G2 reviewers report that Google Cloud BigQuery excels in user experience, highlighting its serverless architecture which allows users to focus on data analysis without worrying about infrastructure. This makes it particularly appealing for those who want a smooth and efficient workflow.
Users say that Amazon EMR provides robust capabilities for running complex business logic on large datasets, making it a strong choice for organizations that need to process data from various sources. Its support for popular applications like Spark and Flink is frequently praised.
Reviewers mention that Google Cloud BigQuery's pay-as-you-go model simplifies operations, allowing users to experiment with larger datasets without the need for upfront provisioning of clusters. This flexibility is a significant advantage for teams looking to scale their data operations.
According to verified reviews, Amazon EMR shines in its scalability features, with users appreciating the ease of launching and cloning clusters. This capability is particularly beneficial for teams that require quick adjustments to their computing resources based on workload demands.
G2 reviewers highlight that Google Cloud BigQuery has a higher overall satisfaction score, with users noting its fast query performance and ability to handle billions of queries efficiently. This performance edge is a key factor for organizations that rely on timely data insights.
Users report that while Amazon EMR offers powerful tools for big data solutions, it can sometimes be less intuitive compared to BigQuery. Some users have mentioned challenges with configuration, which can impact the overall user experience for those less familiar with the platform.
Pricing
Entry-Level Pricing
Amazon EMR
No pricing available
Google Cloud BigQuery
Free
Free
New customers get $300 in free Google Cloud credits to spend on BigQuery with free trial sign-up.
Yes, Bigquery is a GCP product and a serveless data wharehouse.Read more
How BQ legacy SQl is different form the standard SQL?
1 Comment
OD
Legacy SQL is a non-standard SQL only used by BigQuery. Standard SQL is compliant with the SQL 2011.
Google recommends using Standard SQL and looking at the...Read more
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