My Experience with Google BigQuery.
March 15, 2024
My Experience with Google BigQuery.
Score 9 out of 10
Vetted Review
Verified User
Overall Satisfaction with Google BigQuery
We have used Google's big query to store and analyze vast amounts of data. In today's time, every organization requires real-time insights from the data. BigQuery can be Integrated with popular BI tools to visualize data and generate actionable insights, aiding in department decision-making processes. With BigQuery, we have a centralized repository for all organizational data, facilitating easy access for analysis and reporting.
- Scale automatically to handle datasets of any size.
- BigQuery can perform extremely fast SQL queries across vast datasets.
- Pay-as-you-go model, BigQuery allows users to pay only for the data processed and stored.
- It is challenging to predict costs due to BigQuery's pay-per-query pricing model. User-friendly cost estimation tools, along with improved budget alerting features, could help users better manage and predict expenses.
- The BigQuery interface is less intuitive. A more user-friendly interface, enhanced documentation, and built-in tutorial systems could make BigQuery more accessible to a broader audience.
- Cost Effective as its pricing model allows businesses to pay only for the data they process.
- It requires a certain level of expertise to use effectively. Companies may need to invest in training or hire specialists.
BigQuery can automatically scale to accommodate the data and query load, providing potentially unlimited scalability. At the same time, Redshift requires manual scaling efforts to increase or decrease capacity, which might affect performance during scaling operations.
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