Google BigQuery -- for the really big jobs at the lowest cost
March 11, 2024
Google BigQuery -- for the really big jobs at the lowest cost
Score 10 out of 10
Vetted Review
Verified User
Overall Satisfaction with Google BigQuery
My organization is primarily concerned with training individuals to use store and analyze large amounts of data in a manner that is fast and accurate. Google BigQuery makes it possible to use the Cloud's infrastructure (hardware and software) to accomplish its data analysis goals. Being able to pay for the time and space that is utilized offers significant cost savings, especially for smaller (and mid-size) businesses and those that do not possess adequate resources for establishing a high-capacity infrastructure.
- Allows for fast and efficient analysis of huge amounts of data
- Allows for running interactive and batch queries
- Allows for creation of dashboards and reports
- Allows for real-time analytics on a server-less architecture
- Streaming data can be expensive
- Does not support advanced Machine Learning and Deep Learning techniques
- Number of partitions in tables are limited to 4,000
- Google BigQuery's sandbox allows users to test features for free.
- Google BigQuery provides low cost storage (around $.02 per GB).
- Google BigQuery stores data column by column.
Google BigQuery is less expensive to run and offers free storage of up to the first 10 GB of data. Google BigQuery is also easier (and faster) to get up and running. Unlike Snowflake, Google BigQuery does not require any manual scaling or performance tuning. Scaling is completely automatic.
Do you think Google BigQuery delivers good value for the price?
Yes
Are you happy with Google BigQuery's feature set?
Yes
Did Google BigQuery live up to sales and marketing promises?
Yes
Did implementation of Google BigQuery go as expected?
Yes
Would you buy Google BigQuery again?
Yes