What users are saying about
19 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>Score 7.9 out of 100
Based on 19 reviews and ratings
24 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>Score 8.5 out of 100
Based on 24 reviews and ratings
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.
Owner, previous CEO
Econometric StudiosFinancial Services, 11-50 employees
Databricks Unified Analytics 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.

Verified User
Team Lead in Engineering
Financial Services Company, 10,001+ employeesFeature Rating Comparison
Platform Connectivity
Amazon SageMaker
—
Databricks Unified Analytics Platform
8.3
Connect to Multiple Data Sources
Amazon SageMaker
—
Databricks Unified Analytics Platform
9.0
Extend Existing Data Sources
Amazon SageMaker
—
Databricks Unified Analytics Platform
9.0
Automatic Data Format Detection
Amazon SageMaker
—
Databricks Unified Analytics Platform
7.0
Data Exploration
Amazon SageMaker
—
Databricks Unified Analytics Platform
6.0
Visualization
Amazon SageMaker
—
Databricks Unified Analytics Platform
6.0
Interactive Data Analysis
Amazon SageMaker
—
Databricks Unified Analytics Platform
6.0
Data Preparation
Amazon SageMaker
—
Databricks Unified Analytics Platform
8.0
Interactive Data Cleaning and Enrichment
Amazon SageMaker
—
Databricks Unified Analytics Platform
8.0
Data Transformations
Amazon SageMaker
—
Databricks Unified Analytics Platform
9.0
Data Encryption
Amazon SageMaker
—
Databricks Unified Analytics Platform
7.0
Built-in Processors
Amazon SageMaker
—
Databricks Unified Analytics Platform
8.0
Platform Data Modeling
Amazon SageMaker
—
Databricks Unified Analytics Platform
8.3
Multiple Model Development Languages and Tools
Amazon SageMaker
—
Databricks Unified Analytics Platform
9.0
Automated Machine Learning
Amazon SageMaker
—
Databricks Unified Analytics Platform
8.0
Single platform for multiple model development
Amazon SageMaker
—
Databricks Unified Analytics Platform
9.0
Self-Service Model Delivery
Amazon SageMaker
—
Databricks Unified Analytics Platform
7.0
Model Deployment
Amazon SageMaker
—
Databricks Unified Analytics Platform
7.5
Flexible Model Publishing Options
Amazon SageMaker
—
Databricks Unified Analytics Platform
7.0
Security, Governance, and Cost Controls
Amazon SageMaker
—
Databricks Unified Analytics 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.

Verified User
Employee in Human Resources
Real Estate Company, 1001-5000 employeesDatabricks Unified Analytics Platform
- Extremely Flexible in Data Scenarios
- Fantastic Performance
- DB is always updating the system so we can have latest features.

Verified User
Director in Information Technology
Financial Services Company, 201-500 employeesCons
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.

Verified User
Employee in Research & Development
Computer Software Company, 501-1000 employeesDatabricks Unified Analytics 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.
Freelance Translator
ZOO Digital Group plcEntertainment, 501-1000 employees
Usability
Amazon SageMaker
No score
No answers yet
No answers on this topic
Databricks Unified Analytics Platform
Databricks Unified Analytics 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

Verified User
Team Lead in Engineering
Financial Services Company, 10,001+ employeesAlternatives 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.

Verified User
Professional in Legal
Legal Services Company, 51-200 employeesDatabricks Unified Analytics Platform
Easier to set up and get started. Less of a learning curve.

Verified User
Director in Engineering
Financial Services Company, 10,001+ employeesReturn 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.
Data Scientist
Wonder (AskWonder.com)Research, 11-50 employees
Databricks Unified Analytics 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

Verified User
Strategist in Engineering
Computer Hardware Company, 10,001+ employeesPricing Details
Amazon SageMaker
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No
Databricks Unified Analytics Platform
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No