Introducing G2.ai, the future of software buying.Try now
Compare Apache Beam and Hadoop HDFS 
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.
ILUM
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)
Enterprise (55.0% of reviews)
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 BeamHadoop HDFS
Star Rating
(141)4.4 out of 5
Market Segments
Enterprise (55.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Hadoop HDFSSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Hadoop HDFS excels in data distribution with a score of 9.1, making it a preferred choice for enterprises needing robust data management solutions. In contrast, Apache Beam scores lower at 8.0, which may limit its effectiveness in large-scale data distribution scenarios.
- Reviewers mention that Hadoop HDFS offers superior integration capabilities, particularly with Hadoop itself, scoring 9.1. This is a significant advantage for organizations already utilizing the Hadoop ecosystem, while Apache Beam's integration score of 6.0 indicates potential challenges for users looking to connect with Hadoop.
- G2 users highlight that Hadoop HDFS provides a strong real-time data collection capability with a score of 8.5, which is crucial for businesses that require immediate data insights. Apache Beam, with a score of 7.7, may not meet the same level of immediacy, potentially affecting time-sensitive applications.
- Users on G2 report that both products have similar scores in ease of use, with Hadoop HDFS at 7.5 and Apache Beam at 7.8. However, reviewers mention that Apache Beam's slightly higher score indicates a more user-friendly interface, which could be beneficial for teams with less technical expertise.
- Reviewers say that Hadoop HDFS shines in data lake capabilities, scoring 9.0, which is essential for organizations looking to store vast amounts of unstructured data. In contrast, Apache Beam's score of 7.1 suggests it may not be as effective for users focused on building comprehensive data lakes.
- Users report that both platforms have strong performance and reliability, with Hadoop HDFS scoring 8.4 and Apache Beam at 8.1. However, reviewers mention that Hadoop HDFS's higher score reflects its proven track record in handling large-scale data workloads, making it a more reliable choice for enterprise-level applications.
Pricing
Entry-Level Pricing
Apache Beam
No pricing availableHadoop HDFS
No pricing availableFree Trial
Apache Beam
No trial information availableHadoop HDFS
No trial information availableRatings
Meets Requirements
8.6
12
8.6
118
Ease of Use
7.8
12
7.5
120
Ease of Setup
Not enough data
6.9
47
Ease of Admin
Not enough data
7.1
44
Quality of Support
7.6
11
7.8
103
Has the product been a good partner in doing business?
Not enough data
7.7
42
Product Direction (% positive)
8.1
12
8.0
113
Features by Category
Database
7.7
10
8.6
42
8.0
10
9.1
46
7.1
7
9.0
40
Integrations
6.0
5
9.1
44
7.3
5
8.8
40
Platform
8.3
6
8.3
40
8.1
7
8.4
43
7.3
5
8.8
40
Processing
8.2
10
8.7
36
8.1
7
8.5
41
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 Hadoop HDFS are categorized as Big Data Processing and Distribution
Unique Categories
Apache Beam has no unique categories
Hadoop HDFS has no unique categories
Reviews
Reviewers' Company Size
Apache Beam
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Hadoop HDFS
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%
Computer Software
24.0%
Information Technology and Services
21.7%
Internet
7.8%
Financial Services
4.7%
Higher Education
3.9%
Other
38.0%
Alternatives
Discussions
Apache Beam has no discussions with answers
What is Hadoop HDFS used for?
1 Comment
VV
Hadoop HDFS is used for storing large volume of data... so called 'Big Data'.
Read more
Hadoop HDFS has no more 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.
