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Compare Google Cloud Dataflow and Google Cloud Dataprep 
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At a Glance
Market Segments
Small-Business (33.3% of reviews)
Small-Business (64.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Google Cloud Dataflow
Star Rating
(44)4.2 out of 5
Market Segments
Small-Business (33.3% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Google Cloud DataflowGoogle Cloud Dataprep
Star Rating
(16)4.3 out of 5
Market Segments
Small-Business (64.3% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Google Cloud DataprepSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud Dataflow excels in real-time data processing with a score of 9.5, making it ideal for applications requiring immediate data insights. In contrast, Google Cloud Dataprep, while strong in data preparation, does not focus on real-time capabilities, which may limit its use in time-sensitive scenarios.
- Reviewers mention that Google Cloud Dataprep shines in ease of use, scoring 9.1 compared to Dataflow's 7.9. This makes Dataprep a preferred choice for users who prioritize a user-friendly interface for data preparation tasks.
- G2 users highlight that Google Cloud Dataflow offers superior data processing capabilities with a score of 9.7, which is particularly beneficial for complex data workflows. Conversely, Dataprep's strength lies in its data quality and cleansing features, scoring 9.2, which is essential for ensuring data accuracy before analysis.
- Users on G2 report that Google Cloud Dataflow has robust integration capabilities, particularly with APIs, scoring 9.2, which facilitates seamless connectivity with various data sources. In comparison, Dataprep's integration capabilities, while good, score lower at 7.9, indicating potential limitations in connecting with diverse data environments.
- Reviewers say that Google Cloud Dataprep provides excellent data preparation features, scoring 9.2, which includes intuitive data transformation tools. Dataflow, while powerful, is more focused on processing and may require more technical expertise to achieve similar results in data preparation.
- Users report that both products have comparable quality of support, each scoring 8.3, but Dataprep users mention a slightly better experience in terms of responsiveness and helpfulness, which can be crucial for businesses needing timely assistance.
Pricing
Entry-Level Pricing
Google Cloud Dataflow
No pricing availableGoogle Cloud Dataprep
No pricing availableFree Trial
Google Cloud Dataflow
No trial information availableGoogle Cloud Dataprep
No trial information availableRatings
Meets Requirements
9.0
24
8.2
12
Ease of Use
8.1
24
9.2
13
Ease of Setup
7.9
7
8.6
6
Ease of Admin
8.0
5
8.9
6
Quality of Support
8.3
21
8.3
12
Has the product been a good partner in doing business?
9.0
5
8.9
6
Product Direction (% positive)
9.0
23
8.2
13
Features by Category
Data Source Access
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Interaction
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
Not enough data
Not enough data
Data Exporting
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
Data
9.8
7
Not enough data
9.6
8
Not enough data
9.3
7
Not enough data
9.6
8
Not enough data
Analytics
8.3
5
Not enough data
Database
8.3
11
8.7
9
8.9
11
8.3
9
8.5
10
6.7
9
Integrations
6.9
7
7.1
7
6.9
8
7.9
8
Platform
8.8
11
8.3
8
8.6
12
9.2
10
6.9
8
7.9
8
Processing
8.9
12
8.7
10
9.2
10
9.4
9
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
Google Cloud Dataflow and Google Cloud Dataprep are categorized as Big Data Processing and Distribution
Unique Categories
Google Cloud Dataflow is categorized as Event Stream Processing
Google Cloud Dataprep is categorized as Data Preparation
Reviews
Reviewers' Company Size
Google Cloud Dataflow
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud Dataprep
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
11.9%
Internet
7.1%
Entertainment
7.1%
Management Consulting
4.8%
Insurance
4.8%
Other
64.3%
Information Technology and Services
21.4%
Computer Software
14.3%
Restaurants
7.1%
Primary/Secondary Education
7.1%
Marketing and Advertising
7.1%
Other
42.9%
Alternatives
Discussions
Google Cloud Dataflow has no discussions with answers
Google Cloud Dataprep has no discussions with answers
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