Compare Databricks and Gemini Enterprise Agent Platform 
At a Glance
Market Segments
Enterprise (44.2% of reviews)
Small-Business (42.3% of reviews)
Entry-Level Pricing
No pricing available
Pay As You Go Per Month
Databricks
Star Rating
(759)4.6 out of 5
Market Segments
Enterprise (44.2% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksGemini Enterprise Agent Platform
Star Rating
(652)4.3 out of 5
Market Segments
Small-Business (42.3% of reviews)
Pros & Cons
Entry-Level Pricing
Pay As You Go Per Month
Learn more about Gemini Enterprise Agent PlatformSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Databricks excels in simplifying the entire data workflow, allowing users to manage data processing, analysis, and machine learning in one place. Features like Genie and Lakehouse Connect are highlighted as significant advantages, making it easier for teams to collaborate and streamline their processes.
- Users say that Vertex AI provides a seamless end-to-end workflow for building and deploying machine learning models. The platform's ability to integrate training, monitoring, and predictions in one interface is praised, with one user describing it as a "powerful command center" for managing production-grade software deployments.
- Reviewers mention that Databricks has a strong focus on governance and data management, particularly with its Unity Catalog feature. This has been a game-changer for enterprises migrating from traditional architectures, offering centralized governance and fine-grained access control, which users find invaluable.
- According to verified reviews, Vertex AI's user interface can take some time to get used to, but once familiar, users appreciate how everything fits together. This learning curve is noted as a minor drawback compared to Databricks, which is often seen as more intuitive from the start.
- Users highlight that Databricks scores higher in ease of setup and administration, making it a preferred choice for teams looking for a quick implementation process. Reviewers specifically mention the intuitive onboarding experience that helps new users get started without significant hurdles.
- G2 reviewers indicate that while Vertex AI has a strong market presence and is well-suited for small businesses, Databricks tends to cater more effectively to enterprise needs, particularly with its robust features for collaboration and scalability, which are essential for larger teams and projects.
Pricing
Entry-Level Pricing
Databricks
No pricing availableGemini Enterprise Agent Platform
Try Vertex AI Free
Pay As You Go
Per Month
New customers get $300 in free credits to spend on Vertex AI.
- A unified UI for the entire ML workflow
- Pre-trained APIs for vision, video, natural language, and more
- End-to-end integration for data and AI
Free Trial
Databricks
Free Trial is available
Gemini Enterprise Agent Platform
No trial information availableRatings
Meets Requirements
8.9
595
8.6
386
Ease of Use
8.9
611
8.1
397
Ease of Setup
8.7
484
8.1
319
Ease of Admin
8.4
184
7.9
150
Quality of Support
8.7
573
8.1
362
Has the product been a good partner in doing business?
8.9
188
8.3
144
Product Direction (% positive)
9.6
583
9.2
380
Features by Category
Reports
8.6
15
Not enough data
7.9
12
Not enough data
8.7
14
Not enough data
8.2
10
Not enough data
9.0
17
Not enough data
Data Preparation
9.0
7
Not enough data
9.0
8
Not enough data
Data Modeling and Blending
9.1
9
Not enough data
9.0
8
Not enough data
8.9
9
Not enough data
Generative AI
9.2
10
Not enough data
9.3
7
Not enough data
Agentic AI - Analytics Platforms
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
Not enough data
Self Service
7.9
11
Not enough data
7.9
11
Not enough data
8.6
12
Not enough data
8.2
13
Not enough data
8.5
13
Not enough data
8.1
9
Not enough data
Deployment & Integration - Analytics Platforms
8.3
8
Not enough data
9.3
9
Not enough data
8.8
7
Not enough data
9.3
7
Not enough data
Advanced Analytics
8.5
12
Not enough data
8.3
12
Not enough data
9.2
14
Not enough data
Performance & Scalability - Analytics Platforms
9.0
8
Not enough data
9.7
5
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
9.1
9
Not enough data
8.7
9
Not enough data
8.8
7
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.8
8
Not enough data
9.0
8
Not enough data
9.0
7
Not enough data
8.8
8
Not enough data
Personalized Intelligence - Analytics Platforms
9.3
7
Not enough data
8.1
9
Not enough data
8.5
8
Not enough data
Building Reports
9.0
158
Not enough data
8.6
149
Not enough data
7.7
125
Not enough data
8.4
149
Not enough data
Administration
8.8
100
Not enough data
8.6
94
Not enough data
9.0
95
Not enough data
8.7
99
Not enough data
Management
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
Not enough data
Compliance
8.9
100
Not enough data
8.7
93
Not enough data
8.9
95
Not enough data
8.7
96
Not enough data
Security
9.0
89
Not enough data
8.9
87
Not enough data
8.8
87
Not enough data
Data Quality
9.0
95
Not enough data
8.7
94
Not enough data
9.0
94
Not enough data
Maintainence
8.7
86
Not enough data
8.8
85
Not enough data
Generative AI
8.4
83
Not enough data
8.5
82
Not enough data
Agentic AI - Data Governance
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
Not enough data
Management
8.6
173
Not enough data
8.5
165
Not enough data
Functionality
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
Not enough data
Deployment
8.9
65
8.4
76
8.9
64
8.1
78
8.9
66
8.3
76
8.9
66
8.4
76
9.0
68
8.8
75
Deployment
8.9
62
8.5
75
8.8
62
8.3
73
8.6
66
8.4
72
8.9
65
8.6
74
9.0
66
8.7
71
Management
9.0
64
8.2
71
8.9
66
8.5
73
9.2
61
8.0
71
9.0
69
8.1
70
Operations
8.7
62
8.2
70
8.8
62
8.5
71
9.0
63
8.3
71
Management
8.8
61
8.1
69
8.7
61
8.4
72
9.1
59
8.3
70
Generative AI
8.3
28
8.4
37
8.3
28
8.6
37
System
8.9
181
8.2
169
Model Development
8.7
185
8.5
205
8.0
188
7.8
178
8.3
187
8.4
203
8.7
192
8.5
205
Model Development
8.5
173
8.2
163
Machine/Deep Learning Services
8.2
175
8.3
200
8.5
181
8.5
199
8.3
173
8.2
196
8.2
173
8.3
177
Machine/Deep Learning Services
8.4
159
8.5
163
8.4
161
8.5
162
Deployment
8.5
180
8.3
209
8.7
181
8.3
199
9.0
189
8.6
204
Generative AI
8.2
87
8.3
105
8.4
88
8.3
102
7.6
87
8.1
101
Agentic AI - Data Science and Machine Learning Platforms
9.3
9
8.0
34
8.5
8
7.8
33
8.3
9
7.6
35
8.8
8
7.8
31
9.2
11
8.3
33
8.8
7
7.3
32
9.4
8
7.5
32
Data Management
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
Not enough data
Integration
8.8
169
|
Verified
Not enough data
8.8
168
|
Verified
Not enough data
9.1
177
|
Verified
Not enough data
Deployment
7.9
157
|
Verified
Not enough data
9.2
179
|
Verified
Not enough data
Performance
9.2
180
|
Verified
Not enough data
Security
8.9
171
|
Verified
Not enough data
8.9
169
|
Verified
Not enough data
Generative AI
8.5
77
Not enough data
8.4
76
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
69
Not enough data
8.8
71
Not enough data
8.8
69
Not enough data
9.1
70
Not enough data
Agentic AI - DataOps Platforms
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
Not enough data
Analytics
8.8
68
Not enough data
8.6
68
Not enough data
Monitoring and Management
8.6
68
Not enough data
8.6
69
Not enough data
Cloud Deployment
9.0
64
Not enough data
9.0
65
Not enough data
Generative AI
9.0
37
Not enough data
8.9
37
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
9.1
30
Not enough data
8.7
31
Not enough data
8.7
30
Cost and Efficiency - Generative AI Infrastructure
Not enough data
8.0
33
Not enough data
7.7
30
Not enough data
8.0
29
Integration and Extensibility - Generative AI Infrastructure
Not enough data
8.5
29
Not enough data
8.3
31
Not enough data
8.6
30
Security and Compliance - Generative AI Infrastructure
Not enough data
8.7
29
Not enough data
8.3
31
Not enough data
9.0
29
Usability and Support - Generative AI Infrastructure
Not enough data
8.2
30
Not enough data
8.5
30
Integration - Machine Learning
Not enough data
8.5
66
Learning - Machine Learning
Not enough data
8.5
64
Not enough data
8.3
63
Not enough data
8.8
64
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
9.0
26
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
8.8
24
Not enough data
9.0
24
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
8.8
22
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
9.3
25
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.1
24
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
9.2
23
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
9.0
23
Not enough data
8.7
22
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
8.7
23
Not enough data
8.9
22
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
8.7
21
Not enough data
9.1
22
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.1
22
Not enough data
9.0
23
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
8.9
22
Customization - AI Agent Builders
Not enough data
8.6
27
Not enough data
7.7
26
Not enough data
8.4
25
Functionality - AI Agent Builders
Not enough data
8.1
26
Not enough data
7.3
26
Not enough data
8.2
25
Not enough data
7.1
26
Data and Analytics - AI Agent Builders
Not enough data
7.7
25
Not enough data
7.9
26
Not enough data
8.1
27
Integration - AI Agent Builders
Not enough data
8.8
27
Not enough data
8.2
29
Not enough data
8.1
27
Not enough data
7.4
26
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
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
239
Not enough data
8.9
247
Not enough data
9.3
266
Not enough data
Integrations
8.3
220
Not enough data
9.1
269
Not enough data
Platform
8.9
262
Not enough data
8.9
255
Not enough data
9.1
269
Not enough data
Processing
9.0
248
Not enough data
9.0
255
Not enough data
Data Transformation
8.9
229
Not enough data
9.1
237
Not enough data
Connectivity
8.7
208
Not enough data
9.2
232
Not enough data
9.0
222
Not enough data
9.2
231
Not enough data
Operations
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
Not enough data
Building Reports
9.0
158
Not enough data
8.6
149
Not enough data
7.7
125
Not enough data
8.4
149
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 Gemini Enterprise Agent Platform are categorized as MLOps Platforms, Data Science and Machine Learning Platforms, Generative AI Infrastructure, and AI Agent Builders
Unique Categories
Databricks is categorized as DataOps Platforms, Data Governance, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Analytics Platforms, Data Warehouse, Database Management Systems (DBMS), and AI Gateways
Gemini Enterprise Agent Platform is categorized as Large Language Model Operationalization (LLMOps), Machine Learning, and Low-Code Machine Learning Platforms
Reviews
Reviewers' Company Size
Databricks
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Gemini Enterprise Agent 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
15.6%
Financial Services
10.2%
Computer Software
8.8%
Consulting
3.8%
Hospital & Health Care
3.7%
Other
57.8%
Computer Software
17.5%
Information Technology and Services
14.2%
Financial Services
6.9%
Retail
3.6%
Hospital & Health Care
3.4%
Other
54.3%
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
What is Google Cloud AI Platform used for?
3 Comments
KS
Google cloud AI Platform enables us to build Machine learning models, that works on any type and any size of data. Read more
What software libraries does cloud ML engine support?
3 Comments
SA
Google Cloud ML Engine supports many software libraries, including TensorFlow, scikit-learn, XGBoost, Keras, etc....Read more
What is Google AI platform?
2 Comments
ZM
The Google AI Platform is a comprehensive set of tools and services provided by Google Cloud to develop, deploy, and manage artificial intelligence. It...Read more
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