Compare Databricks and Google Cloud SQL 
At a Glance
Market Segments
Enterprise (45.1% of reviews)
Mid-Market (40.1% of reviews)
Entry-Level Pricing
No pricing available
Pay As You Go Per Month
Databricks
Star Rating
(712)4.6 out of 5
Market Segments
Enterprise (45.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksGoogle Cloud SQL
Star Rating
(365)4.5 out of 5
Market Segments
Mid-Market (40.1% of reviews)
Pros & Cons
Entry-Level Pricing
Pay As You Go Per Month
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Google Cloud SQL excels in ease of setup, with many users appreciating its automated backups and seamless scaling features. This allows teams to focus on their work without worrying about manual data management, providing a sense of peace of mind.
- Users say that Databricks Data Intelligence Platform stands out for its AI integration within the data lakehouse, which has been a significant factor for many organizations choosing the platform. Reviewers highlight its capabilities in data analytics and fast calculations, making it a powerful tool for data-driven decision-making.
- According to verified reviews, Google Cloud SQL offers a variety of database types, which gives users the flexibility to design their architecture based on specific needs. This versatility is often praised as a major advantage over competitors.
- Reviewers mention that while Databricks provides a robust platform for data engineering, some users have faced challenges with configuration to match their specific workflows. This can lead to a steeper learning curve for new users compared to Google Cloud SQL.
- Users appreciate that Google Cloud SQL minimizes the need for infrastructure management, which significantly reduces operational risks. Many find the platform easy to use, which enhances their overall productivity and simplifies daily tasks.
- G2 reviewers highlight that Databricks is particularly strong in integration with external tools like Power BI, which enhances reporting capabilities. This feature is often cited as a key reason for its adoption in enterprise environments, where comprehensive data analysis is crucial.
Pricing
Entry-Level Pricing
Databricks
No pricing availableGoogle Cloud SQL
Committed Use Discounts
Pay As You Go
Per Month
You can lower the cost by purchasing 1-year or 3-year commitment plans. Visit cloud.google.com/sql/pricing to check pricing for your region.
- CPU and memory
- Other features are available only through on-demand model
Free Trial
Databricks
Free Trial is available
Google Cloud SQL
Free Trial is available
Ratings
Meets Requirements
8.9
567
9.1
254
Ease of Use
8.9
578
9.2
262
Ease of Setup
8.7
450
9.1
115
Ease of Admin
8.3
181
9.0
98
Quality of Support
8.7
542
8.8
246
Has the product been a good partner in doing business?
8.9
185
9.0
96
Product Direction (% positive)
9.6
555
9.4
251
Features by Category
Reports
8.2
11
Not enough data
7.4
9
Not enough data
8.3
11
Not enough data
8.0
9
Not enough data
8.9
14
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
148
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
144
Not enough data
Administration
8.8
99
Not enough data
8.6
93
Not enough data
9.0
94
Not enough data
8.7
97
Not enough data
Management
8.4
87
Not enough data
8.6
86
Not enough data
8.6
87
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
86
Not enough data
8.9
85
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
83
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
172
Not enough data
9.2
174
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
61
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
63
Not enough data
8.8
65
Not enough data
9.2
61
Not enough data
8.9
68
Not enough data
Operations
8.7
62
Not enough data
8.8
61
Not enough data
9.0
62
Not enough data
Management
8.8
60
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
190
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
8.8
94
Not enough data
8.8
96
Not enough data
9.2
100
Not enough data
8.9
98
Not enough data
9.1
98
Maintenance
Not enough data
9.0
99
Not enough data
9.1
104
Not enough data
8.7
99
Security
Not enough data
9.2
98
Not enough data
9.2
99
Management
Not enough data
9.1
106
Not enough data
9.3
106
Not enough data
9.2
101
Not enough data
9.3
101
Support
Not enough data
8.9
106
Not enough data
9.1
107
Not enough data
8.9
102
Not enough data
8.9
103
Security
Not enough data
9.1
101
Not enough data
9.1
104
Not enough data
9.2
104
Not enough data
9.2
108
Performance
Not enough data
9.1
110
Not enough data
9.0
103
Not enough data
9.0
104
Not enough data
8.8
101
Not enough data
9.0
101
Database Features
Not enough data
9.2
130
Not enough data
9.2
132
Not enough data
9.1
130
Not enough data
9.0
130
Not enough data
9.3
124
Not enough data
8.9
124
Not enough data
9.2
125
Data Management
9.0
68
Not enough data
8.7
69
Not enough data
8.8
68
Not enough data
9.1
68
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
Configuration
Not enough data
9.2
92
Not enough data
8.7
85
Not enough data
9.0
91
Not enough data
8.9
80
Not enough data
9.4
87
Database Administration
Not enough data
8.9
87
Not enough data
8.8
83
Not enough data
8.8
82
Availability
Not enough data
9.2
93
Not enough data
9.2
91
Not enough data
8.9
86
Not enough data
8.9
84
Security
Not enough data
8.7
74
Not enough data
9.1
80
Not enough data
8.9
75
Data Management
Not enough data
9.2
82
Not enough data
8.8
76
Database
8.7
236
Not enough data
8.9
243
Not enough data
9.3
256
Not enough data
Integrations
8.3
220
Not enough data
9.1
256
Not enough data
Platform
9.0
246
Not enough data
8.8
246
Not enough data
9.1
256
Not enough data
Processing
9.0
242
Not enough data
9.0
242
Not enough data
Data Transformation
8.8
226
Not enough data
9.1
232
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
227
Not enough data
8.8
224
Not enough data
8.6
212
Not enough data
8.6
209
Not enough data
9.3
229
Not enough data
Building Reports
9.0
148
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
144
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 Google Cloud SQL are categorized as Database Management Systems (DBMS)
Unique Categories
Google Cloud SQL is categorized as Relational Databases and Database as a Service (DBaaS)
Reviews
Reviewers' Company Size
Databricks
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud SQL
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
15.4%
Financial Services
10.6%
Computer Software
8.5%
Consulting
3.7%
Hospital & Health Care
3.7%
Other
57.9%
Information Technology and Services
23.6%
Computer Software
17.8%
Staffing and Recruiting
6.4%
Banking
5.8%
Non-Profit Organization Management
4.1%
Other
42.3%
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
What is Cloud SQL?
3 Comments
UZ
Google Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational databases on Google Cloud...Read more
How much is Google Cloud SQL?
2 Comments
PS
It depends on different type of instances and configuration you use. It starts from 0.01 USD per hour.Read more
What is Google Cloud SQL used for?
2 Comments
HC
Cloud SQL automates tasks such as: Backups, Replication, Patches, Encryption, Storage capacity increases.Read more
Hunting for software insights?
With over 3 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.
