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Compare Amazon SageMaker and Databricks Data Intelligence Platform 
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At a Glance
Market Segments
Small-Business (33.3% of reviews)
Enterprise (46.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Amazon SageMaker
Star Rating
(45)4.3 out of 5
Market Segments
Small-Business (33.3% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Amazon SageMakerDatabricks Data Intelligence Platform
Star Rating
(626)4.6 out of 5
Market Segments
Enterprise (46.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that the Databricks Data Intelligence Platform excels in Workflow Management with a score of 9.3, while Amazon SageMaker has a slightly lower score of 8.6. Reviewers mention that Databricks' intuitive interface allows for seamless orchestration of complex workflows, making it a preferred choice for enterprises.
- Reviewers mention that Amazon SageMaker shines in Model Training with a score of 8.9, compared to Databricks' score of 8.7. Users on G2 appreciate SageMaker's robust support for various machine learning frameworks, which enhances flexibility during model development.
- Users say that Databricks offers superior Data Lake Analytics capabilities with a score of 9.1, while SageMaker scores 8.8. Reviewers highlight that Databricks' integration with Apache Spark allows for efficient processing of large datasets, which is crucial for data-driven decision-making.
- G2 users report that Amazon SageMaker provides better Managed Service options with a score of 9.5, compared to Databricks' score of 8.4. Users appreciate SageMaker's ease of use in deploying machine learning models without extensive infrastructure management.
- Reviewers mention that Databricks has a more comprehensive Data Governance framework, scoring 9.1, while SageMaker scores 9.2. Users report that Databricks' features for data lineage and auditing are particularly beneficial for compliance-heavy industries.
- Users on G2 say that Amazon SageMaker excels in Natural Language Processing with a score of 9.0, while Databricks scores 8.5. Reviewers highlight SageMaker's pre-built algorithms and tools that simplify the development of NLP applications, making it a strong contender for businesses focused on language-based AI solutions.
Pricing
Entry-Level Pricing
Amazon SageMaker
No pricing availableDatabricks Data Intelligence Platform
No pricing availableFree Trial
Amazon SageMaker
No trial information availableDatabricks Data Intelligence Platform
Free Trial is available
Ratings
Meets Requirements
8.6
37
8.9
512
Ease of Use
8.4
38
8.8
521
Ease of Setup
8.5
25
8.6
394
Ease of Admin
8.4
20
8.3
169
Quality of Support
8.6
33
8.7
487
Has the product been a good partner in doing business?
9.2
20
8.8
172
Product Direction (% positive)
9.0
36
9.6
500
Features by Category
Reports
Not enough data
7.5
6
Not enough data
7.5
6
Not enough data
7.8
6
Not enough data
7.7
5
Not enough data
8.0
5
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling and Blending
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Self Service
Not enough data
7.5
6
Not enough data
7.2
6
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
7.5
6
Not enough data
7.3
5
Deployment & Integration - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics
Not enough data
8.1
6
Not enough data
8.0
5
Not enough data
8.3
5
Performance & Scalability - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Personalized Intelligence - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
Not enough data
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
Administration
Not enough data
8.8
92
Not enough data
8.6
89
Not enough data
9.0
90
Not enough data
8.6
91
Management
Not enough data
8.5
84
Not enough data
8.7
83
Not enough data
8.6
83
Not enough data
8.5
82
Not enough data
8.7
82
Compliance
Not enough data
8.8
90
Not enough data
8.7
89
Not enough data
8.9
88
Not enough data
8.7
88
Security
Not enough data
9.0
80
Not enough data
8.9
82
Not enough data
8.9
82
Data Quality
Not enough data
9.0
90
Not enough data
8.7
89
Not enough data
9.0
87
Maintainence
Not enough data
8.8
81
Not enough data
8.8
80
Generative AI
Not enough data
8.4
79
Not enough data
8.5
78
Agentic AI - Data Governance
Not enough data
8.8
8
Not enough data
9.0
8
Not enough data
9.2
8
Not enough data
8.3
8
Not enough data
9.0
8
Not enough data
9.0
8
Management
Not enough data
8.6
167
Not enough data
8.5
161
Functionality
Not enough data
9.1
168
Not enough data
9.2
169
Not enough data
9.1
170
Not enough data
9.0
162
Not enough data
9.1
164
Deployment
Not enough data
8.9
63
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Deployment
Not enough data
8.9
61
Not enough data
8.8
62
Not enough data
8.6
65
Not enough data
8.9
64
Not enough data
9.0
64
Management
Not enough data
8.9
61
Not enough data
8.8
63
Not enough data
9.1
59
Not enough data
8.9
67
Operations
Not enough data
8.7
61
Not enough data
8.8
60
Not enough data
9.0
61
Management
Not enough data
8.8
60
Not enough data
8.7
59
Not enough data
9.1
58
Generative AI
Not enough data
8.3
27
Not enough data
8.3
27
System
8.2
19
8.8
175
Model Development
8.7
29
8.8
179
8.2
28
7.9
185
8.3
33
8.3
182
8.9
33
8.6
184
Model Development
8.4
19
8.5
171
Machine/Deep Learning Services
8.9
26
8.1
171
9.1
28
8.5
176
8.9
25
8.2
168
9.0
28
8.1
170
Machine/Deep Learning Services
9.2
17
8.4
156
9.2
18
8.4
158
Deployment
8.6
32
8.5
174
8.6
32
8.7
177
9.0
31
9.0
181
Generative AI
8.6
6
8.2
86
9.2
6
8.4
86
8.3
5
7.6
85
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
8.6
6
Not enough data
8.9
6
Not enough data
9.2
6
Not enough data
9.2
6
Not enough data
9.2
6
Data Management
Not enough data
9.0
177
|
Verified
Not enough data
8.9
177
|
Verified
Not enough data
8.8
172
|
Verified
Not enough data
8.7
175
|
Verified
Not enough data
8.7
165
|
Verified
Not enough data
9.0
167
|
Verified
Integration
Not enough data
8.8
163
|
Verified
Not enough data
8.8
163
|
Verified
Not enough data
9.1
171
|
Verified
Deployment
Not enough data
7.9
152
|
Verified
Not enough data
9.1
173
|
Verified
Performance
Not enough data
9.1
173
|
Verified
Security
Not enough data
8.8
164
|
Verified
Not enough data
8.9
165
|
Verified
Generative AI
Not enough data
8.5
75
Not enough data
8.4
74
Data Management
Not enough data
9.0
66
Not enough data
8.7
65
Not enough data
8.8
66
Not enough data
9.1
63
Agentic AI - DataOps Platforms
Not enough data
8.6
6
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
9.2
6
Analytics
Not enough data
8.8
64
Not enough data
8.4
63
Monitoring and Management
Not enough data
8.5
64
Not enough data
8.5
64
Cloud Deployment
Not enough data
9.1
60
Not enough data
9.0
61
Generative AI
Not enough data
8.9
35
Not enough data
8.9
35
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
Not enough data
8.7
218
Not enough data
8.9
224
Not enough data
9.3
225
Integrations
Not enough data
8.3
207
Not enough data
9.2
227
Platform
Not enough data
9.0
220
Not enough data
8.8
223
Not enough data
9.2
227
Processing
Not enough data
9.0
219
Not enough data
9.0
218
Data Transformation
Not enough data
8.8
219
Not enough data
9.0
226
Connectivity
Not enough data
8.7
202
Not enough data
9.2
225
Not enough data
9.0
217
Not enough data
9.2
225
Operations
Not enough data
8.4
223
Not enough data
8.8
218
Not enough data
8.6
207
Not enough data
8.6
205
Not enough data
9.3
220
Building Reports
Not enough data
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Amazon SageMaker and Databricks Data Intelligence Platform are categorized as MLOps Platforms and Data Science and Machine Learning Platforms
Unique Categories
Amazon SageMaker is categorized as Generative AI Infrastructure and Low-Code Machine Learning Platforms
Databricks Data Intelligence Platform is categorized as DataOps Platforms, Data Governance, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Data Warehouse, and Analytics Platforms
Reviews
Reviewers' Company Size
Amazon SageMaker
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Databricks Data Intelligence Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
19.0%
Computer Software
16.7%
Marketing and Advertising
4.8%
Internet
4.8%
Hospital & Health Care
4.8%
Other
50.0%
Information Technology and Services
14.7%
Financial Services
11.4%
Computer Software
8.2%
Consulting
3.9%
Hospital & Health Care
3.8%
Other
58.1%
Alternatives
Discussions
What is the best way to integrate Sagemaker models with Kubernetes?
1 Comment
VJ
https://aws.amazon.com/blogs/machine-learning/introducing-amazon-sagemaker-operators-for-kubernetes/Read more
How do i make this platform reach to most of my developers?
1 Comment
VJ
you can manage the access via IAM users and roles and give them access as per their need, Sagemaker by default has all the basic AWS feature and you can...Read more
Amazon SageMaker has no more discussions with answers
What is Lakehouse in Databricks?
4 Comments
BR
Lakehouse is a new and open data management architecture solution that combines the best features of the data lake and warehouse.Read more
What are the features of Databricks?
3 Comments
SA
It supports large amount of data with capability to write code in SQL, Spark, Python and R.
In the backend, it stored the data in the parquet file which...Read more
What is Databricks unified analytics platform?
3 Comments
CA
Databricks' Unified Data Analytics Platform helps organizations accelerate innovation by unifying data science with engineering and business. With Databricks...Read more
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