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Compare Amazon Kinesis Data Streams and Hazelcast Platform 
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At a Glance
Market Segments
Mid-Market (37.5% of reviews)
Small-Business (50.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Amazon Kinesis Data Streams
Star Rating
(89)4.3 out of 5
Market Segments
Mid-Market (37.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Amazon Kinesis Data StreamsHazelcast Platform
Star Rating
(13)4.3 out of 5
Market Segments
Small-Business (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Hazelcast PlatformSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Amazon Kinesis Data Streams excels in real-time processing capabilities, with a score of 9.4, making it a preferred choice for applications requiring immediate data ingestion and analysis. In contrast, Hazelcast Platform, while strong in data management, does not match this level of real-time performance.
- Reviewers mention that Kinesis offers superior integration options, scoring 8.7, which allows for seamless connections with various data sources and services. Hazelcast, while it provides integration capabilities, does not have the same breadth, which may limit its usability in diverse environments.
- G2 users highlight that Kinesis Data Streams has a robust data processing score of 9.0, indicating its effectiveness in handling large volumes of streaming data. Hazelcast, while capable, does not achieve the same level of efficiency in data processing, which could impact performance in high-demand scenarios.
- Users on G2 appreciate the quality of support provided by both platforms, with Kinesis scoring 8.7 and Hazelcast matching that score. However, Kinesis users often mention quicker response times and more comprehensive documentation, which can be crucial for troubleshooting and implementation.
- Reviewers say that Kinesis Data Streams shines in its disaster recovery features, ensuring data resilience and availability, which is critical for businesses relying on continuous data flow. Hazelcast, while it offers some recovery options, does not provide the same level of assurance in this area.
- Users report that Kinesis has a more favorable product direction score of 8.0 compared to Hazelcast's 7.4, indicating that Kinesis is perceived as being more aligned with future trends and user needs, which can be a significant factor for long-term investment in software solutions.
Pricing
Entry-Level Pricing
Amazon Kinesis Data Streams
No pricing availableHazelcast Platform
No pricing availableFree Trial
Amazon Kinesis Data Streams
No trial information availableHazelcast Platform
Free Trial is available
Ratings
Meets Requirements
9.1
52
8.8
8
Ease of Use
8.3
52
8.5
9
Ease of Setup
8.6
19
8.0
5
Ease of Admin
8.4
18
8.0
5
Quality of Support
8.7
47
8.7
5
Has the product been a good partner in doing business?
8.6
18
Not enough data
Product Direction (% positive)
8.1
43
7.4
9
Features by Category
Data
9.1
18
Not enough data
9.1
17
Not enough data
8.7
18
Not enough data
9.4
18
Not enough data
Analytics
8.9
12
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
Solution Provision
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
Availability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
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
Support
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
Availability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
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
Support
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Indexing
Not enough data
Not enough data
Not enough data
Not enough data
Filters
Not enough data
Not enough data
Not enough data
Not enough data
Query latency
Not enough data
Not enough data
Not enough data
Not enough data
Data latency
Not enough data
Not enough data
Not enough data
Not enough data
Connectors
Not enough data
Not enough data
Not enough data
Not enough data
Scale
Not enough data
Not enough data
Not enough data
Not enough data
Architecture
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
Reporting
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
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
Database Features
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 Hazelcast Platform are categorized as Event Stream Processing and Stream Analytics
Unique Categories
Amazon Kinesis Data Streams has no unique categories
Hazelcast Platform is categorized as Data Replication, Big Data Processing and Distribution, Key Value Databases, Document Databases, Real-time Analytic Database, Time Series Databases, and Vector Database
Reviews
Reviewers' Company Size
Amazon Kinesis Data Streams
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Hazelcast 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
Information Technology and Services
15.0%
Computer Software
15.0%
Financial Services
12.5%
Consumer Services
5.0%
Banking
5.0%
Other
47.5%
Financial Services
16.7%
Computer Software
16.7%
Transportation/Trucking/Railroad
8.3%
Telecommunications
8.3%
Retail
8.3%
Other
41.7%
Alternatives
Discussions
Amazon Kinesis Data Streams has no discussions with answers
Hazelcast Platform has no discussions with answers
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