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Compare Apache Beam and Google Cloud Dataprep 
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At a Glance
Market Segments
Mid-Market (42.9% of reviews)
Small-Business (64.3% of reviews)
Pros & Cons
Not enough data
Not enough data
Entry-Level Pricing
No pricing available
No pricing available
Apache Beam
Star Rating
(16)4.1 out of 5
Market Segments
Mid-Market (42.9% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Apache BeamGoogle Cloud Dataprep
Star Rating
(16)4.3 out of 5
Market Segments
Small-Business (64.3% of reviews)
Pros & Cons
Not enough data
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 Apache Beam excels in real-time data collection with a score of 7.7, while Google Cloud Dataprep shines with a higher score of 8.7, indicating its superior capabilities in handling real-time data streams effectively.
- Reviewers mention that Google Cloud Dataprep offers a more user-friendly experience, reflected in its ease of use score of 9.1 compared to Apache Beam's 7.8, making it a preferred choice for those prioritizing a smooth onboarding process.
- G2 users highlight that Apache Beam provides robust data transformation features, scoring 9.3, which is crucial for users needing advanced data manipulation capabilities, while Google Cloud Dataprep, although strong, scores slightly lower in this area.
- Users on G2 report that Google Cloud Dataprep has a better overall data preparation experience, with a score of 9.2, which reviewers attribute to its intuitive interface and powerful data cleansing tools, making it ideal for users focused on data quality.
- Reviewers say that both platforms have similar machine scaling capabilities, each scoring 8.3, but users note that Google Cloud Dataprep's workload processing capabilities are superior, with a score of 9.4, allowing for more efficient handling of large datasets.
- Users report that Apache Beam's integration with Spark, scoring 7.3, is slightly less favorable compared to Google Cloud Dataprep's score of 7.9, indicating that Dataprep may offer a more seamless experience for users relying on Spark for data processing.
Pricing
Entry-Level Pricing
Apache Beam
No pricing availableGoogle Cloud Dataprep
No pricing availableFree Trial
Apache Beam
No trial information availableGoogle Cloud Dataprep
No trial information availableRatings
Meets Requirements
8.6
12
8.2
12
Ease of Use
7.8
12
9.2
13
Ease of Setup
Not enough data
8.6
6
Ease of Admin
Not enough data
8.9
6
Quality of Support
7.6
11
8.3
12
Has the product been a good partner in doing business?
Not enough data
8.9
6
Product Direction (% positive)
8.1
12
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
Database
7.7
10
8.7
9
8.0
10
8.3
9
7.1
7
6.7
9
Integrations
6.0
5
7.1
7
7.3
5
7.9
8
Platform
8.3
6
8.3
8
8.1
7
9.2
10
7.3
5
7.9
8
Processing
8.2
10
8.7
10
8.1
7
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
Apache Beam and Google Cloud Dataprep are categorized as Big Data Processing and Distribution
Unique Categories
Apache Beam has no unique categories
Google Cloud Dataprep is categorized as Data Preparation
Reviews
Reviewers' Company Size
Apache Beam
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
Retail
14.3%
Logistics and Supply Chain
14.3%
Information Technology and Services
14.3%
Computer Software
14.3%
Telecommunications
7.1%
Other
35.7%
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
Apache Beam has no discussions with answers
Google Cloud Dataprep has no discussions with answers
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