Compare Azure Data Factory and Google Cloud Managed Service for Apache Spark
At a Glance
Market Segments
Enterprise (59.1% of reviews)
Mid-Market (46.7% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Azure Data Factory
Star Rating
(99)4.6 out of 5
Market Segments
Enterprise (59.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure Data Factory
Google Cloud Managed Service for Apache Spark
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 Managed Service for Apache Spark
Azure Data Factory vs Google Cloud Managed Service for Apache Spark
- Reviewers felt that Azure Data Factory meets the needs of their business better than Google Cloud Managed Service for Apache Spark.
- When comparing quality of ongoing product support, Azure Data Factory and Google Cloud Managed Service for Apache Spark provide similar levels of assistance.
- For feature updates and roadmaps, our reviewers preferred the direction of Azure Data Factory over Google Cloud Managed Service for Apache Spark.
Pricing
Entry-Level Pricing
Azure Data Factory
No pricing availableGoogle Cloud Managed Service for Apache Spark
No pricing availableFree Trial
Azure Data Factory
No trial information availableGoogle Cloud Managed Service for Apache Spark
No trial information availableRatings
Meets Requirements
9.1
76
8.7
10
Ease of Use
8.9
78
9.0
10
Ease of Setup
9.0
43
Not enough data
Ease of Admin
8.7
31
Not enough data
Quality of Support
8.8
71
8.8
10
Has the product been a good partner in doing business?
9.1
30
Not enough data
Product Direction (% positive)
9.8
72
8.8
10
Features by Category
Management
8.6
50
Not enough data
8.4
46
Not enough data
Functionality
9.2
56
Not enough data
9.1
54
Not enough data
9.4
52
Not enough data
9.2
53
Not enough data
9.1
51
Not enough data
Database
Not enough data
8.1
8
Not enough data
8.8
8
Not enough data
8.1
8
Integrations
Not enough data
9.0
8
Not enough data
9.4
8
Platform
Not enough data
9.2
8
Not enough data
7.9
8
Not enough data
9.4
8
Processing
Not enough data
9.0
8
Not enough data
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
Azure Data Factory and Google Cloud Managed Service for Apache Spark are categorized as ETL Tools
Unique Categories
Azure Data Factory is categorized as Big Data Integration Platforms
Google Cloud Managed Service for Apache Spark is categorized as Big Data Processing and Distribution
Reviews
Reviewers' Company Size
Azure Data Factory
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud Managed Service for Apache Spark
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
Information Technology and Services
31.9%
Computer Software
12.8%
Financial Services
5.3%
Airlines/Aviation
4.3%
Consulting
4.3%
Other
41.5%
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
Is Azure data Factory an ETL tool?
2 Comments
DM
Yes Azure Data Factory is a No-Code ETL tool. Very easy to use.Read more
Azure Data Factory has no more discussions with answers
Google Cloud Managed Service for Apache Spark has no discussions with answers
