Amazon SageMaker vs Anaconda Business comparison

Amazon Web Services (AWS) and Anaconda are both solutions in the Data Science Platforms category. Amazon Web Services (AWS) is ranked #3 with an average rating of 8.0, while Anaconda is ranked #11 with an average rating of 8.7. Amazon Web Services (AWS) holds a 6.1% mindshare in Data Science Platforms, compared to Anaconda’s 2.1% mindshare. Additionally, 91% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 95% of Anaconda users who would recommend it.

Amazon SageMaker

Read 38 Amazon SageMaker reviews

7,321 Views
4,393 Comparison Views

91% willing to recommend

Anaconda Business

Read 19 Anaconda Business reviews

1,619 Views
1,214 Comparison Views

95% willing to recommend

Amazon SageMaker

Anaconda Business

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 27, 2025

Anaconda Business and Amazon SageMaker compete in the machine learning and data science sectors. Amazon SageMaker holds an edge with its advanced features, despite Anaconda Business being favored for pricing and support.

Features: Anaconda Business focuses on seamless package management, collaboration, and simplicity. Amazon SageMaker emphasizes automated machine learning, comprehensive integration, and scalability.

Room for Improvement: Anaconda Business could enhance automation capabilities and scalability, and integrate more seamlessly with cloud platforms. Amazon SageMaker might improve user interface simplicity, offer more cost-effective options, and enhance offline capabilities.

Ease of Deployment and Customer Service: Anaconda Business offers straightforward setup and robust community-driven support, making it suitable for smaller teams or individual data scientists. Amazon SageMaker provides a robust deployment model with extensive AWS support suitable for enterprise-level solutions.

Pricing and ROI: Anaconda Business is a cost-effective solution with high ROI for budget-conscious teams. Amazon SageMaker, though more expensive, provides value through its extensive features and integration, offering significant ROI for large-scale operations demanding comprehensive machine learning capabilities.

To learn more, read our detailed Amazon SageMaker vs. Anaconda Business Report (Updated: July 2025).

Buyer's Guide

Amazon SageMaker vs. Anaconda Business

July 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon SageMaker

Ranking in Data Science Platforms

3rd

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

AI Development Platforms (5th)

Anaconda Business

Ranking in Data Science Platforms

11th

Average Rating

8.2

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the Data Science Platforms category, the mindshare of Amazon SageMaker is 6.1%, down from 8.8% compared to the previous year. The mindshare of Anaconda Business is 2.1%, up from 2.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

Create innovative assistants with seamless data integration for large-scale projects

The various integration options available in Amazon SageMaker ( /products/amazon-sagemaker-reviews ), such as Firehose for connecting to data pipelines, are simple to use. Tools like AWS Glue ( /products/aws-glue-reviews ) integrate well for data transformations. The Databricks ( /products/databricks-reviews ) integration aids data scientists and engineers. SageMaker is fully managed, offers high availability, flexibility with TensorFlow ( /products/tensorflow-reviews ), PyTorch ( /products/pytorch-reviews ), and MXNet ( /products/mxnet-reviews ), and comes with pre-trained algorithms for forecasting, anomaly detection, and more.

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Rohan Sharma

AI/ML Co-Lead at Developer Student Clubs - GGV

Provides all the frameworks and makes it easy to create environments for multiple projects

The best thing is that it provides all the frameworks and makes it easy to create environments for multiple projects using Anaconda. It is easy for a beginner to learn to use Anaconda. Comparatively, it is easier than using virtual environments or other environments because of the Conda environment. However, there are many things in Anaconda that people need to be aware of, so it can be challenging.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The deployment is very good, where you only need to press a few buttons."

"We were able to use the product to automate processes."

"The most valuable feature of Amazon SageMaker for me is the model deployment service."

"The tool has made client management easier where patients need to upload their health records and we can use the tool to understand details on treatment date, amount, etc."

"Amazon SageMaker is highly valuable for managing ML workloads. It connects to AWS cloud resources, making it easy to deploy algorithms and collaborate using tools like GitLab. It offers a wide range of Python libraries and other necessary tools for modelling and algorithms."

"The technical support from AWS is excellent."

"The Autopilot feature is really good because it's helpful for people who don't have much experience with coding or data pipelines. When we suggest SageMaker to clients, they don't have to go through all the steps manually. They can leverage Autopilot to choose variables, run experiments, and monitor costs. The results are also pretty accurate."

"SageMaker offers functionalities like Jupyter Notebooks for development, built-in algorithms, model tuning, and options to deploy models on managed infrastructure."

More Amazon SageMaker pros

"Anaconda is an open-source platform that can integrate numerous other kits and models in one place."

"I can use Anaconda for non-heavy tasks."

"With Anaconda Navigator, we have been able to use multiple IDEs such as JupyterLab, Jupyter Notebook, Spyder, Visual Studio Code, and RStudio in one place. The platform-agnostic package manager, "Conda", makes life easy when it comes to managing and installing packages."

"The solution is stable."

"The virtual environment is very good."

"It's interesting. It's user friendly. That's what makes it outstanding among the others. It has a collection of R, Python, and others. Their platform strategy has a collection of many other visualization tools, apart from Spyder and RStudio, which is really helpful for data science. For any data science professional, Anaconda is really handy. It has almost all the tools for data science."

"Voice Configuration and Environmental Management Capabilities are the most valuable features."

"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."

More Anaconda Business pros

Cons

"The platform could be more accessible to users with basic coding skills, making it more intuitive and easier for beginners to use comfortably."

"Amazon SageMaker could improve in the area of hyperparameter tuning by offering more automated suggestions and tips during the tuning process."

"Improvement is needed in the no-code and low-code capabilities of Amazon SageMaker."

"The user interface (UI) and user experience (UX) of SageMaker and AWS, in general, need improvement as they are not intuitive and require substantial time to learn how to use specific services."

"I had to create custom templates for labeling multi-data sets, such as text and images, which was time-consuming."

"Amazon SageMaker can make it simpler to manage the data flow from start to finish, such as by integrating data, usingthe machine, and deploying models. This process could be more user-friendly compared to other tools. I would also like to improve integration with Bedrock and the LLM connection for AWS."

"Improvement is needed in the no-code and low-code capabilities of Amazon SageMaker. This would empower citizen data scientists to utilize the tool more effectively since many data scientists do not have a core development background."

"The documentation must be made clearer and more user-friendly."

More Amazon SageMaker cons

"One thing that hurts the product is that the company is not doing more to advertise it as a solution and make it more well known."

"The solution would benefit from offering more automation."

"Having a small guide or video on the tool would help learn how to use it and what the features are."

"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."

"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."

"When you install Anaconda for the first time, it's really difficult to update it."

"One feature that I would like to see is being able to use a different language in a different cell, which would allow me to mix R and Python together."

"Anaconda consumes a significant amount of processing memory when working on it."

More Anaconda Business cons

Pricing and Cost Advice

"The product is expensive."

"The support costs are 10% of the Amazon fees and it comes by default."

"The tool's pricing is reasonable."

"I rate the pricing a five on a scale of one to ten, where one is the lowest price, and ten is the highest price. The solution is priced reasonably. There is no additional cost to be paid in excess of the standard licensing fees."

"I would rate the solution's price a ten out of ten since it is very high."

"The pricing is comparable."

"On average, customers pay about $300,000 USD per month."

"In terms of pricing, I'd also rate it ten out of ten because it's been beneficial compared to other solutions."

More Amazon SageMaker pricing and cost advice

"The licensing costs for Anaconda are reasonable."

"My company uses the free version of the tool. There is also a paid version of the tool available."

"The product is open-source and free to use."

"The tool is open-source."

"Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks."

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

11%

Manufacturing Company

University

Financial Services Firm

19%

Manufacturing Company

Computer Software Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...

See all answers

What do you like most about Amazon SageMaker?

We've had experience with unique ML projects using SageMaker. For example, we're developing a platform similar to ChatGPT that requires models. We utilize Amazon SageMaker to create endpoints for t...

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What is your experience regarding pricing and costs for Amazon SageMaker?

The pricing is high, around an eight. However, SageMaker offers free trials for the first two months, allowing users to determine which features they need. It is considered value for money given it...

See all answers

What do you like most about Anaconda?

The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors.

See all answers

What is your experience regarding pricing and costs for Anaconda?

Anaconda is an open-source tool, so I do not pay anything for it. It is compatible with every tool, regardless of whether it is open source or a paid package.

See all answers

What needs improvement with Anaconda?

There is room for improvement, especially regarding deployment. The process could be streamlined as the number of actions needed to deploy is quite large compared to other tools.

See all answers

Comparisons

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Google Vertex AI vs Amazon SageMaker

Compared 8% of the time

Microsoft Azure Machine Learning Studio vs Amazon SageMaker

Compared 3% of the time

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Databricks vs Anaconda Business

Compared 25% of the time

Microsoft Power BI vs Anaconda Business

Compared 15% of the time

IBM SPSS Statistics vs Anaconda Business

Compared 7% of the time

Google Cloud Datalab vs Anaconda Business

Compared 7% of the time

KNIME Business Hub vs Anaconda Business

Compared 5% of the time

More Anaconda Business Competitors

Product Reports

Buyer's Guide

Amazon SageMaker

August 2025

Download Amazon SageMaker product report

Buyer's Guide

Anaconda Business

August 2025

Download Anaconda Business product report

Also Known As

AWS SageMaker, SageMaker

No data available

Overview

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.

Amazon Web Services (AWS)

Anaconda Business provides a comprehensive platform for data science applications, integrating extensive libraries and seamless Python and R compatibility, enhancing developer productivity.

Anaconda Business offers data science professionals a platform combining extensive library support with pre-built models and seamless integration of Python and R environments. With features like a user-friendly interface and integrated Jupyter Notebook, it facilitates real-time code execution and debugging. Environmental management is simplified via Conda, while cloud-based access and package management enhance user experience. Community support and integration with applications like RStudio and Jupyter aid in data science and deep learning tasks.

What are the key features of Anaconda Business?

Extensive Library Support: Access numerous libraries for enhanced development capabilities.
Seamless Python and R Integration: Foster productivity through combined language support.
Cloud-Based Access: Facilitate collaboration and accessibility across teams.
Jupyter Notebook Integration: Enable real-time code execution and debugging.
Conda Environment Management: Simplify setup and management of environments.

What benefits should be considered in Anaconda Business?

Efficient Development: Streamline workflows with comprehensive tool integration.
Enhanced Collaboration: Utilize cloud-based tools for teamwork and data sharing.
Scalability: Adapt to growing workloads with robust capabilities.
Community Support: Leverage community expertise for solutions and troubleshooting.

Anaconda Business is widely used in industries like machine learning and data analysis, where it's employed for tasks such as predictive modeling and data visualization. Organizations utilize its compatibility with tools like Scikit-learn and TensorFlow for creating statistical models, supporting applications in fields such as analytics, education, subrogation, and warehouse management.

Anaconda

Sample Customers

DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit

LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone

Buyer's Guide

Amazon SageMaker vs. Anaconda Business

July 2025

Free Report: Amazon SageMaker vs. Anaconda Business

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