Introducing G2.ai, the future of software buying.Try now
Compare Apache Beam and Google Cloud Dataproc 
Featured Products
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Alteryx
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Starburst
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
High Digital
Visit Website
At a Glance
Market Segments
Mid-Market (42.9% of reviews)
Mid-Market (46.7% 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 Dataproc
Star Rating
(17)4.4 out of 5
Market Segments
Mid-Market (46.7% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Google Cloud DataprocSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud Dataproc excels in Hadoop Integration with a score of 9.0, making it a preferred choice for organizations heavily invested in the Hadoop ecosystem. In contrast, Apache Beam's Hadoop Integration score is significantly lower at 6.0, indicating less robust support for Hadoop-based workflows.
- Reviewers mention that Google Cloud Dataproc offers superior Spark Integration, scoring 9.4, which is crucial for users looking to leverage Spark's capabilities for big data processing. Apache Beam, however, scores only 7.3 in this area, suggesting it may not be as effective for Spark-centric tasks.
- G2 users highlight that Google Cloud Dataproc's Cloud Processing capabilities are rated at 9.0, showcasing its strength in handling cloud-based data processing tasks efficiently. Conversely, Apache Beam's score of 8.2 indicates it may not perform as well in cloud environments.
- Users on G2 report that Google Cloud Dataproc provides a more user-friendly experience with an Ease of Use score of 9.0, while Apache Beam's score of 7.8 suggests a steeper learning curve, which could impact user adoption.
- Reviewers say that Google Cloud Dataproc's Quality of Support is rated at 8.8, indicating a strong support system for users. In comparison, Apache Beam's support score of 7.6 suggests that users may face challenges in getting timely assistance.
- Users report that Google Cloud Dataproc's scalability is highly rated, allowing businesses to efficiently manage growing data workloads, while Apache Beam's scalability features may not be as robust, potentially limiting its effectiveness in larger environments.
Pricing
Entry-Level Pricing
Apache Beam
No pricing availableGoogle Cloud Dataproc
No pricing availableFree Trial
Apache Beam
No trial information availableGoogle Cloud Dataproc
No trial information availableRatings
Meets Requirements
8.6
12
8.7
10
Ease of Use
7.8
12
9.0
10
Ease of Setup
Not enough data
Not enough data
Ease of Admin
Not enough data
Not enough data
Quality of Support
7.6
11
8.8
10
Has the product been a good partner in doing business?
Not enough data
Not enough data
Product Direction (% positive)
8.1
12
8.8
10
Features by Category
Management
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
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
Database
7.7
10
8.1
8
8.0
10
8.8
8
7.1
7
8.1
8
Integrations
6.0
5
9.0
8
7.3
5
9.4
8
Platform
8.3
6
9.2
8
8.1
7
7.9
8
7.3
5
9.4
8
Processing
8.2
10
9.0
8
8.1
7
8.3
8
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 Dataproc are categorized as Big Data Processing and Distribution
Unique Categories
Apache Beam has no unique categories
Google Cloud Dataproc is categorized as ETL Tools
Reviews
Reviewers' Company Size
Apache Beam
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud Dataproc
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
26.7%
Retail
13.3%
Marketing and Advertising
6.7%
Hospital & Health Care
6.7%
Higher Education
6.7%
Other
40.0%
Alternatives
Discussions
Apache Beam has no discussions with answers
Google Cloud Dataproc has no discussions with answers
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
