Amazon SageMaker vs Zepl comparison

Amazon Web Services (AWS) and DataRobot are both solutions in the Data Science Platforms category. Amazon Web Services (AWS) is ranked #3 with an average rating of 8.0, while DataRobot is ranked #52. Amazon Web Services (AWS) holds a 6.2% mindshare in Data Science Platforms, compared to DataRobot’s 0.1% mindshare. Additionally, 91% of Amazon Web Services (AWS) users are willing to recommend the solution.

Amazon SageMaker

Read 37 Amazon SageMaker reviews

4,738 Views
1,603 Comparison Views

91% willing to recommend

Zepl

60 Views
17 Comparison Views

Amazon SageMaker

Zepl

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Executive Summary

We performed a comparison between Amazon SageMaker and Zepl based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Knime, Amazon Web Services (AWS) and others in Data Science Platforms.

To learn more, read our detailed Data Science Platforms Report (Updated: June 2025).

Buyer's Guide

Data Science Platforms

June 2025

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Helped 859,687 peers since 2012

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

7.1

Number of Reviews

Ranking in other categories

AI Development Platforms (5th)

Zepl

Ranking in Data Science Platforms

52nd

Average Rating

0.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2025, in the Data Science Platforms category, the mindshare of Amazon SageMaker is 6.2%, down from 9.3% compared to the previous year. The mindshare of Zepl is 0.1%, up from 0.1% 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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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

12%

Manufacturing Company

Educational Organization

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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...

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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...

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Comparisons

Databricks vs Amazon SageMaker

Compared 12% of the time

Dataiku vs Amazon SageMaker

Compared 12% of the time

Azure OpenAI vs Amazon SageMaker

Compared 11% of the time

Google Vertex AI vs Amazon SageMaker

Compared 9% of the time

DataRobot vs Amazon SageMaker

Compared 8% of the time

More Amazon SageMaker Competitors

No data available

Product Reports

Buyer's Guide

Amazon SageMaker

June 2025

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Buyer's Guide

Data Science Platforms

June 2025

Download Zepl 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)

Zepl enables data science teams to rapidly explore, analyze and collaborate around their cloud data. In just minutes, Zepl brings machine learning at scale to data scientists, data engineers, data analysts, team managers and executives. Used by high tech, financial services, pharmaceutical, IoT, and automotive companies, Zepl changes the game by automating model-driven insights in a highly secure manner. Zepl rapidly accelerates experimentation, frictionless collaboration, training of ML models, and transforms customers from reactive to proactive enterprises through the use of powerful machine learning insights. Try Zepl for free today at www.zepl.com.

DataRobot

Sample Customers

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

Samsung, Boulder, American Express, AT & T, Bank-Of-America, Charles Schwab, Cisco, Citi, Comcast

Buyer's Guide

Data Science Platforms

June 2025

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859,687 professionals have used our research since 2012.

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