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At a Glance
Market Segments
Mid-Market (39.1% of reviews)
Small-Business (54.2% of reviews)
Pros & Cons
Not enough data
Not enough data
Entry-Level Pricing
No pricing available
No pricing available
Cloudera Data Engineering
Star Rating
(23)4.7 out of 5
Market Segments
Mid-Market (39.1% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Cloudera Data EngineeringDataRobot
Star Rating
(26)4.4 out of 5
Market Segments
Small-Business (54.2% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about DataRobotSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that DataRobot excels in its Data Ingestion & Wrangling capabilities, scoring 9.4, which allows for seamless integration of various data sources. In contrast, Cloudera Data Engineering, while strong, has not been highlighted as a leader in this area.
- Reviewers mention that Cloudera Data Engineering shines in Ease of Setup with a score of 9.7, making it particularly appealing for teams looking to get started quickly. DataRobot, however, has a lower score of 7.0, indicating a more complex setup process.
- G2 users highlight that DataRobot's Model Development features, particularly its Pre-Built Algorithms scoring 9.4, provide a robust framework for users to build and deploy models efficiently. Cloudera Data Engineering also offers strong model training capabilities but does not match the same level of user satisfaction in this specific area.
- Users on G2 report that Cloudera Data Engineering's Quality of Support is rated at 9.3, with many reviewers praising the responsiveness and helpfulness of the support team. DataRobot, with a score of 7.9, has received mixed feedback regarding support quality.
- Reviewers mention that DataRobot's Generative AI features, particularly in AI Text Generation scoring 9.5, are highly regarded for their effectiveness and ease of use. Cloudera Data Engineering, while offering some generative capabilities, does not receive the same level of acclaim in this area.
- Users say that Cloudera Data Engineering's Scalability is a standout feature, scoring 9.5, which is crucial for organizations looking to grow their data operations. DataRobot, while capable, scores slightly lower at 9.4, indicating it may not scale as seamlessly for larger enterprises.
Pricing
Entry-Level Pricing
Cloudera Data Engineering
No pricing availableDataRobot
No pricing availableFree Trial
Cloudera Data Engineering
No trial information availableDataRobot
No trial information availableRatings
Meets Requirements
9.2
23
8.8
23
Ease of Use
9.3
23
8.5
23
Ease of Setup
9.8
7
7.0
11
Ease of Admin
9.5
7
7.4
11
Quality of Support
9.2
22
7.9
22
Has the product been a good partner in doing business?
9.3
7
8.3
11
Product Direction (% positive)
10.0
23
8.4
22
Features by Category
System
9.5
16
Not enough data
Model Development
9.8
16
Not enough data
9.3
17
Not enough data
9.2
15
Not enough data
9.3
16
Not enough data
Model Development
9.2
15
Not enough data
Machine/Deep Learning Services
9.2
16
Not enough data
9.4
16
Not enough data
9.3
16
Not enough data
9.2
16
Not enough data
Machine/Deep Learning Services
9.6
15
Not enough data
9.6
14
Not enough data
Deployment
9.3
16
Not enough data
9.5
17
Not enough data
9.4
16
Not enough data
Generative AI
9.4
14
Not enough data
9.0
14
Not enough data
9.1
15
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 Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Decision Making
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
Not enough data
Not enough data
Categories
Categories
Shared Categories
Cloudera Data Engineering and DataRobot are categorized as Data Science and Machine Learning Platforms
Unique Categories
Cloudera Data Engineering has no unique categories
DataRobot is categorized as Predictive Analytics and Low-Code Machine Learning Platforms
Reviews
Reviewers' Company Size
Cloudera Data Engineering
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
DataRobot
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
26.1%
Computer Software
26.1%
Consulting
13.0%
Banking
8.7%
Program Development
4.3%
Other
21.7%
Computer Software
20.8%
Information Technology and Services
12.5%
Telecommunications
8.3%
Manufacturing
4.2%
Retail
4.2%
Other
50.0%
Alternatives
Discussions
Cloudera Data Engineering has no discussions with answers
How much does using Algorithmia cost?
1 Comment
CP
You can get started on Algorithmia Teams for as little as $299/month. Go to teams.algorithmia.com and sign up now!Read more
I found a bug in an algorithm or it's not producing the expected results, what can I do?
1 Comment
CP
If you are an Algorithmia Enterprise user, contact your account team for an immediate response.
For Teams, while you are logged in to the platform, you...Read more
Can I use external libraries with my algorithms?
1 Comment
CP
Yes, you can. Algorithmia has complete package management capabilities built in to the platform. Read more
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