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Compare Apache Beam and Azure Data Lake Store 
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At a Glance
Market Segments
Mid-Market (42.9% of reviews)
Enterprise (44.4% 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 BeamAzure Data Lake Store
Star Rating
(39)4.5 out of 5
Market Segments
Enterprise (44.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure Data Lake StoreSummary
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, but reviewers mention that Azure Data Lake Store significantly outperforms it with a score of 9.1, highlighting its superior capabilities in handling streaming data.
- Reviewers mention that while Apache Beam has a solid integration with Spark (7.3), Azure Data Lake Store shines with a higher score of 8.6, indicating a more seamless experience for users looking to leverage Spark for data processing.
- G2 users note that Apache Beam's data lake capabilities score lower at 7.1, whereas Azure Data Lake Store receives a commendable score of 9.1, suggesting that users find Azure's data lake features more robust and user-friendly.
- Users on G2 report that Apache Beam's ease of use is rated at 7.8, but reviewers mention that Azure Data Lake Store is more user-friendly with a score of 8.6, making it a better choice for teams looking for a straightforward setup.
- Reviewers say that Apache Beam's quality of support is rated at 7.6, while Azure Data Lake Store boasts a higher score of 9.2, indicating that users feel more supported and satisfied with Azure's customer service.
- Users report that Apache Beam's machine scaling capabilities score 8.3, but Azure Data Lake Store outperforms it with a score of 8.9, suggesting that Azure provides a more efficient and scalable solution for handling large workloads.
Pricing
Entry-Level Pricing
Apache Beam
No pricing availableAzure Data Lake Store
No pricing availableFree Trial
Apache Beam
No trial information availableAzure Data Lake Store
No trial information availableRatings
Meets Requirements
8.6
12
9.2
34
Ease of Use
7.8
12
8.7
34
Ease of Setup
Not enough data
9.2
21
Ease of Admin
Not enough data
8.5
19
Quality of Support
7.6
11
9.1
33
Has the product been a good partner in doing business?
Not enough data
8.7
18
Product Direction (% positive)
8.1
12
9.3
33
Features by Category
Database
7.7
10
9.1
26
8.0
10
8.9
26
7.1
7
9.1
28
Integrations
6.0
5
8.9
23
7.3
5
8.7
24
Platform
8.3
6
8.9
25
8.1
7
9.1
27
7.3
5
8.7
24
Processing
8.2
10
9.3
27
8.1
7
9.2
26
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 Azure Data Lake Store are categorized as Big Data Processing and Distribution
Unique Categories
Apache Beam has no unique categories
Azure Data Lake Store has no unique categories
Reviews
Reviewers' Company Size
Apache Beam
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Azure Data Lake Store
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
41.7%
Computer Software
8.3%
Automotive
8.3%
Insurance
5.6%
Manufacturing
2.8%
Other
33.3%
Alternatives
Discussions
Apache Beam has no discussions with answers
Azure Data Lake Store has no discussions with answers
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