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Compare Azure Databricks and Confluent 
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At a Glance
Market Segments
Enterprise (49.5% of reviews)
Small-Business (34.9% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Azure Databricks
Star Rating
(227)4.5 out of 5
Market Segments
Enterprise (49.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure DatabricksConfluent
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 ConfluentSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Confluent excels in real-time data collection with a score of 9.0, which reviewers mention is crucial for applications requiring immediate data processing. In contrast, Azure Databricks also performs well but slightly lower at 8.8.
- Reviewers mention that Azure Databricks shines in data querying, achieving a score of 9.3, which users say enhances their ability to extract insights quickly. Confluent, while strong, scores 8.4 in this area, indicating a gap in user experience for complex queries.
- G2 users highlight that Confluent's integration capabilities are robust, particularly with real-time processing, scoring 9.0. However, Azure Databricks users report superior Spark integration at 9.0, which is essential for those leveraging big data analytics.
- Users on G2 mention that Azure Databricks offers better data transformation features, scoring 9.0 compared to Confluent's 8.1. This difference is significant for teams focused on preparing data for analysis.
- Reviewers say that Confluent's quality of support is rated at 8.3, which is commendable, but Azure Databricks edges ahead with a score of 8.4, indicating a slightly better user experience when seeking assistance.
- Users report that both platforms have similar customization capabilities, each scoring 8.3, but Azure Databricks is noted for its user-friendly interface, making it easier for teams to tailor the software to their needs.
Pricing
Entry-Level Pricing
Azure Databricks
No pricing availableConfluent
No pricing availableFree Trial
Azure Databricks
No trial information availableConfluent
Free Trial is available
Ratings
Meets Requirements
8.8
160
8.7
87
Ease of Use
8.7
161
8.4
88
Ease of Setup
8.6
75
8.2
38
Ease of Admin
8.5
61
8.1
38
Quality of Support
8.5
147
8.3
81
Has the product been a good partner in doing business?
8.8
60
8.5
35
Product Direction (% positive)
9.5
152
8.9
88
Features by Category
Data
Not enough data
8.8
63
Not enough data
8.8
59
Not enough data
8.8
63
Not enough data
9.0
63
Analytics
Not enough data
8.3
57
Database
Not enough data
9.0
18
Not enough data
8.7
17
Not enough data
8.3
15
Integrations
Not enough data
8.3
12
Not enough data
8.2
14
Platform
Not enough data
8.2
17
Not enough data
7.8
16
Not enough data
8.2
14
Processing
Not enough data
8.2
16
Not enough data
8.3
17
Data Transformation
8.8
130
|
Verified
8.9
22
|
Verified
9.3
83
|
Verified
8.4
20
|
Verified
Connectivity
8.4
120
|
Verified
8.2
17
|
Verified
9.0
133
|
Verified
8.6
19
|
Verified
9.0
129
|
Verified
8.3
22
|
Verified
9.1
132
|
Verified
8.1
19
|
Verified
Operations
8.3
127
|
Verified
8.3
22
|
Verified
8.6
127
|
Verified
7.9
21
|
Verified
8.5
117
|
Verified
8.2
18
|
Verified
8.5
111
|
Verified
Feature Not Available
9.3
77
|
Verified
Feature Not Available
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
Azure Databricks and Confluent are categorized as Big Data Analytics
Unique Categories
Azure Databricks has no unique categories
Confluent is categorized as Event Stream Processing, Stream Analytics, and Big Data Processing and Distribution
Reviews
Reviewers' Company Size
Azure Databricks
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Confluent
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
23.0%
Computer Software
12.0%
Retail
5.0%
Financial Services
4.5%
Hospital & Health Care
4.0%
Other
51.5%
Computer Software
22.0%
Information Technology and Services
15.6%
Financial Services
13.8%
Retail
5.5%
Banking
5.5%
Other
37.6%
Alternatives
Discussions
Is Azure Databricks PaaS or SAAS?
2 Comments
PG
Its PaaS tool as it offers developers to build their ETL pipelines for large datasets using multi cluster environment of sparkRead more
What is the best way to databricks in ADF
1 Comment
AS
Firstly, you need to create a Linked Service for ADF to connect to your Databricks Cluster. You can connect to as many clusters as you want.
Then create a...Read more
Confluent has no discussions with answers
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