Azure Storage vs Google BigQuery: What are the differences?
What is Azure Storage? Reliable, economical cloud storage for data big and small. Azure Storage provides the flexibility to store and retrieve large amounts of unstructured data, such as documents and media files with Azure Blobs; structured nosql based data with Azure Tables; reliable messages with Azure Queues, and use SMB based Azure Files for migrating on-premises applications to the cloud.
What is Google BigQuery? Analyze terabytes of data in seconds. Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python..
Azure Storage can be classified as a tool in the "Cloud Storage" category, while Google BigQuery is grouped under "Big Data as a Service".
Some of the features offered by Azure Storage are:
- Blobs, Tables, Queues, and Files
- Highly scalable
- Durable & highly available
On the other hand, Google BigQuery provides the following key features:
- All behind the scenes- Your queries can execute asynchronously in the background, and can be polled for status.
- Import data with ease- Bulk load your data using Google Cloud Storage or stream it in bursts of up to 1,000 rows per second.
- Affordable big data- The first Terabyte of data processed each month is free.
"All-in-one storage solution" is the primary reason why developers consider Azure Storage over the competitors, whereas "High Performance" was stated as the key factor in picking Google BigQuery.
According to the StackShare community, Google BigQuery has a broader approval, being mentioned in 160 company stacks & 41 developers stacks; compared to Azure Storage, which is listed in 84 company stacks and 44 developer stacks.