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At a Glance
Market Segments
Mid-Market (55.0% of reviews)
Enterprise (46.4% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Amazon Kinesis Data Firehose
Star Rating
(24)4.2 out of 5
Market Segments
Mid-Market (55.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Amazon Kinesis Data FirehoseDatabricks Data Intelligence Platform
Star Rating
(630)4.6 out of 5
Market Segments
Enterprise (46.4% 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 the Databricks Data Intelligence Platform excels in Data Integration with a score of 9.0, allowing seamless connections to various data sources, while Amazon Kinesis Data Firehose scores slightly lower at 8.9, indicating a more limited integration capability.
- Reviewers mention that Databricks offers superior Real-Time Processing capabilities with a score of 8.1, which is crucial for businesses needing immediate insights, whereas Kinesis has a comparable score but lacks some advanced features that Databricks provides.
- G2 users highlight that Databricks shines in Workflow Management with a score of 9.3, making it easier to automate and manage complex data workflows, while Kinesis falls behind with a score of 8.5, indicating less robust workflow capabilities.
- Users on G2 report that Databricks has a more comprehensive Data Profiling feature, scoring 8.3, which helps in understanding data quality and structure, while Kinesis scores 8.2, suggesting it may not provide as detailed insights.
- Reviewers mention that Databricks offers a more flexible Language Support feature with a score of 8.7, accommodating various programming languages for data manipulation, compared to Kinesis, which scores 8.5, indicating slightly less flexibility.
- Users say that Databricks provides better Model Development tools, particularly in Model Training with a score of 8.7, while Kinesis scores 8.6, showing that Databricks may offer more advanced capabilities for machine learning model development.
Pricing
Entry-Level Pricing
Amazon Kinesis Data Firehose
No pricing availableDatabricks Data Intelligence Platform
No pricing availableFree Trial
Amazon Kinesis Data Firehose
No trial information availableDatabricks Data Intelligence Platform
Free Trial is available
Ratings
Meets Requirements
8.5
17
8.9
513
Ease of Use
8.3
17
8.8
522
Ease of Setup
8.6
7
8.6
395
Ease of Admin
9.2
6
8.3
169
Quality of Support
8.2
17
8.7
488
Has the product been a good partner in doing business?
8.9
6
8.8
172
Product Direction (% positive)
9.3
17
9.6
501
Features by Category
Reports
Not enough data
7.5
6
Not enough data
7.5
6
Not enough data
7.8
6
Not enough data
7.7
5
Not enough data
8.0
5
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
7.5
6
Not enough data
7.2
6
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
7.5
6
Not enough data
7.3
5
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
8.1
6
Not enough data
8.0
5
Not enough data
8.3
5
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
8.3
8
Not enough data
7.5
8
Not enough data
7.7
5
Not enough data
8.1
8
Not enough data
Analytics
7.7
8
Not enough data
Administration
Not enough data
8.8
92
Not enough data
8.6
89
Not enough data
9.0
90
Not enough data
8.6
91
Management
Not enough data
8.5
84
Not enough data
8.7
83
Not enough data
8.6
83
Not enough data
8.5
82
Not enough data
8.7
82
Compliance
Not enough data
8.8
90
Not enough data
8.7
89
Not enough data
8.9
88
Not enough data
8.7
88
Security
Not enough data
9.0
80
Not enough data
8.9
82
Not enough data
8.9
82
Data Quality
Not enough data
9.0
90
Not enough data
8.7
89
Not enough data
9.0
87
Maintainence
Not enough data
8.8
81
Not enough data
8.8
80
Generative AI
Not enough data
8.4
79
Not enough data
8.5
78
Agentic AI - Data Governance
Not enough data
8.8
8
Not enough data
9.0
8
Not enough data
9.2
8
Not enough data
8.3
8
Not enough data
9.0
8
Not enough data
9.0
8
Management
8.2
10
8.6
167
8.3
9
8.5
161
Functionality
8.3
10
9.1
168
8.2
10
9.2
169
8.8
10
9.1
170
9.3
10
9.0
162
9.3
10
9.1
164
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
177
|
Verified
Not enough data
8.9
177
|
Verified
Not enough data
8.8
172
|
Verified
Not enough data
8.7
175
|
Verified
Not enough data
8.7
165
|
Verified
Not enough data
9.0
167
|
Verified
Integration
Not enough data
8.8
163
|
Verified
Not enough data
8.8
163
|
Verified
Not enough data
9.1
171
|
Verified
Deployment
Not enough data
7.9
152
|
Verified
Not enough data
9.1
173
|
Verified
Performance
Not enough data
9.1
173
|
Verified
Security
Not enough data
8.8
164
|
Verified
Not enough data
8.9
165
|
Verified
Generative AI
Not enough data
8.5
75
Not enough data
8.4
74
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
Not enough data
8.7
219
Not enough data
8.9
225
Not enough data
9.3
226
Integrations
Not enough data
8.3
208
Not enough data
9.2
228
Platform
Not enough data
9.0
221
Not enough data
8.8
224
Not enough data
9.2
228
Processing
Not enough data
9.0
220
Not enough data
9.0
219
Data Transformation
Not enough data
8.8
219
Not enough data
9.0
226
Connectivity
Not enough data
8.7
202
Not enough data
9.2
225
Not enough data
9.0
217
Not enough data
9.2
225
Operations
Not enough data
8.4
223
Not enough data
8.8
218
Not enough data
8.6
207
Not enough data
8.6
205
Not enough data
9.3
220
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
Amazon Kinesis Data Firehose and Databricks Data Intelligence Platform are categorized as ETL Tools
Unique Categories
Amazon Kinesis Data Firehose is categorized as Stream Analytics and Event Stream Processing
Databricks Data Intelligence Platform is categorized as MLOps Platforms, DataOps Platforms, Data Governance, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, Data Warehouse, and Analytics Platforms
Reviews
Reviewers' Company Size
Amazon Kinesis Data Firehose
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
20.0%
Information Technology and Services
15.0%
Consumer Services
10.0%
Real Estate
5.0%
Online Media
5.0%
Other
45.0%
Information Technology and Services
14.7%
Financial Services
11.4%
Computer Software
8.1%
Consulting
3.9%
Hospital & Health Care
3.7%
Other
58.1%
Alternatives
Discussions
Amazon Kinesis Data Firehose 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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