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At a Glance
Market Segments
Small-Business (34.9% of reviews)
Enterprise (46.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Confluent
Star Rating
(112)4.4 out of 5
Market Segments
Small-Business (34.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about ConfluentDatabricks Data Intelligence Platform
Star Rating
(631)4.6 out of 5
Market Segments
Enterprise (46.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Databricks Data Intelligence Platform excels in real-time processing with a score of 9.0, which reviewers mention significantly enhances their ability to analyze data as it streams in. In contrast, Confluent also performs well in this area but scores slightly lower at 8.9.
- Reviewers mention that Databricks offers superior data integration capabilities, scoring 9.0, which users say allows for seamless connections with various data sources. Confluent, while strong at 8.9, does not match the breadth of integration options that Databricks provides.
- Users on G2 highlight Databricks' workflow management feature, scoring an impressive 9.3, as a standout aspect that simplifies complex data processes. In comparison, Confluent's workflow management is rated lower at 7.9, indicating a less robust offering in this area.
- Reviewers mention that Databricks shines in data modeling with a score of 8.0, which users say facilitates better data organization and analysis. Confluent, however, has a slightly lower score of 8.2, suggesting it may not be as effective for users focused on data modeling.
- G2 users report that Databricks provides a more comprehensive dashboard and visualization experience, scoring 8.3, which enhances data interpretation. Confluent's dashboard capabilities are rated at 8.3 as well, but users feel that Databricks offers more intuitive visual tools.
- Users say that Databricks' model registry feature, rated at 8.9, is a critical asset for managing machine learning models effectively. In contrast, Confluent's model registry is rated at 8.4, indicating that while it is functional, it may lack some advanced features that Databricks provides.
Pricing
Entry-Level Pricing
Confluent
No pricing availableDatabricks Data Intelligence Platform
No pricing availableFree Trial
Confluent
Free Trial is available
Databricks Data Intelligence Platform
Free Trial is available
Ratings
Meets Requirements
8.7
87
8.9
514
Ease of Use
8.4
88
8.8
523
Ease of Setup
8.2
38
8.7
396
Ease of Admin
8.1
38
8.3
169
Quality of Support
8.3
81
8.7
489
Has the product been a good partner in doing business?
8.5
35
8.8
172
Product Direction (% positive)
8.9
88
9.6
502
Features by Category
Reports
Not enough data
7.9
7
Not enough data
7.9
7
Not enough data
8.1
7
Not enough data
8.1
6
Not enough data
8.3
6
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling and Blending
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Analytics 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
Self Service
Not enough data
7.9
7
Not enough data
7.6
7
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
7.9
7
Not enough data
7.8
6
Deployment & Integration - Analytics 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
Advanced Analytics
Not enough data
8.3
7
Not enough data
8.3
6
Not enough data
8.6
6
Performance & Scalability - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - Analytics 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
Personalized Intelligence - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
Not enough data
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
Data
8.8
63
Not enough data
8.8
59
Not enough data
8.8
63
Not enough data
9.0
63
Not enough data
Analytics
8.3
57
Not enough data
Administration
Not enough data
8.8
93
Not enough data
8.6
90
Not enough data
9.0
91
Not enough data
8.7
92
Management
Not enough data
8.5
85
Not enough data
8.7
84
Not enough data
8.6
84
Not enough data
8.5
83
Not enough data
8.7
83
Compliance
Not enough data
8.8
91
Not enough data
8.7
90
Not enough data
8.9
89
Not enough data
8.7
89
Security
Not enough data
9.0
81
Not enough data
8.9
83
Not enough data
8.9
83
Data Quality
Not enough data
9.0
91
Not enough data
8.7
90
Not enough data
9.0
88
Maintainence
Not enough data
8.8
82
Not enough data
8.8
81
Generative AI
Not enough data
8.4
80
Not enough data
8.5
79
Agentic AI - Data Governance
Not enough data
8.9
9
Not enough data
9.1
9
Not enough data
9.3
9
Not enough data
8.5
9
Not enough data
9.1
9
Not enough data
9.1
9
Management
Not enough data
8.6
168
Not enough data
8.5
162
Functionality
Not enough data
9.1
169
Not enough data
9.2
170
Not enough data
9.1
171
Not enough data
9.0
163
Not enough data
9.1
165
Deployment
Not enough data
8.9
63
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Deployment
Not enough data
8.9
61
Not enough data
8.8
62
Not enough data
8.6
65
Not enough data
8.9
64
Not enough data
9.0
64
Management
Not enough data
8.9
61
Not enough data
8.8
63
Not enough data
9.1
59
Not enough data
8.9
67
Operations
Not enough data
8.7
61
Not enough data
8.8
60
Not enough data
9.0
61
Management
Not enough data
8.8
60
Not enough data
8.7
59
Not enough data
9.1
58
Generative AI
Not enough data
8.3
27
Not enough data
8.3
27
System
Not enough data
8.8
175
Model Development
Not enough data
8.8
179
Not enough data
7.9
185
Not enough data
8.3
182
Not enough data
8.6
184
Model Development
Not enough data
8.5
171
Machine/Deep Learning Services
Not enough data
8.1
171
Not enough data
8.5
176
Not enough data
8.2
168
Not enough data
8.1
170
Machine/Deep Learning Services
Not enough data
8.4
156
Not enough data
8.4
158
Deployment
Not enough data
8.5
174
Not enough data
8.7
177
Not enough data
9.0
181
Generative AI
Not enough data
8.2
86
Not enough data
8.4
86
Not enough data
7.6
85
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
8.6
6
Not enough data
8.9
6
Not enough data
9.2
6
Not enough data
9.2
6
Not enough data
9.2
6
Data Management
Not enough data
9.0
178
|
Verified
Not enough data
8.9
178
|
Verified
Not enough data
8.8
173
|
Verified
Not enough data
8.8
176
|
Verified
Not enough data
8.7
166
|
Verified
Not enough data
9.0
168
|
Verified
Integration
Not enough data
8.8
164
|
Verified
Not enough data
8.8
164
|
Verified
Not enough data
9.1
172
|
Verified
Deployment
Not enough data
7.9
153
|
Verified
Not enough data
9.1
174
|
Verified
Performance
Not enough data
9.1
174
|
Verified
Security
Not enough data
8.8
165
|
Verified
Not enough data
8.9
166
|
Verified
Generative AI
Not enough data
8.5
76
Not enough data
8.4
75
Data Management
Not enough data
9.0
66
Not enough data
8.7
65
Not enough data
8.8
66
Not enough data
9.1
63
Agentic AI - DataOps Platforms
Not enough data
8.6
6
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
9.2
6
Analytics
Not enough data
8.8
64
Not enough data
8.4
63
Monitoring and Management
Not enough data
8.5
64
Not enough data
8.5
64
Cloud Deployment
Not enough data
9.1
60
Not enough data
9.0
61
Generative AI
Not enough data
8.9
35
Not enough data
8.9
35
Database
9.0
18
8.7
220
8.7
17
8.9
226
8.3
15
9.3
227
Integrations
8.3
12
8.3
209
8.2
14
9.2
229
Platform
8.2
17
9.0
222
7.8
16
8.8
225
8.2
14
9.2
229
Processing
8.2
16
9.0
221
8.3
17
9.0
220
Data Transformation
8.9
22
|
Verified
8.8
220
8.4
20
|
Verified
9.0
227
Connectivity
8.2
17
|
Verified
8.7
203
8.6
19
|
Verified
9.2
226
8.3
22
|
Verified
9.0
218
8.1
19
|
Verified
9.2
226
Operations
8.3
22
|
Verified
8.4
224
7.9
21
|
Verified
8.8
219
8.2
18
|
Verified
8.6
208
Feature Not Available
8.6
206
Feature Not Available
9.3
221
Building Reports
Not enough data
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
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
Confluent and Databricks Data Intelligence Platform are categorized as Big Data Processing and Distribution and Big Data Analytics
Unique Categories
Confluent is categorized as Event Stream Processing and Stream Analytics
Databricks Data Intelligence Platform is categorized as MLOps Platforms, DataOps Platforms, Data Governance, ETL Tools, Data Science and Machine Learning Platforms, Data Warehouse, and Analytics Platforms
Reviews
Reviewers' Company Size
Confluent
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Databricks Data Intelligence 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
Computer Software
22.0%
Information Technology and Services
15.6%
Financial Services
13.8%
Retail
5.5%
Banking
5.5%
Other
37.6%
Information Technology and Services
14.6%
Financial Services
11.4%
Computer Software
8.1%
Consulting
3.9%
Hospital & Health Care
3.7%
Other
58.2%
Alternatives
Discussions
Confluent has no discussions with answers
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
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