Introducing G2.ai, the future of software buying.Try now
- Home
- ...
- Big Data Processing And Distribution Systems
- AWS Lake Formation
- Databricks Data Intelligence Platform
- AWS Lake Formation-vs-Databricks Data Intelligence Platform
Compare AWS Lake Formation and Databricks Data Intelligence Platform 
At a Glance
Market Segments
Small-Business (43.8% of reviews)
Enterprise (46.9% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
AWS Lake Formation
Star Rating
(37)4.4 out of 5
Market Segments
Small-Business (43.8% of reviews)
Entry-Level Pricing
No pricing available
Learn more about AWS Lake FormationDatabricks Data Intelligence Platform
Star Rating
(608)4.6 out of 5
Market Segments
Enterprise (46.9% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is 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 Data Integration with a score of 9.0, allowing seamless connections to various data sources, while AWS Lake Formation follows closely with a score of 8.9. Reviewers mention that Databricks' integration capabilities are particularly beneficial for enterprises needing to consolidate large datasets efficiently.
- Reviewers mention that AWS Lake Formation shines in Data Governance, scoring 9.2, which is slightly higher than Databricks' score of 9.1. Users on G2 appreciate Lake Formation's robust compliance management features, which help organizations maintain regulatory standards effectively.
- Users say that Databricks offers superior Machine Learning Services, particularly in Spark Integration with a score of 9.1, which is highly praised for its performance in handling large-scale machine learning tasks. In contrast, AWS Lake Formation scores 8.7, with users noting that while it provides solid ML capabilities, it lacks the same level of optimization for Spark workloads.
- G2 users report that Databricks has a more user-friendly Data Visualization experience, scoring 8.3, compared to AWS Lake Formation's score of 8.1. Reviewers mention that Databricks' dashboards are intuitive and allow for easier customization, making it simpler for users to derive insights from their data.
- Users report that AWS Lake Formation has a slight edge in Compliance Monitoring, with a score of 8.4, compared to Databricks' score of 7.7. Reviewers mention that Lake Formation's built-in compliance features help organizations track and manage sensitive data more effectively.
- Reviewers mention that Databricks provides better Real-Time Data Collection capabilities, scoring 8.4, while AWS Lake Formation scores 8.0. Users on G2 appreciate Databricks' ability to handle streaming data efficiently, which is crucial for businesses that rely on real-time analytics.
Featured Products
Sponsored
Savant Labs
(33)
Data Warehouse
Visit Website
Sponsored
COZYROC Solutions
(30)
Data Warehouse
Visit Website
Sponsored
Help Desk Migration Services
(169)
Data Warehouse
Visit Website
Pricing
Entry-Level Pricing
AWS Lake Formation
No pricing availableDatabricks Data Intelligence Platform
No pricing availableFree Trial
AWS Lake Formation
Free Trial is available
Databricks Data Intelligence Platform
Free Trial is available
Ratings
Meets Requirements
8.8
26
8.9
494
Ease of Use
8.6
26
8.8
503
Ease of Setup
8.2
11
8.7
376
Ease of Admin
8.0
9
8.3
162
Quality of Support
8.3
25
8.7
469
Has the product been a good partner in doing business?
9.0
8
8.8
165
Product Direction (% positive)
10.0
22
9.6
483
Features by Category
Administration
Not enough data
8.7
83
Not enough data
8.6
80
Not enough data
9.0
81
Not enough data
8.6
82
Management
Not enough data
8.4
75
Not enough data
8.6
74
Not enough data
8.6
74
Not enough data
8.4
74
Not enough data
8.7
74
Compliance
Not enough data
8.8
81
Not enough data
8.6
80
Not enough data
8.9
79
Not enough data
8.7
79
Security
Not enough data
9.0
72
Not enough data
8.9
74
Not enough data
8.8
74
Data Quality
Not enough data
8.9
81
Not enough data
8.7
80
Not enough data
9.0
78
Maintainence
Not enough data
8.8
73
Not enough data
8.8
72
Generative AI
Not enough data
8.5
71
Not enough data
8.5
70
Agentic AI - Data Governance
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
Management
Not enough data
8.6
161
Not enough data
8.5
155
Functionality
Not enough data
9.1
162
Not enough data
9.2
163
Not enough data
9.1
164
Not enough data
9.0
156
Not enough data
9.1
158
Deployment
Not enough data
8.9
61
Not enough data
8.9
62
Not enough data
8.9
62
Not enough data
8.9
62
Not enough data
8.9
62
Deployment
Not enough data
8.9
60
Not enough data
8.8
61
Not enough data
8.6
64
Not enough data
8.9
63
Not enough data
9.0
63
Management
Not enough data
8.9
59
Not enough data
8.8
61
Not enough data
9.2
57
Not enough data
9.0
65
Operations
Not enough data
8.7
60
Not enough data
8.8
59
Not enough data
9.0
60
Management
Not enough data
8.8
59
Not enough data
8.7
58
Not enough data
9.1
57
Generative AI
Not enough data
8.3
26
Not enough data
8.3
26
System
Not enough data
8.8
168
Not enough data
8.7
163
Not enough data
8.1
164
Model Development
Not enough data
8.7
171
Not enough data
7.9
177
Not enough data
8.3
174
Not enough data
8.6
176
Model Development
Not enough data
8.4
162
Not enough data
8.7
166
Not enough data
8.5
164
Machine/Deep Learning Services
Not enough data
8.1
163
Not enough data
8.5
168
Not enough data
8.2
160
Not enough data
8.2
162
Machine/Deep Learning Services
Not enough data
8.2
151
Not enough data
8.4
149
Not enough data
8.4
149
Not enough data
8.5
151
Deployment
Not enough data
8.5
166
Not enough data
8.7
169
Not enough data
9.0
173
Deployment
Not enough data
8.5
156
Not enough data
8.7
162
Not enough data
8.8
160
Generative AI
Not enough data
8.3
80
Not enough data
8.5
80
Not enough data
7.6
79
Agentic AI - Data Science and Machine Learning 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
Data Management
Not enough data
9.0
171
|
Verified
Not enough data
8.9
170
|
Verified
Not enough data
8.8
165
|
Verified
Not enough data
8.7
168
|
Verified
Not enough data
8.6
158
|
Verified
Not enough data
9.0
160
|
Verified
Integration
Not enough data
8.8
156
|
Verified
Not enough data
8.8
156
|
Verified
Not enough data
9.0
164
|
Verified
Deployment
Not enough data
7.8
145
|
Verified
Not enough data
9.1
166
|
Verified
Performance
Not enough data
9.1
166
|
Verified
Security
Not enough data
8.8
157
|
Verified
Not enough data
8.9
158
|
Verified
Generative AI
Not enough data
8.5
68
Not enough data
8.4
67
Data Management
Not enough data
9.0
60
Not enough data
8.6
59
Not enough data
8.7
60
Not enough data
9.1
57
Agentic AI - DataOps 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
Analytics
Not enough data
8.9
58
Not enough data
8.5
57
Monitoring and Management
Not enough data
8.6
58
Not enough data
8.4
58
Cloud Deployment
Not enough data
9.1
54
Not enough data
9.0
55
Generative AI
Not enough data
8.9
29
Not enough data
9.0
29
Database
8.0
11
8.7
202
8.6
11
8.9
208
8.6
12
9.3
209
Integrations
8.0
9
8.2
191
8.7
10
9.2
211
Platform
8.3
7
9.0
204
7.6
7
8.8
207
8.7
10
9.2
211
Processing
8.5
8
9.0
204
8.5
8
9.0
203
Data Transformation
Not enough data
8.8
210
Not enough data
9.0
217
Connectivity
Not enough data
8.6
193
Not enough data
9.2
216
Not enough data
9.0
208
Not enough data
9.2
216
Operations
Not enough data
8.4
214
Not enough data
8.8
209
Not enough data
8.6
198
Not enough data
8.6
196
Not enough data
9.3
211
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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 Lake Formation and Databricks Data Intelligence Platform are categorized as Big Data Processing and Distribution
Unique Categories
AWS Lake Formation is categorized as Big Data Integration Platforms
Databricks Data Intelligence Platform is categorized as DataOps Platforms, MLOps Platforms, ETL Tools, Big Data Analytics, Data Science and Machine Learning Platforms, Data Warehouse, and Data Governance
Reviews
Reviewers' Company Size
AWS Lake Formation
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
25.0%
Banking
9.4%
Retail
6.3%
Management Consulting
6.3%
Higher Education
6.3%
Other
46.9%
Information Technology and Services
14.6%
Financial Services
11.8%
Computer Software
7.7%
Consulting
4.0%
Hospital & Health Care
3.9%
Other
58.0%
Most Helpful Reviews
AWS Lake Formation
Most Helpful Favorable Review
Anurag J.
Verified User in Retail
Simple data lake setup Integration with AWS Automated data cataloging Easy to use
Most Helpful Critical Review
Verified User in Medical Practice
Na as of now in feature if any i will udate
Databricks Data Intelligence Platform
Most Helpful Favorable Review
Alihan Z.
Verified User in Telecommunications
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
Most Helpful Critical Review
Aleksandr P.
Verified User in Financial Services
The biggest kink in Lakehouse platform is its speed. It does not deliver on the performance promised. In addition, the Databricks UI is not easy to use. It feels like it's a smartphone app. On the side of technology, it is slow and expensive, with...
Anurag J.
Verified User in Retail
Simple data lake setup Integration with AWS Automated data cataloging Easy to use
Alihan Z.
Verified User in Telecommunications
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
Verified User in Medical Practice
Na as of now in feature if any i will udate
Aleksandr P.
Verified User in Financial Services
The biggest kink in Lakehouse platform is its speed. It does not deliver on the performance promised. In addition, the Databricks UI is not easy to use. It feels like it's a smartphone app. On the side of technology, it is slow and expensive, with...
Alternatives
Discussions
AWS Lake Formation has no 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
Hunting for software insights?
With over 2.5 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
