### 8. Best Git-like tool for your data

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Computer Networking | Small-Business (50 or fewer emp.)

**Reviewed Date:** August 14, 2022

**What do you like best about Pachyderm?**

Ability to keep branches of your data sets when you are testing new transformation pipelines.
Also, the use of native python support is just way too powerful and unique to this tool.

**What do you dislike about Pachyderm?**

Too much overhead in certain scenarios and overcomplicated for some infrastructures. And Since it's storage heavy for processing multiple versions of data, it is a big pain point from a financial perspective.

**What problems is Pachyderm solving and how is that benefiting you?**

It manages data transformation and is much more relaxing in computation overhead. It's best for incremental data processing as it is less computation-heavy. It is unrivaled in its feature set and provides the best data versioning and data storage patterns.

  ### 9. A quick review of Pachyderm

**Rating:** 4.5/5.0 stars

**Reviewed by:** Yash J. | Application Development Associate, Enterprise (> 1000 emp.)

**Reviewed Date:** August 10, 2022

**What do you like best about Pachyderm?**

Kubernetes powers Pachyderm which makes it efficient, highly scalable, portable and robust. It enables me to test my pipelines locally and scale them up to a large extent.

**What do you dislike about Pachyderm?**

In Pachyderm 1.x, there were frequent pipeline crashes which made it pretty hard to be used for developing research pipelines.

**What problems is Pachyderm solving and how is that benefiting you?**

Automating data change handling,which has reduced chances of error generated due to human intervention.

  ### 10. Configuration

**Rating:** 4.0/5.0 stars

**Reviewed by:** Aditya k. | Senior Consultant, Mid-Market (51-1000 emp.)

**Reviewed Date:** August 10, 2022

**What do you like best about Pachyderm?**

Keeps data sets up to date and delivers versioning of the data

**What do you dislike about Pachyderm?**

Steep learning curve as there are core concepts that needs to understood before using it

**What problems is Pachyderm solving and how is that benefiting you?**

Helping data science teams to operationalize the data tasks in their ML lifecycle

  ### 11. Flexible in nature

**Rating:** 4.0/5.0 stars

**Reviewed by:** Vibhu M. | Software Engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** August 10, 2022

**What do you like best about Pachyderm?**

It lets us preprocess different kinds of data and provides the ability to used different languages as well.

**What do you dislike about Pachyderm?**

Not beginner friendly. It doesn't lets you use of all features without buying the product.

**What problems is Pachyderm solving and how is that benefiting you?**

Automate preprocessing and data versioning.

  ### 12. Pachyderm is best software and a product

**Rating:** 5.0/5.0 stars

**Reviewed by:** Harshal P. | Technical Project Manager, Small-Business (50 or fewer emp.)

**Reviewed Date:** August 13, 2022

**What do you like best about Pachyderm?**

Especially its features, navigation , product cost, programming languages used to develop the software

**What do you dislike about Pachyderm?**

Sometimes the application becomes very slow because of network issues

**What problems is Pachyderm solving and how is that benefiting you?**

It is solving the problem of navigation,browser compatability

  ### 13. Decent Data!

**Rating:** 3.0/5.0 stars

**Reviewed by:** Jerome S. | Director of Auxiliary Programs, Mid-Market (51-1000 emp.)

**Reviewed Date:** September 28, 2021

**What do you like best about Pachyderm?**

It's a nice piece of software considering the ability to use a variety of language inputs.

**What do you dislike about Pachyderm?**

It'd be nice to have a more complete access without having to purchase beforehand.

**Recommendations to others considering Pachyderm:**

Investigate all available products, there may be a better option for your company

**What problems is Pachyderm solving and how is that benefiting you?**

Mostly conferencing needs

  ### 14. Awesome data management

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.)

**Reviewed Date:** September 02, 2021

**What do you like best about Pachyderm?**

The clean and easy way to version a dataset

**What do you dislike about Pachyderm?**

A little hard to get up and running in the beginning

**What problems is Pachyderm solving and how is that benefiting you?**

Main problem is version data to be able to recreate models


## Pachyderm Discussions
  - [What is pachyderm tool?](https://www.g2.com/discussions/what-is-pachyderm-tool) - 1 comment

- [View Pachyderm pricing details and edition comparison](https://www.g2.com/products/pachyderm/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-15+11%3A44%3A16+-0500&secure%5Bsession_id%5D=4fed4909-cf9c-444f-aa5e-e077117a1241&secure%5Btoken%5D=07cb2ec5d8960421469575cccd1440e3742cf1105cf057aa32825f7b0ccdc538&format=llm_user)

## Pachyderm Features
**Deployment**
- Language Flexibility
- Framework Flexibility
- Versioning
- Ease of Deployment
- Scalability

**Deployment**
- Language Flexibility
- Framework Flexibility
- Versioning
- Ease of Deployment
- Scalability

**Functionality**
- Automation
- Change validation
- Version control

**Management**
- Cataloging
- Monitoring
- Governing
- Model Registry

**Operations**
- Metrics
- Infrastructure management
- Collaboration

**Management**
- Visibility
- Rollbacks
- Post-deployment validation

**Management**
- Cataloging
- Monitoring
- Governing

**Generative AI**
- AI Text Generation
- AI Text Summarization

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