Compare Databricks and Salesforce Data 360 (formerly Data Cloud) 
At a Glance
Market Segments
Enterprise (44.6% of reviews)
Mid-Market (43.0% of reviews)
Entry-Level Pricing
No pricing available
$500.00 100000 Credits
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 DatabricksSalesforce Data 360 (formerly Data Cloud)
Star Rating
(210)4.3 out of 5
Market Segments
Mid-Market (43.0% of reviews)
Pros & Cons
Entry-Level Pricing
$500.00 100000 Credits
Learn more about Salesforce Data 360 (formerly Data Cloud)Summary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Databricks excels in providing a comprehensive data workflow, with users highlighting features like Genie and Lakehouse Connect that streamline data processing and analysis. This all-in-one approach is particularly appreciated by those who prefer not to juggle multiple tools.
- Users say that Salesforce Data 360 (formerly Data Cloud) shines in its ability to unify customer data from various sources, enhancing insights through the use of Einstein AI. This capability is especially beneficial for organizations looking to create a holistic view of their customers.
- Reviewers mention that Databricks has a significantly higher overall satisfaction score compared to Salesforce Data 360, indicating a stronger user experience. Many users appreciate how Databricks simplifies complex data workflows, making it easier to manage data tasks in one place.
- According to verified reviews, Salesforce Data 360 is praised for its straightforward customer unification process, which users found challenging before adopting the platform. This ease of use is a key selling point for mid-market companies looking to enhance their customer data management.
- Users highlight that while Databricks offers robust features for data governance and lineage tracking through its Unity Catalog, Salesforce Data 360 provides strong compliance and data quality management capabilities, making it a solid choice for organizations focused on regulatory requirements.
- G2 reviewers note that Databricks has a more extensive user base and recent activity, suggesting a vibrant community and ongoing product development. In contrast, Salesforce Data 360 has fewer recent reviews, which may indicate a less active user engagement or slower adoption in the current market.
Pricing
Entry-Level Pricing
Databricks
No pricing availableSalesforce Data 360 (formerly Data Cloud)
Consumption Credits
$500.00
100000 Credits
List Price
- Data Services
- Segmentation & Activation
Free Trial
Databricks
Free Trial is available
Salesforce Data 360 (formerly Data Cloud)
No trial information availableRatings
Meets Requirements
8.9
578
9.0
91
Ease of Use
8.9
589
8.0
169
Ease of Setup
8.7
461
7.4
142
Ease of Admin
8.4
184
8.6
43
Quality of Support
8.7
553
8.6
87
Has the product been a good partner in doing business?
8.9
188
9.3
42
Product Direction (% positive)
9.6
566
9.0
89
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 Integration
Not enough data
10.0
6
Not enough data
10.0
6
Not enough data
9.7
6
Not enough data
8.3
6
Not enough data
9.4
6
Not enough data
10.0
6
Agentic AI - Data Management Platform (DMP)
Not enough data
9.0
7
Not enough data
9.3
7
Not enough data
9.8
8
Not enough data
9.5
7
Not enough data
9.3
7
Not enough data
8.8
7
Data Analysis & Optimization
Not enough data
10.0
6
Not enough data
9.3
7
Not enough data
8.8
7
Not enough data
9.5
7
Platform
Not enough data
9.0
7
Not enough data
9.8
7
Not enough data
10.0
7
Not enough data
9.5
7
Not enough data
10.0
6
Administration
8.8
99
9.0
7
8.6
93
8.8
7
9.0
94
8.6
6
8.7
98
8.3
7
Management
8.4
87
8.3
7
8.6
86
9.0
7
8.6
88
8.6
7
8.5
87
8.3
7
8.8
86
8.3
6
Compliance
8.8
98
9.3
7
8.7
92
9.0
7
8.9
94
9.3
7
8.7
94
10.0
6
Security
9.0
87
9.3
7
8.9
86
8.8
7
8.8
86
9.3
7
Data Quality
9.0
94
9.3
7
8.7
93
8.8
7
9.0
93
9.6
8
Maintainence
8.7
85
9.0
7
8.8
84
9.0
7
Generative AI
8.4
82
8.1
7
8.5
81
8.3
7
Agentic AI - Data Governance
8.5
10
8.3
7
8.8
11
8.3
7
9.0
14
9.0
7
8.5
12
9.0
7
9.0
12
8.6
7
9.0
13
9.4
6
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
Data Sourcing
Not enough data
8.9
30
Not enough data
9.2
32
Not enough data
8.6
30
Not enough data
9.1
30
Intelligence
Not enough data
8.6
29
Not enough data
8.9
29
Not enough data
8.6
28
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
Audiences
Not enough data
10.0
6
Not enough data
9.2
6
Not enough data
9.7
6
Not enough data
10.0
6
Data Analysis
Not enough data
9.2
6
Not enough data
9.4
6
Not enough data
9.7
6
Not enough data
10.0
6
Administration
Not enough data
9.7
6
Not enough data
9.4
6
Not enough data
9.2
6
Agentic AI - Audience Intelligence Platforms
Not enough data
8.9
6
Not enough data
9.2
6
Not enough data
8.9
6
Not enough data
8.9
6
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
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
Functionality
Not enough data
Not enough data
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
Agentic AI - Firewall Software
Not enough data
8.3
17
Not enough data
8.7
17
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
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 Salesforce Data 360 (formerly Data Cloud) 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
Salesforce Data 360 (formerly Data Cloud) is categorized as Audience Intelligence Platforms, Identity Resolution, Customer Data Platform (CDP), Data Management Platform (DMP), Master Data Management (MDM), and Data Management Software
Reviews
Reviewers' Company Size
Databricks
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Salesforce Data 360 (formerly Data Cloud)
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%
Information Technology and Services
17.6%
Computer Software
9.8%
Financial Services
7.3%
Consulting
4.7%
Marketing and Advertising
4.1%
Other
56.5%
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
Salesforce Data 360 (formerly Data Cloud) has no discussions with answers
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