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At a Glance
Market Segments
Enterprise (47.6% of reviews)
Enterprise (56.4% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Cloudera Data Platform
Star Rating
(21)3.7 out of 5
Market Segments
Enterprise (47.6% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Cloudera Data PlatformIncorta
Star Rating
(59)4.4 out of 5
Market Segments
Enterprise (56.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about IncortaSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Incorta excels in Data Ingestion & Wrangling with a score of 9.6, making it easier for teams to prepare and analyze data quickly. In contrast, Cloudera Data Platform falls short in this area with a score of 6.7, leading reviewers to mention challenges in data preparation processes.
- Reviewers mention that Incorta's Ease of Use is significantly higher at 9.2 compared to Cloudera's 8.1, indicating that users find Incorta more intuitive and user-friendly, which is crucial for teams with varying technical expertise.
- G2 users highlight Incorta's superior Data Analytics capabilities, scoring 9.8, which allows for more robust insights and reporting. In contrast, Cloudera Data Platform's score of 6.4 suggests limitations in its analytical features, leading to user frustration.
- Users on G2 report that Incorta's Collaboration features, particularly in Metadata Management with a score of 9.1, facilitate better teamwork and data sharing. Cloudera's lower score of 7.5 in this area indicates a need for improvement in collaborative functionalities.
- Reviewers say that Incorta's Deployment options are highly rated at 9.6 for managed services, providing flexibility and ease of implementation. Cloudera's deployment score of 9.4, while still good, suggests that users may experience slightly more complexity in setup.
- Users report that Incorta shines in Data Quality and Cleansing with a score of 9.4, which is essential for maintaining accurate data. Cloudera's score of 6.9 indicates that users may struggle with data quality issues, impacting their overall analytics experience.
Pricing
Entry-Level Pricing
Cloudera Data Platform
No pricing availableIncorta
No pricing availableFree Trial
Cloudera Data Platform
No trial information availableIncorta
Free Trial is available
Ratings
Meets Requirements
8.2
19
8.9
34
Ease of Use
8.1
20
9.2
34
Ease of Setup
8.0
10
9.3
17
Ease of Admin
7.8
10
9.4
16
Quality of Support
7.7
19
9.0
33
Has the product been a good partner in doing business?
8.2
10
9.4
18
Product Direction (% positive)
8.3
21
8.9
31
Features by Category
Reports
Not enough data
9.3
25
Not enough data
9.2
24
Not enough data
8.9
26
Not enough data
8.8
24
Not enough data
9.2
26
Data Preparation
Not enough data
9.1
23
Not enough data
9.0
19
Data Modeling and Blending
Not enough data
9.5
23
Not enough data
9.2
24
Not enough data
9.2
21
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
9.0
26
Not enough data
8.7
25
Not enough data
9.1
24
Not enough data
8.9
24
Not enough data
Feature Not Available
Not enough data
9.0
18
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
8.8
23
Not enough data
9.2
26
Not enough data
9.0
25
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
22
Not enough data
8.9
21
Not enough data
8.6
20
Not enough data
8.9
19
Data Governance
8.8
10
Not enough data
8.8
8
Not enough data
8.8
8
Not enough data
Data Preparation
9.2
10
Not enough data
9.4
9
Not enough data
9.7
10
Not enough data
8.9
9
Not enough data
Collaboration
8.5
8
Not enough data
8.9
9
Not enough data
8.9
9
Not enough data
9.1
9
Not enough data
Artificial Intelligence
9.5
10
Not enough data
9.1
9
Not enough data
8.7
9
Not enough data
Generative AI
8.1
9
Not enough data
8.5
9
Not enough data
Agentic AI - Machine Learning Data Catalog
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 Source Access
Not enough data
8.9
21
Not enough data
8.9
22
Not enough data
8.7
18
Data Interaction
Not enough data
8.6
17
Not enough data
8.9
17
Not enough data
8.9
21
Not enough data
8.6
22
Not enough data
9.4
19
Not enough data
9.2
18
Not enough data
9.2
20
Not enough data
8.7
19
Data Exporting
Not enough data
9.0
19
Not enough data
9.1
19
Not enough data
8.7
18
Generative AI
Not enough data
Not enough data
System
Not enough data
9.6
9
Model Development
Not enough data
10.0
9
Not enough data
Feature Not Available
Not enough data
9.6
9
Not enough data
9.6
9
Model Development
Not enough data
9.8
9
Machine/Deep Learning Services
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Machine/Deep Learning Services
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Deployment
Not enough data
9.6
9
Not enough data
10.0
9
Not enough data
9.6
9
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Science and Machine Learning 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
6.7
6
9.8
10
6.9
6
9.5
10
6.9
6
9.7
10
7.2
6
9.3
10
Analytics
6.4
6
9.8
10
Security
6.4
6
9.7
10
7.5
6
9.7
10
7.2
6
8.8
10
Generative AI
7.2
6
Not enough data
6.1
6
Not enough data
Agentic AI - Data Fabric
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
Cloudera Data Platform and Incorta are categorized as Data Fabric
Unique Categories
Cloudera Data Platform is categorized as Machine Learning Data Catalog
Incorta is categorized as Data Preparation, Analytics Platforms, and Data Science and Machine Learning Platforms
Reviews
Reviewers' Company Size
Cloudera Data Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Incorta
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
23.8%
Computer Software
19.0%
Pharmaceuticals
9.5%
Health, Wellness and Fitness
9.5%
Financial Services
9.5%
Other
28.6%
Information Technology and Services
12.7%
Computer Software
9.1%
Retail
7.3%
Electrical/Electronic Manufacturing
5.5%
Accounting
5.5%
Other
60.0%
Discussions
Cloudera Data Platform has no discussions with answers
Would it possible to get a count of how many other reviewers ranked Incorta and the current ranking?
1 Comment
LC
I could answer this for you. Please contact me through LinkedIn.Read more
Does anyone find it difficult finding resources to help with the implementation of the Incorta data analytic tool.
1 Comment
LC
There isn't a huge community, but you can ping me on LinkedIn for assistance. I've implemented it and know the community.Read more
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