Compare Databricks and Starburst 
At a Glance
Market Segments
Enterprise (44.7% of reviews)
Enterprise (47.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks
Star Rating
(743)4.6 out of 5
Market Segments
Enterprise (44.7% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksStarburst
Star Rating
(92)4.4 out of 5
Market Segments
Enterprise (47.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about StarburstSummary
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 particularly appreciated by users who prefer not to juggle multiple tools.
- Users say that Starburst stands out for its query performance and governance features, which are highlighted as significant advantages over competitors like AWS Athena. Reviewers appreciate the cost savings and the user-friendly interface for managing data security with role-based access control (RBAC).
- According to verified reviews, Databricks has a notably higher overall satisfaction score, reflecting its strong market presence and user approval. Users frequently mention the value of the Unity Catalog for centralized governance and fine-grained access control, which has been a game-changer for enterprise migrations.
- Reviewers mention that while Starburst's support team is highly praised for being helpful and informative, Databricks users report a more robust overall support experience, with many highlighting the quality of assistance they receive when facing challenges.
- Users highlight that Databricks simplifies the data workflow, making it easier to manage complex data tasks without switching between different tools. This ease of use is reflected in its high ratings for user experience, which many find superior to Starburst's offerings.
- G2 reviewers note that while Starburst has strong features for query execution insights and lineage tracking, Databricks consistently outperforms in areas like data quality and integration capabilities, making it a more favorable choice for users looking for a comprehensive data solution.
Pricing
Entry-Level Pricing
Databricks
No pricing availableStarburst
No pricing availableFree Trial
Databricks
Free Trial is available
Starburst
Free Trial is available
Ratings
Meets Requirements
8.9
589
8.8
83
Ease of Use
8.9
602
9.1
84
Ease of Setup
8.7
474
8.5
75
Ease of Admin
8.4
184
8.5
45
Quality of Support
8.7
565
9.1
83
Has the product been a good partner in doing business?
8.9
188
9.0
43
Product Direction (% positive)
9.6
576
9.9
82
Features by Category
Reports
8.3
13
Not enough data
7.7
11
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
9.1
13
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
157
Not enough data
8.6
147
Not enough data
7.6
123
Not enough data
8.4
148
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
8.9
99
Not enough data
8.7
92
Not enough data
8.9
94
Not enough data
8.7
95
Not enough data
Security
9.0
88
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
172
Not enough data
8.5
164
Not enough data
Functionality
9.1
176
Not enough data
9.2
178
Not enough data
9.1
173
Not enough data
9.0
167
Not enough data
9.1
168
Not enough data
Deployment
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
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
8.9
66
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
8.7
183
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
179
Not enough data
8.7
180
Not enough data
9.0
188
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
8.5
20
8.9
180
|
Verified
8.2
20
8.9
181
|
Verified
7.8
21
8.8
180
|
Verified
8.1
17
8.7
167
|
Verified
7.1
18
9.1
172
|
Verified
8.3
19
Integration
8.8
168
|
Verified
7.7
17
8.8
167
|
Verified
8.8
21
9.1
175
|
Verified
9.0
22
Deployment
7.9
156
|
Verified
7.6
18
9.1
178
|
Verified
8.8
19
Performance
9.2
179
|
Verified
9.0
22
Security
8.9
170
|
Verified
7.5
20
8.9
168
|
Verified
8.4
21
Generative AI
8.5
76
6.1
9
8.4
75
5.9
9
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
238
8.0
51
8.9
246
9.0
48
9.3
264
8.4
49
Integrations
8.3
219
8.5
37
9.1
266
8.3
40
Platform
8.9
258
8.3
41
8.9
254
8.2
38
9.1
266
8.3
40
Processing
9.0
247
7.9
39
9.0
253
8.2
41
Data Transformation
8.9
228
7.9
44
9.1
236
9.1
53
Connectivity
8.7
207
8.6
44
9.2
230
Feature Not Available
9.0
221
8.9
48
9.2
231
9.1
42
Operations
8.4
229
7.9
43
8.8
227
7.9
37
8.6
213
7.4
34
8.6
209
7.3
33
9.3
232
6.9
31
Building Reports
9.0
157
Not enough data
8.6
147
Not enough data
7.6
123
Not enough data
8.4
148
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 Starburst are categorized as Big Data Processing and Distribution, Big Data Analytics, and Data Warehouse
Unique Categories
Starburst has no unique categories
Reviews
Reviewers' Company Size
Databricks
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Starburst
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
15.7%
Financial Services
10.2%
Computer Software
8.7%
Consulting
3.9%
Hospital & Health Care
3.8%
Other
57.7%
Information Technology and Services
13.0%
Financial Services
12.0%
Banking
9.8%
Computer Software
7.6%
Retail
6.5%
Other
51.1%
Alternatives
Discussions
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
Starburst has no discussions with answers
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