Compare Databricks and SAS Data Management Software 
At a Glance
Market Segments
Enterprise (44.6% of reviews)
Enterprise (50.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks
Star Rating
(727)4.6 out of 5
Market Segments
Enterprise (44.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksSAS Data Management
Star Rating
(99)4.1 out of 5
Market Segments
Enterprise (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about SAS Data ManagementSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Databricks excels in providing a comprehensive data workflow solution, with features like Genie, Lakehouse Connect, and streaming tables that streamline data processing, analysis, and machine learning all in one platform. This integration is a significant advantage for teams looking to simplify their operations.
- Users say that SAS Data Management offers a user-friendly experience, particularly for those who may not have extensive technical knowledge. Its visual interface simplifies complex ETL tasks and automates workflows, making it accessible for a broader audience while ensuring high accuracy in data management.
- Reviewers mention that Databricks has a strong focus on governance and data lineage, particularly with its Unity Catalog feature. This has been highlighted as a game-changer for enterprises migrating from traditional architectures, providing centralized governance and fine-grained access control that enhances data security and compliance.
- According to verified reviews, SAS Data Management is praised for its seamless integration with other SAS tools, which allows for consistent data management across platforms. This capability is particularly beneficial for organizations already invested in the SAS ecosystem, as it enhances overall efficiency.
- G2 reviewers highlight that Databricks has a significantly higher overall satisfaction score compared to SAS Data Management, indicating a stronger user experience and support. Users appreciate the quality of support provided by Databricks, which is reflected in their positive feedback about the responsiveness and helpfulness of the support team.
- Users report that while SAS Data Management is effective for managing large volumes of data, it may not match the advanced capabilities and flexibility offered by Databricks. Some users feel that Databricks' ability to handle complex data workflows and its innovative features give it an edge in more demanding data environments.
Pricing
Entry-Level Pricing
Databricks
No pricing availableSAS Data Management
No pricing availableFree Trial
Databricks
Free Trial is available
SAS Data Management
No trial information availableRatings
Meets Requirements
8.9
578
8.4
79
Ease of Use
8.9
589
7.3
80
Ease of Setup
8.7
461
8.5
27
Ease of Admin
8.4
184
8.3
20
Quality of Support
8.7
553
7.9
67
Has the product been a good partner in doing business?
8.9
188
8.1
21
Product Direction (% positive)
9.6
566
7.0
77
Features by Category
Reports
8.3
12
Not enough data
7.7
10
Not enough data
8.3
11
Not enough data
8.0
9
Not enough data
9.0
15
Not enough data
Data Preparation
8.9
6
Not enough data
8.8
7
Not enough data
Data Modeling and Blending
9.0
8
Not enough data
8.8
7
Not enough data
8.8
8
Not enough data
Generative AI
9.1
9
Not enough data
9.2
6
Not enough data
Agentic AI - Analytics Platforms
9.3
7
Not enough data
8.7
5
Not enough data
8.3
6
Not enough data
8.3
6
Not enough data
8.3
7
Not enough data
9.7
6
Not enough data
9.3
5
Not enough data
Self Service
7.7
10
Not enough data
7.7
10
Not enough data
8.5
11
Not enough data
8.1
12
Not enough data
8.2
11
Not enough data
7.9
8
Not enough data
Deployment & Integration - Analytics Platforms
8.1
7
Not enough data
9.2
8
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
Advanced Analytics
8.3
11
Not enough data
8.2
11
Not enough data
9.0
12
Not enough data
Performance & Scalability - Analytics Platforms
8.8
7
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
9.0
8
Not enough data
8.5
8
Not enough data
8.6
6
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.6
7
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
Personalized Intelligence - Analytics Platforms
9.2
6
Not enough data
7.9
8
Not enough data
8.3
7
Not enough data
Building Reports
9.0
149
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
145
Not enough data
Data Source Access
Not enough data
9.4
8
Not enough data
9.8
8
Not enough data
9.8
8
Data Interaction
Not enough data
9.6
8
Not enough data
9.4
8
Not enough data
9.5
7
Not enough data
9.6
8
Not enough data
9.5
7
Not enough data
9.5
7
Not enough data
9.6
8
Not enough data
9.6
8
Data Exporting
Not enough data
9.3
7
Not enough data
9.0
7
Not enough data
9.8
8
Generative AI
Not enough data
Not enough data
Administration
8.8
99
Not enough data
8.6
93
Not enough data
9.0
94
Not enough data
8.7
98
Not enough data
Management
8.4
87
Not enough data
8.6
86
Not enough data
8.6
88
Not enough data
8.5
87
Not enough data
8.8
86
Not enough data
Compliance
8.8
98
Not enough data
8.7
92
Not enough data
8.9
94
Not enough data
8.7
94
Not enough data
Security
9.0
87
Not enough data
8.9
86
Not enough data
8.8
86
Not enough data
Data Quality
9.0
94
Not enough data
8.7
93
Not enough data
9.0
93
Not enough data
Maintainence
8.7
85
Not enough data
8.8
84
Not enough data
Generative AI
8.4
82
Not enough data
8.5
81
Not enough data
Agentic AI - Data Governance
8.5
10
Not enough data
8.8
11
Not enough data
9.0
14
Not enough data
8.5
12
Not enough data
9.0
12
Not enough data
9.0
13
Not enough data
Management
8.6
171
Not enough data
8.5
164
Not enough data
Functionality
9.1
174
Not enough data
9.2
175
Not enough data
9.1
172
Not enough data
9.0
167
Not enough data
9.1
167
Not enough data
Deployment
8.9
64
Not enough data
8.9
64
Not enough data
8.9
66
Not enough data
8.9
66
Not enough data
9.0
67
Not enough data
Deployment
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
Not enough data
Management
9.0
64
Not enough data
8.8
65
Not enough data
9.2
61
Not enough data
9.0
69
Not enough data
Operations
8.7
62
Not enough data
8.8
62
Not enough data
9.0
63
Not enough data
Management
8.8
61
Not enough data
8.7
61
Not enough data
9.1
59
Not enough data
Generative AI
8.3
28
Not enough data
8.3
28
Not enough data
System
8.9
180
Not enough data
Model Development
8.8
182
Not enough data
7.9
187
Not enough data
8.3
186
Not enough data
8.7
191
Not enough data
Model Development
8.5
172
Not enough data
Machine/Deep Learning Services
8.2
174
Not enough data
8.5
180
Not enough data
8.3
172
Not enough data
8.2
172
Not enough data
Machine/Deep Learning Services
8.4
158
Not enough data
8.4
160
Not enough data
Deployment
8.5
178
Not enough data
8.7
180
Not enough data
9.0
187
Not enough data
Generative AI
8.2
86
Not enough data
8.4
87
Not enough data
7.6
86
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
9.2
8
Not enough data
8.3
7
Not enough data
8.1
8
Not enough data
8.6
7
Not enough data
9.2
10
Not enough data
9.2
6
Not enough data
9.3
7
Not enough data
Data Management
9.0
185
|
Verified
Not enough data
8.9
180
|
Verified
Not enough data
8.9
179
|
Verified
Not enough data
8.8
180
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
171
|
Verified
Not enough data
Integration
8.8
168
|
Verified
Not enough data
8.8
166
|
Verified
Not enough data
9.1
174
|
Verified
Not enough data
Deployment
7.9
156
|
Verified
Not enough data
9.1
178
|
Verified
Not enough data
Performance
9.1
177
|
Verified
Not enough data
Security
8.8
168
|
Verified
Not enough data
8.9
168
|
Verified
Not enough data
Generative AI
8.5
76
Not enough data
8.4
75
Not enough data
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
9.0
68
Not enough data
8.8
70
Not enough data
8.8
68
Not enough data
9.1
69
Not enough data
Agentic AI - DataOps Platforms
9.1
9
Not enough data
8.8
7
Not enough data
8.9
9
Not enough data
9.0
8
Not enough data
9.4
8
Not enough data
Analytics
8.8
67
Not enough data
8.5
67
Not enough data
Monitoring and Management
8.6
67
Not enough data
8.6
68
Not enough data
Cloud Deployment
9.0
63
Not enough data
9.0
64
Not enough data
Generative AI
8.9
36
Not enough data
8.9
36
Not enough data
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
Customization - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality - AI Agent Builders
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 and Analytics - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
8.7
237
Not enough data
8.9
244
Not enough data
9.3
259
Not enough data
Integrations
8.3
220
Not enough data
9.1
261
Not enough data
Platform
9.0
252
Not enough data
8.8
249
Not enough data
9.1
261
Not enough data
Processing
9.0
244
Not enough data
9.0
246
Not enough data
Data Transformation
8.8
226
Not enough data
9.1
233
Not enough data
Connectivity
8.7
206
Not enough data
9.2
230
Not enough data
9.0
220
Not enough data
9.2
230
Not enough data
Operations
8.4
228
Not enough data
8.8
224
Not enough data
8.6
212
Not enough data
8.6
209
Not enough data
9.3
231
Not enough data
Functionality
Not enough data
8.8
12
Not enough data
7.4
13
Not enough data
8.8
12
Not enough data
8.3
12
Not enough data
8.7
13
Management
Not enough data
8.2
13
Not enough data
8.2
13
Not enough data
8.3
13
Not enough data
7.7
13
Not enough data
7.4
13
Generative AI
Not enough data
7.6
9
Not enough data
7.4
9
Building Reports
9.0
149
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
145
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
Databricks and SAS Data Management are categorized as Data Governance
Unique Categories
Databricks is categorized as DataOps Platforms, MLOps Platforms, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, Analytics Platforms, Data Warehouse, Database Management Systems (DBMS), Generative AI Infrastructure, AI Agent Builders, and AI Gateways
SAS Data Management is categorized as Big Data Integration Platforms, Data Preparation, and Data Quality
Reviews
Reviewers' Company Size
Databricks
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SAS Data Management
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
15.9%
Financial Services
10.4%
Computer Software
8.5%
Consulting
4.0%
Hospital & Health Care
3.7%
Other
57.5%
Higher Education
14.6%
Research
10.4%
Banking
8.3%
Hospital & Health Care
7.3%
Information Technology and Services
7.3%
Other
52.1%
Alternatives
Discussions
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?
4 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
SAS Data Management has no discussions with answers
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