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Compare Azure Data Lake Store and Google Cloud Dataproc

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At a Glance
Azure Data Lake Store
Azure Data Lake Store
Star Rating
(39)4.5 out of 5
Market Segments
Enterprise (44.4% of reviews)
Information
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure Data Lake Store
Google Cloud Dataproc
Google Cloud Dataproc
Star Rating
(17)4.4 out of 5
Market Segments
Mid-Market (46.7% of reviews)
Information
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Google Cloud Dataproc
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 Hadoop ecosystems. In contrast, Azure Data Lake Store, while still strong, has a slightly lower score of 8.9, indicating it may not be as seamless for Hadoop users.
  • Reviewers mention that Google Cloud Dataproc offers superior Spark Integration, scoring 9.4, which is beneficial for users looking to leverage Spark for big data processing. Azure Data Lake Store, with a score of 8.6, may not provide the same level of integration, potentially impacting performance for Spark-centric workflows.
  • G2 users highlight that Azure Data Lake Store shines in Data Preparation, achieving a score of 9.1, which suggests it provides robust tools for preparing data for analysis. In comparison, Google Cloud Dataproc's score of 7.9 indicates it may lack some of the advanced features that users find valuable in data preparation tasks.
  • Users on G2 report that Azure Data Lake Store has a higher score of 9.2 in Workload Processing, suggesting it handles diverse workloads more efficiently than Google Cloud Dataproc, which scored 8.3. This could be a critical factor for businesses with varying data processing needs.
  • Reviewers mention that Google Cloud Dataproc has a strong performance in Cloud Processing with a score of 9.0, indicating reliable cloud-based processing capabilities. Azure Data Lake Store, while also strong at 9.3, may offer additional features that enhance its cloud processing performance.
  • Users say that Google Cloud Dataproc's ease of use is rated at 9.0, making it user-friendly for teams new to cloud data processing. In contrast, Azure Data Lake Store's ease of use score of 8.6 suggests that it may have a steeper learning curve for some users.
Pricing
Entry-Level Pricing
Azure Data Lake Store
No pricing available
Google Cloud Dataproc
No pricing available
Free Trial
Azure Data Lake Store
No trial information available
Google Cloud Dataproc
No trial information available
Ratings
Meets Requirements
9.2
34
8.7
10
Ease of Use
8.7
34
9.0
10
Ease of Setup
9.2
21
Not enough data
Ease of Admin
8.5
19
Not enough data
Quality of Support
9.1
33
8.8
10
Has the product been a good partner in doing business?
8.7
18
Not enough data
Product Direction (% positive)
9.3
33
8.8
10
Features by Category
Not enough data
Not enough data
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
Big Data Processing and DistributionHide 10 FeaturesShow 10 Features
9.0
32
8.7
9
Database
9.1
26
8.1
8
8.9
26
8.8
8
9.1
28
8.1
8
Integrations
8.9
23
9.0
8
8.7
24
9.4
8
Platform
8.9
25
9.2
8
9.1
27
7.9
8
8.7
24
9.4
8
Processing
9.3
27
9.0
8
9.2
26
8.3
8
Not enough data
Not enough data
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 Lake Store
Azure Data Lake Store
Google Cloud Dataproc
Google Cloud Dataproc
Azure Data Lake Store and Google Cloud Dataproc are categorized as Big Data Processing and Distribution
Unique Categories
Azure Data Lake Store
Azure Data Lake Store has no unique categories
Google Cloud Dataproc
Google Cloud Dataproc is categorized as ETL Tools
Reviews
Reviewers' Company Size
Azure Data Lake Store
Azure Data Lake Store
Small-Business(50 or fewer emp.)
27.8%
Mid-Market(51-1000 emp.)
27.8%
Enterprise(> 1000 emp.)
44.4%
Google Cloud Dataproc
Google Cloud Dataproc
Small-Business(50 or fewer emp.)
20.0%
Mid-Market(51-1000 emp.)
46.7%
Enterprise(> 1000 emp.)
33.3%
Reviewers' Industry
Azure Data Lake Store
Azure Data Lake Store
Information Technology and Services
41.7%
Computer Software
8.3%
Automotive
8.3%
Insurance
5.6%
Manufacturing
2.8%
Other
33.3%
Google Cloud Dataproc
Google Cloud Dataproc
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
Azure Data Lake Store
Azure Data Lake Store Alternatives
Snowflake
Snowflake
Add Snowflake
Apache Beam
Apache Beam
Add Apache Beam
Amazon EMR
Amazon EMR
Add Amazon EMR
Google Cloud BigQuery
Google Cloud BigQuery
Add Google Cloud BigQuery
Google Cloud Dataproc
Google Cloud Dataproc Alternatives
Databricks Data Intelligence Platform
Databricks Data Intelligence Platform
Add Databricks Data Intelligence Platform
Azure Data Factory
Azure Data Factory
Add Azure Data Factory
Amazon EMR
Amazon EMR
Add Amazon EMR
Cloudera
Cloudera
Add Cloudera
Discussions
Azure Data Lake Store
Azure Data Lake Store Discussions
Monty the Mongoose crying
Azure Data Lake Store has no discussions with answers
Google Cloud Dataproc
Google Cloud Dataproc Discussions
Monty the Mongoose crying
Google Cloud Dataproc has no discussions with answers