Compare AWS Bedrock and Databricks 
Featured Products
At a Glance
Market Segments
Enterprise (39.6% of reviews)
Enterprise (44.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
AWS Bedrock
Star Rating
(48)4.3 out of 5
Market Segments
Enterprise (39.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about AWS BedrockDatabricks
Star Rating
(758)4.6 out of 5
Market Segments
Enterprise (44.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Databricks excels in providing a comprehensive suite of features, with users highlighting tools like Genie, Lakehouse Connect, and streaming tables as significant advantages that streamline data workflows.
- Users say that AWS Bedrock offers a unique advantage with its unified API, allowing seamless switching between models like Claude 3.5 and Meta Llama 3, which is particularly beneficial for those looking to future-proof their applications.
- Reviewers mention that Databricks simplifies the entire data processing experience, enabling users to manage data analysis and machine learning in one place, which is a major time-saver compared to juggling multiple tools.
- According to verified reviews, AWS Bedrock's setup process is praised for its simplicity, with users noting that getting started is incredibly straightforward, making it accessible for teams with varying technical expertise.
- G2 reviewers highlight that Databricks has a strong focus on enterprise needs, with features like Unity Catalog providing centralized governance and fine-grained access control, which are crucial for larger organizations managing complex data environments.
- Users express concerns about AWS Bedrock's overall performance, particularly in the AI Agent Builders category, where it has received lower satisfaction ratings, indicating that it may not fully meet the expectations of users looking for advanced capabilities in this area.
Pricing
Entry-Level Pricing
AWS Bedrock
No pricing availableDatabricks
No pricing availableFree Trial
AWS Bedrock
No trial information availableDatabricks
Free Trial is available
Ratings
Meets Requirements
8.7
48
9.0
594
Ease of Use
8.1
48
8.9
609
Ease of Setup
8.4
47
8.7
482
Ease of Admin
9.0
17
8.4
184
Quality of Support
8.5
47
8.7
571
Has the product been a good partner in doing business?
8.5
16
8.9
188
Product Direction (% positive)
9.3
47
9.6
582
Features by Category
Reports
Not enough data
8.6
15
Not enough data
7.9
12
Not enough data
8.6
13
Not enough data
8.2
10
Not enough data
9.1
16
Data Preparation
Not enough data
9.0
7
Not enough data
9.0
8
Data Modeling and Blending
Not enough data
9.1
9
Not enough data
9.0
8
Not enough data
8.9
9
Generative AI
Not enough data
9.2
10
Not enough data
9.3
7
Agentic AI - Analytics Platforms
Not enough data
9.4
8
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
8.6
7
Not enough data
8.5
8
Not enough data
9.3
7
Not enough data
9.4
6
Self Service
Not enough data
7.9
11
Not enough data
7.9
11
Not enough data
8.6
12
Not enough data
8.2
13
Not enough data
8.3
12
Not enough data
8.1
9
Deployment & Integration - Analytics Platforms
Not enough data
8.3
8
Not enough data
9.3
9
Not enough data
8.8
7
Not enough data
9.3
7
Advanced Analytics
Not enough data
8.5
12
Not enough data
8.3
12
Not enough data
9.2
14
Performance & Scalability - Analytics Platforms
Not enough data
9.0
8
Not enough data
9.7
5
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
9.1
9
Not enough data
8.7
9
Not enough data
8.8
7
Agentic AI Capabilities - Analytics Platforms
Not enough data
8.8
8
Not enough data
9.0
8
Not enough data
9.0
7
Not enough data
8.8
8
Personalized Intelligence - Analytics Platforms
Not enough data
9.3
7
Not enough data
8.1
9
Not enough data
8.5
8
Building Reports
Not enough data
9.0
158
Not enough data
8.6
149
Not enough data
7.6
124
Not enough data
8.4
149
Administration
Not enough data
8.8
100
Not enough data
8.6
94
Not enough data
9.0
95
Not enough data
8.7
99
Management
Not enough data
8.5
88
Not enough data
8.6
87
Not enough data
8.7
89
Not enough data
8.5
88
Not enough data
8.8
87
Compliance
Not enough data
8.9
100
Not enough data
8.7
93
Not enough data
8.9
95
Not enough data
8.7
96
Security
Not enough data
9.0
89
Not enough data
8.9
87
Not enough data
8.8
87
Data Quality
Not enough data
9.0
95
Not enough data
8.7
94
Not enough data
9.0
94
Maintainence
Not enough data
8.7
86
Not enough data
8.8
85
Generative AI
Not enough data
8.4
83
Not enough data
8.5
82
Agentic AI - Data Governance
Not enough data
8.6
11
Not enough data
8.9
12
Not enough data
9.1
15
Not enough data
8.6
13
Not enough data
9.1
13
Not enough data
9.0
14
Management
Not enough data
8.6
173
Not enough data
8.5
165
Functionality
Not enough data
9.1
177
Not enough data
9.2
179
Not enough data
9.1
174
Not enough data
9.0
168
Not enough data
9.1
170
Deployment
Not enough data
8.9
65
Not enough data
8.9
64
Not enough data
8.9
66
Not enough data
8.9
66
Not enough data
9.0
68
Deployment
Not enough data
8.9
62
Not enough data
8.8
62
Not enough data
8.6
66
Not enough data
8.9
65
Not enough data
9.0
66
Management
Not enough data
9.0
64
Not enough data
8.9
66
Not enough data
9.2
61
Not enough data
9.0
69
Operations
Not enough data
8.7
62
Not enough data
8.8
62
Not enough data
9.0
63
Management
Not enough data
8.8
61
Not enough data
8.7
61
Not enough data
9.1
59
Generative AI
Not enough data
8.3
28
Not enough data
8.3
28
System
Not enough data
8.9
181
Model Development
Not enough data
8.7
185
Not enough data
8.0
188
Not enough data
8.3
187
Not enough data
8.7
192
Model Development
Not enough data
8.5
173
Machine/Deep Learning Services
Not enough data
8.2
175
Not enough data
8.5
181
Not enough data
8.3
173
Not enough data
8.2
173
Machine/Deep Learning Services
Not enough data
8.4
159
Not enough data
8.4
161
Deployment
Not enough data
8.5
180
Not enough data
8.7
181
Not enough data
9.0
189
Generative AI
Not enough data
8.2
87
Not enough data
8.4
88
Not enough data
7.6
87
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
9.3
9
Not enough data
8.5
8
Not enough data
8.3
9
Not enough data
8.8
8
Not enough data
9.2
11
Not enough data
8.8
7
Not enough data
9.4
8
Data Management
Not enough data
9.1
186
|
Verified
Not enough data
8.9
181
|
Verified
Not enough data
8.9
182
|
Verified
Not enough data
8.8
181
|
Verified
Not enough data
8.7
168
|
Verified
Not enough data
9.1
173
|
Verified
Integration
Not enough data
8.8
169
|
Verified
Not enough data
8.8
168
|
Verified
Not enough data
9.1
177
|
Verified
Deployment
Not enough data
7.9
157
|
Verified
Not enough data
9.2
179
|
Verified
Performance
Not enough data
9.2
180
|
Verified
Security
Not enough data
8.9
171
|
Verified
Not enough data
8.9
169
|
Verified
Generative AI
Not enough data
8.5
77
Not enough data
8.4
76
Management
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
Maintenance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
9.0
69
Not enough data
8.8
71
Not enough data
8.8
69
Not enough data
9.1
70
Agentic AI - DataOps Platforms
Not enough data
9.2
10
Not enough data
9.0
8
Not enough data
9.0
10
Not enough data
9.1
9
Not enough data
9.4
9
Analytics
Not enough data
8.8
68
Not enough data
8.6
68
Monitoring and Management
Not enough data
8.6
68
Not enough data
8.6
69
Cloud Deployment
Not enough data
9.0
64
Not enough data
9.0
65
Generative AI
Not enough data
9.0
37
Not enough data
8.9
37
Scalability and Performance - Generative AI Infrastructure
9.1
16
Not enough data
8.6
14
Not enough data
8.0
15
Not enough data
Cost and Efficiency - Generative AI Infrastructure
7.8
17
Not enough data
8.6
16
Not enough data
7.9
14
Not enough data
Integration and Extensibility - Generative AI Infrastructure
8.6
14
Not enough data
9.0
16
Not enough data
8.4
16
Not enough data
Security and Compliance - Generative AI Infrastructure
8.6
14
Not enough data
8.8
15
Not enough data
8.5
14
Not enough data
Usability and Support - Generative AI Infrastructure
7.4
16
Not enough data
7.7
14
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
8.0
5
Not enough data
7.3
5
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
8.7
5
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
7.7
5
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
8.3
5
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Security - Large Language Model Operationalization (LLMOps)
9.0
5
Not enough data
Not enough data
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Customization - AI Agent Builders
7.9
7
Not enough data
7.6
7
Not enough data
7.7
8
Not enough data
Functionality - AI Agent Builders
7.5
8
Not enough data
7.4
7
Not enough data
7.4
7
Not enough data
8.1
7
Not enough data
Data and Analytics - AI Agent Builders
8.1
7
Not enough data
8.1
7
Not enough data
9.3
7
Not enough data
Integration - AI Agent Builders
8.3
7
Not enough data
8.3
7
Not enough data
7.9
7
Not enough data
7.5
6
Not enough data
Traffic Management & Performance - AI Gateways
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Governance & Observability - AI Gateways
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
Not enough data
8.7
239
Not enough data
8.9
247
Not enough data
9.3
266
Integrations
Not enough data
8.3
220
Not enough data
9.1
269
Platform
Not enough data
8.9
262
Not enough data
8.9
255
Not enough data
9.1
269
Processing
Not enough data
9.0
248
Not enough data
9.0
255
Data Transformation
Not enough data
8.9
229
Not enough data
9.1
237
Connectivity
Not enough data
8.7
208
Not enough data
9.2
232
Not enough data
9.0
222
Not enough data
9.2
231
Operations
Not enough data
8.4
230
Not enough data
8.8
229
Not enough data
8.6
214
Not enough data
8.6
210
Not enough data
9.3
232
Building Reports
Not enough data
9.0
158
Not enough data
8.6
149
Not enough data
7.6
124
Not enough data
8.4
149
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
AWS Bedrock and Databricks are categorized as Generative AI Infrastructure and AI Agent Builders
Unique Categories
AWS Bedrock is categorized as Large Language Model Operationalization (LLMOps)
Reviews
Reviewers' Company Size
AWS Bedrock
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Databricks
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
20.8%
Computer Software
18.8%
Financial Services
8.3%
Consulting
6.3%
Computer & Network Security
4.2%
Other
41.7%
Information Technology and Services
15.7%
Financial Services
10.3%
Computer Software
8.7%
Consulting
3.9%
Hospital & Health Care
3.7%
Other
57.8%
Alternatives
Discussions
AWS Bedrock has no discussions with answers
What is Lakehouse in Databricks?
4 Comments
BK
Lakehouse architecture is the merging of the data warehouse and data lake concepts into a single platform, with built-in support for lineage maintenance and ML.Read more
What are the features of Databricks?
4 Comments
SM
Delta Lake
Lakehosue platform
Schema evolution
Data quarantine & Data Quality
Data Integration & TransformationsRead more
What does Databricks software do?
3 Comments
SM
It will work like Hadoop, databricks provide the services like big data.
Databricks also work like in advanced level it's have capability to process large...Read more
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