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- Databricks Data Intelligence Platform-vs-Google Cloud Dataflow
Compare Databricks Data Intelligence Platform and Google Cloud Dataflow 
At a Glance
Market Segments
Enterprise (46.9% of reviews)
Enterprise (40.4% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks Data Intelligence Platform
Star Rating
(608)4.6 out of 5
Market Segments
Enterprise (46.9% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Databricks Data Intelligence PlatformGoogle Cloud Dataflow
Star Rating
(59)4.3 out of 5
Market Segments
Enterprise (40.4% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Google Cloud DataflowSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that the Databricks Data Intelligence Platform excels in data processing with a score of 9.7, while Google Cloud Dataflow, although strong, scores slightly lower in this area. Reviewers mention that Databricks' ability to handle large datasets efficiently is a significant advantage for enterprise-level applications.
- Reviewers mention that Databricks offers superior integration capabilities, scoring 9.2 compared to Google Cloud Dataflow's 8.9. Users on G2 highlight the seamless integration with Spark and Hadoop as a key feature that enhances their data workflows.
- Users say that the real-time processing capabilities of both platforms are impressive, with Databricks scoring 9.5 and Google Cloud Dataflow matching that score. However, reviewers note that Databricks provides a more user-friendly interface for real-time analytics, making it easier for teams to leverage this feature effectively.
- G2 users report that the ease of use is a strong point for Databricks, which scores 8.7, while Google Cloud Dataflow scores 7.9. Reviewers mention that Databricks' intuitive design and comprehensive documentation make it easier for new users to get started.
- Users report that Databricks shines in its data modeling capabilities, scoring 8.0, while Google Cloud Dataflow's score in this area is not as high. Reviewers mention that the built-in data modeling tools in Databricks allow for more complex data transformations and visualizations.
- Reviewers mention that both platforms have strong support for machine learning services, but Databricks scores higher in model training (8.7) compared to Google Cloud Dataflow (8.6). Users on G2 appreciate the pre-built algorithms and the ease of deploying machine learning models in Databricks.
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Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableGoogle Cloud Dataflow
No pricing availableFree Trial
Databricks Data Intelligence Platform
Free Trial is available
Google Cloud Dataflow
No trial information availableRatings
Meets Requirements
8.9
494
9.3
39
Ease of Use
8.8
503
8.2
39
Ease of Setup
8.7
376
8.6
19
Ease of Admin
8.3
162
8.8
11
Quality of Support
8.7
469
8.4
36
Has the product been a good partner in doing business?
8.8
165
9.1
11
Product Direction (% positive)
9.6
483
9.4
38
Features by Category
Data
Not enough data
9.8
7
Not enough data
9.6
8
Not enough data
9.3
7
Not enough data
9.6
8
Analytics
Not enough data
8.3
5
Administration
8.7
83
Not enough data
8.6
80
Not enough data
9.0
81
Not enough data
8.6
82
Not enough data
Management
8.4
75
Not enough data
8.6
74
Not enough data
8.6
74
Not enough data
8.4
74
Not enough data
8.7
74
Not enough data
Compliance
8.8
81
Not enough data
8.6
80
Not enough data
8.9
79
Not enough data
8.7
79
Not enough data
Security
9.0
72
Not enough data
8.9
74
Not enough data
8.8
74
Not enough data
Data Quality
8.9
81
Not enough data
8.7
80
Not enough data
9.0
78
Not enough data
Maintainence
8.8
73
Not enough data
8.8
72
Not enough data
Generative AI
8.5
71
Not enough data
8.5
70
Not enough data
Agentic AI - Data Governance
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
Management
8.6
161
Not enough data
8.5
155
Not enough data
Functionality
9.1
162
Not enough data
9.2
163
Not enough data
9.1
164
Not enough data
9.0
156
Not enough data
9.1
158
Not enough data
Deployment
8.9
61
Not enough data
8.9
62
Not enough data
8.9
62
Not enough data
8.9
62
Not enough data
8.9
62
Not enough data
Deployment
8.9
60
Not enough data
8.8
61
Not enough data
8.6
64
Not enough data
8.9
63
Not enough data
9.0
63
Not enough data
Management
8.9
59
Not enough data
8.8
61
Not enough data
9.2
57
Not enough data
9.0
65
Not enough data
Operations
8.7
60
Not enough data
8.8
59
Not enough data
9.0
60
Not enough data
Management
8.8
59
Not enough data
8.7
58
Not enough data
9.1
57
Not enough data
Generative AI
8.3
26
Not enough data
8.3
26
Not enough data
System
8.8
168
Not enough data
8.7
163
Not enough data
8.1
164
Not enough data
Model Development
8.7
171
Not enough data
7.9
177
Not enough data
8.3
174
Not enough data
8.6
176
Not enough data
Model Development
8.4
162
Not enough data
8.7
166
Not enough data
8.5
164
Not enough data
Machine/Deep Learning Services
8.1
163
Not enough data
8.5
168
Not enough data
8.2
160
Not enough data
8.2
162
Not enough data
Machine/Deep Learning Services
8.2
151
Not enough data
8.4
149
Not enough data
8.4
149
Not enough data
8.5
151
Not enough data
Deployment
8.5
166
Not enough data
8.7
169
Not enough data
9.0
173
Not enough data
Deployment
8.5
156
Not enough data
8.7
162
Not enough data
8.8
160
Not enough data
Generative AI
8.3
80
Not enough data
8.5
80
Not enough data
7.6
79
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
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
Data Management
9.0
171
|
Verified
Not enough data
8.9
170
|
Verified
Not enough data
8.8
165
|
Verified
Not enough data
8.7
168
|
Verified
Not enough data
8.6
158
|
Verified
Not enough data
9.0
160
|
Verified
Not enough data
Integration
8.8
156
|
Verified
Not enough data
8.8
156
|
Verified
Not enough data
9.0
164
|
Verified
Not enough data
Deployment
7.8
145
|
Verified
Not enough data
9.1
166
|
Verified
Not enough data
Performance
9.1
166
|
Verified
Not enough data
Security
8.8
157
|
Verified
Not enough data
8.9
158
|
Verified
Not enough data
Generative AI
8.5
68
Not enough data
8.4
67
Not enough data
Data Management
9.0
60
Not enough data
8.6
59
Not enough data
8.7
60
Not enough data
9.1
57
Not enough data
Agentic AI - DataOps Platforms
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
Analytics
8.9
58
Not enough data
8.5
57
Not enough data
Monitoring and Management
8.6
58
Not enough data
8.4
58
Not enough data
Cloud Deployment
9.1
54
Not enough data
9.0
55
Not enough data
Generative AI
8.9
29
Not enough data
9.0
29
Not enough data
Database
8.7
202
8.3
11
8.9
208
8.9
11
9.3
209
8.5
10
Integrations
8.2
191
6.9
7
9.2
211
6.9
8
Platform
9.0
204
8.8
11
8.8
207
8.6
12
9.2
211
6.9
8
Processing
9.0
204
8.9
12
9.0
203
9.2
10
Data Transformation
8.8
210
Not enough data
9.0
217
Not enough data
Connectivity
8.6
193
Not enough data
9.2
216
Not enough data
9.0
208
Not enough data
9.2
216
Not enough data
Operations
8.4
214
Not enough data
8.8
209
Not enough data
8.6
198
Not enough data
8.6
196
Not enough data
9.3
211
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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 Data Intelligence Platform and Google Cloud Dataflow are categorized as Big Data Processing and Distribution
Unique Categories
Databricks Data Intelligence Platform is categorized as DataOps Platforms, MLOps Platforms, ETL Tools, Big Data Analytics, Data Science and Machine Learning Platforms, Data Warehouse, and Data Governance
Google Cloud Dataflow is categorized as Event Stream Processing
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud Dataflow
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
14.6%
Financial Services
11.8%
Computer Software
7.7%
Consulting
4.0%
Hospital & Health Care
3.9%
Other
58.0%
Computer Software
15.8%
Information Technology and Services
7.0%
Consulting
5.3%
Internet
5.3%
Insurance
5.3%
Other
61.4%
Most Helpful Reviews
Databricks Data Intelligence Platform
Most Helpful Favorable Review
Alihan Z.
Verified User in Telecommunications
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
Most Helpful Critical Review
Reeham N.
Verified User in Investment Banking
This tool is not optimized for R users. They were supposed to have an update Q1 for R studio but their help team informed me that this was no longer a priority. Even so, heavy AI and machine learning algorithms are not optimized for use here besides the...
Google Cloud Dataflow
Most Helpful Favorable Review
Verified User in Animation
There are users that require immense computing power to create. Google Cloud Platform can provide that without taxing valuable resources. With this, companies can offer the best graphics, images, and videos to their clients and to their audiences without...
Most Helpful Critical Review
Verified User in Accounting
Sometimes while being ran, it can run a wee bit slow but it’s safe to blame that on the systems WiFi for now.
Alihan Z.
Verified User in Telecommunications
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
Verified User in Animation
There are users that require immense computing power to create. Google Cloud Platform can provide that without taxing valuable resources. With this, companies can offer the best graphics, images, and videos to their clients and to their audiences without...
Reeham N.
Verified User in Investment Banking
This tool is not optimized for R users. They were supposed to have an update Q1 for R studio but their help team informed me that this was no longer a priority. Even so, heavy AI and machine learning algorithms are not optimized for use here besides the...
Verified User in Accounting
Sometimes while being ran, it can run a wee bit slow but it’s safe to blame that on the systems WiFi for now.
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?
3 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
Google Cloud Dataflow has no discussions with answers
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