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Compare Apache Spark for Azure HDInsight and Google Cloud Dataproc 
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At a Glance
Market Segments
Mid-Market (63.6% 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 Spark for Azure HDInsight
Star Rating
(12)4.0 out of 5
Market Segments
Mid-Market (63.6% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Apache Spark for Azure HDInsightGoogle 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 "Cloud Processing" with a score of 9.0, highlighting its seamless integration with other Google Cloud services, which enhances overall performance and efficiency.
- Reviewers mention that Apache Spark for Azure HDInsight shines in "Hadoop Integration" with a score of 9.4, indicating its strong compatibility with Hadoop ecosystems, making it a preferred choice for users heavily invested in Hadoop.
- G2 users note that Google Cloud Dataproc offers superior "Ease of Use" with a score of 9.0, with many reviewers appreciating its intuitive interface and straightforward setup process, which reduces the learning curve for new users.
- Users on G2 report that Apache Spark for Azure HDInsight has a slight edge in "Real-Time Data Collection" with a score of 8.9, with reviewers highlighting its robust capabilities for handling streaming data effectively.
- Reviewers mention that Google Cloud Dataproc's "Machine Scaling" feature, rated at 9.2, allows for dynamic resource allocation, which is particularly beneficial for fluctuating workloads, ensuring cost-effectiveness and performance optimization.
- Users say that while both platforms offer strong "Spark Integration," Google Cloud Dataproc leads with a score of 9.4, with many users praising its ability to leverage Spark's capabilities without extensive configuration, making it more user-friendly.
Pricing
Entry-Level Pricing
Apache Spark for Azure HDInsight
No pricing availableGoogle Cloud Dataproc
No pricing availableFree Trial
Apache Spark for Azure HDInsight
No trial information availableGoogle Cloud Dataproc
No trial information availableRatings
Meets Requirements
8.3
10
8.7
10
Ease of Use
8.5
10
9.0
10
Ease of Setup
Not enough data
Not enough data
Ease of Admin
Not enough data
Not enough data
Quality of Support
8.3
10
8.8
10
Has the product been a good partner in doing business?
Not enough data
Not enough data
Product Direction (% positive)
8.8
10
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
8.9
9
8.1
8
8.3
9
8.8
8
8.9
9
8.1
8
Integrations
9.4
9
9.0
8
8.9
9
9.4
8
Platform
8.7
9
9.2
8
8.3
9
7.9
8
8.9
9
9.4
8
Processing
8.7
9
9.0
8
8.1
9
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 Spark for Azure HDInsight and Google Cloud Dataproc are categorized as Big Data Processing and Distribution
Unique Categories
Apache Spark for Azure HDInsight has no unique categories
Google Cloud Dataproc is categorized as ETL Tools
Reviews
Reviewers' Company Size
Apache Spark for Azure HDInsight
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
Research
9.1%
Machinery
9.1%
Luxury Goods & Jewelry
9.1%
Information Technology and Services
9.1%
Higher Education
9.1%
Other
54.5%
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
Apache Spark for Azure HDInsight has no discussions with answers
Google Cloud Dataproc has no discussions with answers
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