Users report that Google Cloud BigQuery excels in data integration with a score of 9.0, allowing seamless connections to various data sources, which reviewers mention as a significant advantage for enterprises needing to consolidate data from multiple platforms.
Reviewers mention that Azure Databricks shines in real-time analytics, scoring 8.8, which users say enhances their ability to make timely decisions based on live data streams, a feature that is particularly beneficial for businesses in fast-paced environments.
G2 users highlight that Google Cloud BigQuery's data compression capabilities, rated at 8.3, help in reducing storage costs, with reviewers noting that this feature is crucial for managing large datasets efficiently.
Users on G2 report that Azure Databricks offers superior notebooks functionality, scoring 9.3, which reviewers say provides a more interactive and collaborative environment for data scientists and analysts compared to BigQuery's offerings.
Reviewers mention that Google Cloud BigQuery's scalability is a standout feature, with a score of 9.3, allowing businesses to handle increasing data loads without performance degradation, which is a critical factor for growing enterprises.
Users say that Azure Databricks provides better Spark integration, scoring 9.0, which reviewers highlight as essential for organizations leveraging big data processing frameworks, making it a preferred choice for data engineering tasks.
Pricing
Entry-Level Pricing
Azure Databricks
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.
Firstly, you need to create a Linked Service for ADF to connect to your Databricks Cluster. You can connect to as many clusters as you want.
Then create a...Read more
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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