# Seldon Reviews
**Vendor:** Seldon  
**Category:** [MLOps Platforms](https://www.g2.com/categories/mlops-platforms)  
**Average Rating:** 4.3/5.0  
**Total Reviews:** 11
## About Seldon
Seldon gets machine learning models to production faster, in the most reliable way. Front-end deployment of models, explainers and canaries means users can deploy ML models and testing can be done in live environments. Metrics and dashboards can monitor models to improve performance and rapidly communicate errors for easy debugging. Model explainers mean you can understand and adjust what features are influencing the model and anomaly detection can flag drifts in data.




## Seldon Reviews
  ### 1. opting Seldon is good?

**Rating:** 4.0/5.0 stars

**Reviewed by:** Baratam V. | Microsoft Power apps developer, Mid-Market (51-1000 emp.)

**Reviewed Date:** August 10, 2022

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

The one thing in the seldon.io we can feel best like this platform has dedicated people and support to help while having any issue while deploying our model in the seldon.io

**What do you dislike about Seldon?**

As of now, I couldn't find any though the documentation can be improved and more demo sessions will be helpful for this seldon.io but they are still improving so couldn't say much

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

These seldon deployment servers are helping by giving us much speed more than 30%, this will help us while training the model in the cloud because we can't train that much huge data set in the local and this will be helpful for us to test the most after cross-folding the dataset.

  ### 2. Model deployment with Seldon

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Defense & Space | Enterprise (> 1000 emp.)

**Reviewed Date:** October 31, 2022

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

Seldon provides a seamless way to deploy models at scale and monitor them post deployment. The multi armed bandit function helps several models to be in action for larger user bases during the inferencing.

**What do you dislike about Seldon?**

Seldon must provide a packaged service on cloud hyperscalers so that model deployment and monitoring could be easily tied with the native cloud tools. Also appreciate if Seldon provides chat support for community users for quick technical help.

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

I was trying to build a MLOps platform on open source tool stack and seldon provided a great leverage to the platform as it comes bundled with so many great features. Model deployment and monitoring is something which I like the most. Exploring several other services at the moment to provide a detailed experience.

  ### 3. Increase efficiency of ML projects

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.)

**Reviewed Date:** November 10, 2022

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

The best part of Seldon is its a packaged offering in terms of model serving, model pipeline, model observability, model explainability and security packed in a single product.

**What do you dislike about Seldon?**

The Seldon community on Github has reported many issues, out of which several of them are open and closed. It's sometimes difficult to figure out a legitimate solution. Request Seldon to form a trusted site-based FAQ/Issues section where you find answers to most problems that come with different versions and use cases.

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

I was trying to learn and deploy model operations end to end, and I found this is the most comprehensive and satisfying tool out in the market, which can help you to take your models into production quickly.

  ### 4. Amazing Seldon Review

**Rating:** 5.0/5.0 stars

**Reviewed by:** Nikita B. | C, Enterprise (> 1000 emp.)

**Reviewed Date:** August 09, 2022

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

The best feature that I like about seldon is that it runs anywhere i.e on any cloud platform or on-premises. Also, it provides advanced machine learning capabilities and can handle scaling to thousand of production out of the box.

**What do you dislike about Seldon?**

Although being built on Kubernetes Seldon gets us all the reliablity and scal that Kubernetes is famous for too, at the same time it doesn't make sense to take ont he complexity for many people. It is also costilier than its competitors.

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

Seldon helps to solve problems faster and more effectively. It helps us to maintain the workflow with the help of features like continious integration and development, scaling, etc. It helps in deeper understanding of machine learning and helps to prioritize the challenges we face.

  ### 5. Best open source tool for model deployment and more...

**Rating:** 4.5/5.0 stars

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

**Reviewed Date:** November 03, 2022

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

Seldon integrates seamlessly with many open-source stacks like Kubeflow, MLFlow or any custom MLOps stack that requires model serving that includes deployment and monitoring as a core capability.

**What do you dislike about Seldon?**

Seldon needs to improvise the documentation. Many of the links opens up advanced topics related to model serving and workflow but again going further deeper into it shows 404 error. The community must evolve the documentation and keep it upto date.

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

The current use case involves ML workflow setup and CI/CD pipeline for the model serving. Custom monitoring involving performance metrics involved for the ML model.

  ### 6. Model graphs ease and scaling using seldon

**Rating:** 4.0/5.0 stars

**Reviewed by:** Prince N. | Assistant systems engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** August 09, 2022

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

Ease of use for developers making the learning curve less steep in comparison. Use by our data science teams confirm the finding , the open source nature again is an advantage.

**What do you dislike about Seldon?**

The ability to manage containers could be further improved. Comparatively less integrated with batch component. The requirment of a new operator for certain operations.

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

As stated above the ML use case coupled with the use by our data science teams. It lends itself to easy integration in our current project usecase. It increases productivity.

  ### 7. Best ML open-source model

**Rating:** 3.5/5.0 stars

**Reviewed by:** Shashank K. | Data Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** August 13, 2022

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

I like the way we can make complex inference graphs .. just like that!.also this principle they follow, build once deploy many..

**What do you dislike about Seldon?**

Troubleshooting is difficult as we have no specific function on top we can work.

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

It really helps to automate things which are more complex and manual processes. And it is very easy to see metrics and to trace solutions

  ### 8. ML Operations made easy with seldon

**Rating:** 3.5/5.0 stars

**Reviewed by:** Neelabh N. | Associate System Engineer, Small-Business (50 or fewer emp.)

**Reviewed Date:** August 11, 2022

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

Its very easy to deploy ml model with seldon, earlier it was quite a hectic process

**What do you dislike about Seldon?**

Till now it has been perfect tool for my need.

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

Seldon helps me to deploy my ml models to cloud

  ### 9. Best MLOps deployment software

**Rating:** 5.0/5.0 stars

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

**Reviewed Date:** August 09, 2022

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

The best software I can deploy my models and monitor in real-time and can easily, flexible adoption with different frameworks. can easily build great dashboards to observe interesting metrics.

**What do you dislike about Seldon?**

i have not found much of cons in the software

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

Efficient and proven trusted way to deploy the models which you can always trust to deploy timely needs.

  ### 10. Great tool for testing and monitoring

**Rating:** 4.5/5.0 stars

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

**Reviewed Date:** August 09, 2022

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

This software is very much inclusive which covers both machine and cloud learning technology , Very much affordable

**What do you dislike about Seldon?**

I didn't find any cons so far which is causing trouble in day to day activities

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

Research tab is widely integrated with open source python librariesand other directories which is quire helpful in performing testing

  ### 11. It's very nice amazing

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Architecture & Planning | Small-Business (50 or fewer emp.)

**Reviewed Date:** January 16, 2021

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

It's amazing content on machine learning and DevOps technology.

**What do you dislike about Seldon?**

Customer interaction delayed response
Clarification of certain topics

**Recommendations to others considering Seldon:**

Yes, please use this as a good platform to gain knowledge on leading technology.

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

Learning skills of machine learning and DevOps technology have helped me a lot.


## Seldon Discussions
  - [What is Seldon used for?](https://www.g2.com/discussions/what-is-seldon-used-for)

- [View Seldon pricing details and edition comparison](https://www.g2.com/products/seldon/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-14+15%3A12%3A28+-0500&secure%5Bsession_id%5D=289830cf-fcb4-4f2b-ab32-9bcaa705c057&secure%5Btoken%5D=52e0b1e847cec88387f56e6179be24bf0bd383a995f78a152c79896d5c4942bd&format=llm_user)

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

**System**
- Data Ingestion & Wrangling

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

**Model Development**
- Language Support
- Pre-Built Algorithms

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

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

**Machine/Deep Learning Services**
- Computer Vision
- Natural Language Processing
- Natural Language Generation
- Artificial Neural Networks

**Machine/Deep Learning Services**
- Natural Language Understanding
- Deep Learning

**Management**
- Cataloging
- Monitoring
- Governing

**Deployment**
- Application
- Scalability

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

**Generative AI**
- AI Text Generation
- AI Text Summarization
- AI Text-to-Image

**Agentic AI - Data Science and Machine Learning Platforms**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Proactive Assistance
- Decision Making

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