G2 reviewers report that Google Cloud BigQuery excels in overall user satisfaction, boasting a significantly higher G2 Score compared to Matillion. Users appreciate its serverless architecture and the ability to handle large datasets efficiently, making data analysis feel smooth and effective.
Users say that Matillion's user-friendly interface is a standout feature, particularly for those new to ETL processes. The platform's visual interface simplifies complex workflows, allowing users to configure and understand the flow with ease, which is a big plus for many.
Reviewers mention that Google Cloud BigQuery's implementation process is quick and intuitive, with many users highlighting the pay-as-you-go model that simplifies operations and encourages experimentation without the need for extensive infrastructure management.
According to verified reviews, Matillion shines in its seamless integration with major cloud platforms like AWS, GCP, and Azure. Users appreciate this flexibility, which enhances its usability for various ETL tasks, making it a versatile choice for mid-market companies.
G2 reviewers note that while Matillion has a slightly higher ease of use rating, Google Cloud BigQuery offers superior performance in terms of scalability and speed, with users praising its ability to handle billions of queries efficiently, which is crucial for enterprise-level operations.
Users highlight that Google Cloud BigQuery's robust support for SQL and advanced analytics tools, such as BigQuery ML, significantly enhances its functionality, making it a preferred choice for organizations looking to leverage data for deeper insights and machine learning applications.
Pricing
Entry-Level Pricing
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?
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Legacy SQL is a non-standard SQL only used by BigQuery. Standard SQL is compliant with the SQL 2011.
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