What users are saying about
21 Ratings
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Score 8.1 out of 100
24 Ratings
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Score 8.5 out of 100

Likelihood to Recommend

Amazon SageMaker

Amazon SageMaker is a great tool for developing machine learning models that take more effort than just point-and-click type of analyses. The software works well with the other tools in the Amazon ecosystem, so if you use Amazon Web Services or are thinking about it, SageMaker would be a great addition. SageMaker is great for consumer insights, predictive analytics, and looking for gems of insight in the massive amounts of data we create. SageMaker is less suitable for analysts who do generally "small" data analyses, and "small" data analyses in today's world can be billions of records.
Thomas Young | TrustRadius Reviewer

Databricks Lakehouse Platform

Databricks has helped my teams write PySpark and Spark SQL jobs and test them out before formally integrating them in Spark jobs. Through Databricks we can create parquet and JSON output files. Datamodelers and scientists who are not very good with coding can get good insight into the data using the notebooks that can be developed by the engineers.
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Amazon SageMaker
Databricks Lakehouse Platform
8.3
Connect to Multiple Data Sources
Amazon SageMaker
Databricks Lakehouse Platform
9.0
Extend Existing Data Sources
Amazon SageMaker
Databricks Lakehouse Platform
9.0
Automatic Data Format Detection
Amazon SageMaker
Databricks Lakehouse Platform
7.0

Data Exploration

Amazon SageMaker
Databricks Lakehouse Platform
6.0
Visualization
Amazon SageMaker
Databricks Lakehouse Platform
6.0
Interactive Data Analysis
Amazon SageMaker
Databricks Lakehouse Platform
6.0

Data Preparation

Amazon SageMaker
Databricks Lakehouse Platform
8.0
Interactive Data Cleaning and Enrichment
Amazon SageMaker
Databricks Lakehouse Platform
8.0
Data Transformations
Amazon SageMaker
Databricks Lakehouse Platform
9.0
Data Encryption
Amazon SageMaker
Databricks Lakehouse Platform
7.0
Built-in Processors
Amazon SageMaker
Databricks Lakehouse Platform
8.0

Platform Data Modeling

Amazon SageMaker
Databricks Lakehouse Platform
8.3
Multiple Model Development Languages and Tools
Amazon SageMaker
Databricks Lakehouse Platform
9.0
Automated Machine Learning
Amazon SageMaker
Databricks Lakehouse Platform
8.0
Single platform for multiple model development
Amazon SageMaker
Databricks Lakehouse Platform
9.0
Self-Service Model Delivery
Amazon SageMaker
Databricks Lakehouse Platform
7.0

Model Deployment

Amazon SageMaker
Databricks Lakehouse Platform
7.5
Flexible Model Publishing Options
Amazon SageMaker
Databricks Lakehouse Platform
7.0
Security, Governance, and Cost Controls
Amazon SageMaker
Databricks Lakehouse Platform
8.0

Pros

Amazon SageMaker

  • Provides enough freedom for experienced data scientists and also for those who just need things done without going much deeper into building models.
  • Customization and easy to alter and change.
  • If you already are an Amazon user, you do not need to transition over to another software.
Anonymous | TrustRadius Reviewer

Databricks Lakehouse Platform

  • Extremely Flexible in Data Scenarios
  • Fantastic Performance
  • DB is always updating the system so we can have latest features.
Anonymous | TrustRadius Reviewer

Cons

Amazon SageMaker

  • It's very good for the hardcore programmer, but a little bit complex for a data scientist or new hire who does not have a strong programming background.
  • Most of the popular library and ML frameworks are there, but we still have to depend on them for new releases.
Anonymous | TrustRadius Reviewer

Databricks Lakehouse Platform

  • The navigation through which one would create a workspace is a bit confusing at first. It takes a couple minutes to figure out how to create a folder and upload files since it is not the same as traditional file systems such as box.com
  • Also, when you create a table, if you forgot to copy the link where the table is stored, it is hard to relocate it. Most of the time I would have to delete the table and re-created.
Ann Le | TrustRadius Reviewer

Usability

Amazon SageMaker

No score
No answers yet
No answers on this topic

Databricks Lakehouse Platform

Databricks Lakehouse Platform 9.0
Based on 1 answer
This has been very useful in my organization for shared notebooks, integrated data pipeline automation and data sources integrations. Integration with AWS is seamless. Non tech users can easily learn how to use Databricks. You can have your company LDAP connect to it for login based access controls to some extent
Anonymous | TrustRadius Reviewer

Alternatives Considered

Amazon SageMaker

Amazon SageMaker took the heavy lifting out of building and creating models. It allowed for our organization to use our current system for integration and essentially added on a feature to help all levels of Data scientists and IT professionals in our department and company as a whole. The training was simple as well.
Anonymous | TrustRadius Reviewer

Databricks Lakehouse Platform

Easier to set up and get started. Less of a learning curve.
Anonymous | TrustRadius Reviewer

Return on Investment

Amazon SageMaker

  • We have been able to deliver data products more rapidly because we spend less time building data pipelines and model servers.
  • We can prototype more rapidly because it is easy to configure notebooks to access AWS resources.
  • For our use-cases, serving models is less expensive with SageMaker than bespoke servers.
Gavin Hackeling | TrustRadius Reviewer

Databricks Lakehouse Platform

  • Rapid growth of analytics within our company.
  • Cost model aligns with usage allowing us to make a reasonable initial investment and scale the cost as we realize the value.
  • Platform is easy to learn and Databricks provides excellent support and training.
  • Platform does not require a large DevOPs investment
Anonymous | TrustRadius Reviewer

Pricing Details

Amazon SageMaker

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Amazon SageMaker Editions & Modules

Additional Pricing Details

Databricks Lakehouse Platform

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Databricks Lakehouse Platform Editions & Modules

Edition
Standard$0.071
Premium$0.101
Enterprise$0.131
  1. Per DBU
Additional Pricing Details

Rating Summary

Likelihood to Recommend

Amazon SageMaker
9.9
Databricks Lakehouse Platform
8.9

Usability

Amazon SageMaker
Databricks Lakehouse Platform
9.0

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