Compare Amazon Kinesis Data Streams and Lenses 
At a Glance
Market Segments
Mid-Market (37.0% of reviews)
Enterprise (50.0% of reviews)
Entry-Level Pricing
No pricing available
Free
Amazon Kinesis Data Streams
Star Rating
(90)4.3 out of 5
Market Segments
Mid-Market (37.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Amazon Kinesis Data StreamsLenses
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 plansAmazon Kinesis Data Streams vs Lenses
When assessing the two solutions, reviewers found Lenses easier to use and administer. However, reviewers preferred the ease of set up, and doing business with Amazon Kinesis Data Streams overall.
- Reviewers felt that Amazon Kinesis Data Streams meets the needs of their business better than Lenses.
- When comparing quality of ongoing product support, reviewers felt that Amazon Kinesis Data Streams is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Amazon Kinesis Data Streams over Lenses.
Pricing
Entry-Level Pricing
Amazon Kinesis Data Streams
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
Amazon Kinesis Data Streams
No trial information availableLenses
Free Trial is available
Ratings
Meets Requirements
9.1
53
8.2
13
Ease of Use
8.3
53
9.4
14
Ease of Setup
8.5
20
7.6
11
Ease of Admin
8.4
18
8.8
11
Quality of Support
8.6
48
7.4
14
Has the product been a good partner in doing business?
8.6
18
8.5
10
Product Direction (% positive)
8.1
44
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
9.0
19
7.7
5
9.1
17
Not enough data
8.7
19
7.7
5
9.4
19
8.0
5
Analytics
8.9
12
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integrations
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
Processing
Not enough data
Not enough data
Not enough data
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
Amazon Kinesis Data Streams and Lenses are categorized as Event Stream Processing and Stream Analytics
Unique Categories
Amazon Kinesis Data Streams has no unique categories
Lenses is categorized as DataOps Platforms, Data Governance, Data Masking, Big Data Integration Platforms, Data Observability, ETL Tools, AIOps Platforms, and Big Data Processing and Distribution
Reviews
Reviewers' Company Size
Amazon Kinesis Data Streams
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
Information Technology and Services
14.8%
Computer Software
14.8%
Financial Services
12.3%
Consumer Services
4.9%
Banking
4.9%
Other
48.1%
Retail
12.5%
Human Resources
12.5%
Banking
12.5%
Consulting
6.3%
Transportation/Trucking/Railroad
6.3%
Other
50.0%
Alternatives
Discussions
Amazon Kinesis Data Streams has no discussions with answers
Lenses has no discussions with answers
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