Google BigQuery vs Sequel Pro: What are the differences?
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.; Sequel Pro: MySQL database management for Mac OS X. Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.
Google BigQuery belongs to "Big Data as a Service" category of the tech stack, while Sequel Pro can be primarily classified under "Database Tools".
Some of the features offered by Google BigQuery are:
- 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.
On the other hand, Sequel Pro provides the following key features:
- Quickly filter and paginate table content
- Fast, threaded UI
- Document based connections — Save your connection and share it
"High Performance" is the primary reason why developers consider Google BigQuery over the competitors, whereas "Free" was stated as the key factor in picking Sequel Pro.
Sequel Pro is an open source tool with 6.73K GitHub stars and 589 GitHub forks. Here's a link to Sequel Pro's open source repository on GitHub.
According to the StackShare community, Google BigQuery has a broader approval, being mentioned in 160 company stacks & 41 developers stacks; compared to Sequel Pro, which is listed in 46 company stacks and 23 developer stacks.
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