G2 reviewers report that Google Cloud BigQuery excels in speed and efficiency, with users highlighting its serverless architecture that allows them to focus on clean SQL without worrying about infrastructure. This makes data analysis feel smooth and efficient, especially for handling large datasets.
Users say Oracle Exadata Cloud Service offers high performance for heavy report generation, with some praising its quick deployment and management by individual users. This makes it a strong choice for enterprises looking for robust performance in their data operations.
Reviewers mention that Google Cloud BigQuery's pay-as-you-go model simplifies operations, allowing users to pay only for the storage and compute they use. This flexibility is particularly appealing for organizations that want to experiment with larger datasets without upfront costs.
According to verified reviews, Oracle Exadata Cloud Service is recognized for its scalability and security, making it a cost-effective solution for enterprises that require integration with other cloud services while maintaining high security standards.
G2 reviewers highlight that while both products have similar scores for ease of administration, Google Cloud BigQuery slightly edges out with its user-friendly interface, making it easier for users to navigate and manage their data analytics tasks.
Users express that Oracle Exadata Cloud Service, while strong in certain areas, has fewer recent reviews compared to Google Cloud BigQuery, which has a substantial number of recent user feedback. This suggests that BigQuery may be more actively used and updated, reflecting current user needs and experiences.
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?
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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