Compare Confluent and Lenses 
At a Glance
Market Segments
Enterprise (35.5% of reviews)
Enterprise (50.0% of reviews)
Entry-Level Pricing
No pricing available
Free
Confluent
Star Rating
(113)4.4 out of 5
Market Segments
Enterprise (35.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about ConfluentLenses
Star Rating
(17)4.2 out of 5
Market Segments
Enterprise (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 3 pricing plansConfluent vs Lenses
When assessing the two solutions, reviewers found Lenses easier to use and administer. However, Confluent is easier to set up. Reviewers agreed that both vendors make it equally easy to do business overall.
- Reviewers felt that Confluent meets the needs of their business better than Lenses.
- When comparing quality of ongoing product support, reviewers felt that Confluent is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Confluent over Lenses.
Pricing
Entry-Level Pricing
Confluent
No pricing availableLenses
Community Edition
Free
Run it now, for free, forever. Connect it to up to 2 Kafka clusters or your local instance.
- Full observability features
- Supports all kafka vendors
- 2 user accounts
Free Trial
Confluent
Free Trial is available
Lenses
Free Trial is available
Ratings
Meets Requirements
8.7
88
8.2
13
Ease of Use
8.4
89
9.4
14
Ease of Setup
8.2
39
7.6
11
Ease of Admin
8.1
39
8.8
11
Quality of Support
8.3
82
7.4
14
Has the product been a good partner in doing business?
8.5
36
8.5
10
Product Direction (% positive)
9.0
89
5.5
13
Features by Category
Data Masking
Not enough data
8.6
6
Not enough data
8.3
5
Not enough data
8.6
6
Not enough data
8.6
6
Not enough data
7.7
5
Data
8.8
63
7.7
5
8.8
59
Not enough data
8.8
63
7.7
5
9.0
64
8.0
5
Analytics
8.3
57
8.3
5
Administration
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Compliance
Not enough data
Not enough data
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
Not enough data
Not enough data
Data Quality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Maintainence
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 - 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
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
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
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Issue Resolution
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
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 - AIOps 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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Not enough data
Not enough data
Not enough data
Not enough data
Monitoring and Management
Not enough data
Not enough data
Not enough data
Not enough data
Cloud Deployment
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
Functionality
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
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
Generative AI
Not enough data
Not enough data
Agentic AI - Data Observability
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
Compliance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
Not enough data
Not enough data
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
Not enough data
Not enough data
Not enough data
Not enough data
Database
9.0
18
Not enough data
8.7
17
Not enough data
8.3
15
Not enough data
Integrations
8.3
12
Not enough data
8.2
14
Not enough data
Platform
8.2
17
Not enough data
7.8
16
Not enough data
8.2
14
Not enough data
Processing
8.2
16
Not enough data
8.3
17
Not enough data
Data Transformation
8.9
22
|
Verified
Not enough data
8.4
20
|
Verified
Not enough data
Connectivity
8.2
17
|
Verified
Not enough data
8.6
19
|
Verified
Not enough data
8.3
22
|
Verified
Not enough data
8.1
19
|
Verified
Not enough data
Operations
8.3
22
|
Verified
Not enough data
7.9
21
|
Verified
Not enough data
8.2
18
|
Verified
Not enough data
Feature Not Available
Not enough data
Feature Not Available
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
Confluent and Lenses are categorized as Event Stream Processing, Stream Analytics, and Big Data Processing and Distribution
Unique Categories
Confluent is categorized as Big Data Analytics
Lenses is categorized as DataOps Platforms, Data Governance, Data Masking, Big Data Integration Platforms, Data Observability, ETL Tools, and AIOps Platforms
Reviews
Reviewers' Company Size
Confluent
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Lenses
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
21.8%
Information Technology and Services
15.5%
Financial Services
13.6%
Banking
5.5%
Retail
5.5%
Other
38.2%
Retail
12.5%
Human Resources
12.5%
Banking
12.5%
Consulting
6.3%
Transportation/Trucking/Railroad
6.3%
Other
50.0%
Alternatives
Discussions
Confluent has no discussions with answers
Lenses has no discussions with answers
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.
Your software and services insights are valuable.
Your peers come to G2 to get an inside look at and other business solutions. Adding perspective on will help others pick the right solution based on real user experience.
