An overview of Google BigQuery
April 22, 2024
An overview of Google BigQuery
Score 7 out of 10
Vetted Review
Verified User
Overall Satisfaction with Google BigQuery
In our company, we use Google BigQuery to make analyzing data easier and help us make better decisions. It's great because it lets us look at big amounts of data quickly without needing lots of complicated setups. Anyone in our team can use it because it's simple to understand and helps us find important information from our data. We also connect it with other tools we use to make our work smoother. We use it for things like understanding how our team is doing, seeing how people use our products, some teams use it for managing their finances, and keeping track of how well systems are running. All in all, Google BigQuery is really important for us to do our work well.
- First and foremost - Google BigQuery is great at quickly analyzing large amounts of data, which helps us understand things like customer behavior or product performance without waiting for a long time.
- It is very easy to use. Anyone in our team can easily ask questions about our data using simple language, like asking ChatGPT a question. This means everyone can find important information from our data without needing to be a data expert.
- It plays nicely with other tools we use, so we can seamlessly connect it with things like Google Cloud Storage for storing data or Data Studio for creating visual reports. This makes our work smoother and helps us collaborate better across different tasks.
- Please expand the availability of documentation, tutorials, and community forums to provide developers with comprehensive support and guidance on using Google BigQuery effectively for their projects.
- If possible, simplify the pricing model and provide clearer cost breakdowns to help users understand and plan for expenses when using Google BigQuery. Also, some cost reduction is welcome.
- It still misses the process of importing data into Google BigQuery. Probably, by improving compatibility with different data formats and sources and reducing the complexity of data ingestion workflows, it can be made to work.
- In some places, Google BigQuery has helped us save some money by avoiding the need for expensive infrastructure and reducing some of the operational costs.
- Scalability is up-to-date and really helpful in multiple places.
- Knowledge transfer is easy as it is very user-friendly, so the learning curve has been reduced.
- Also, it gives us more insights from our data, helping us make smarter decisions for our business.
There are some areas in which this product is better while there are some in which others do better. It's not like Google BigQuery surpasses them in every metric. For a holistic view, I will say we use this because of - scalability, performance, ease of use, and seamless integration with the Google Cloud ecosystem. Our eco-system was build around this so it was a go-to choice for us. The things that stand out include - scalability, performance and the serverless architecture.
Do you think Google BigQuery delivers good value for the price?
No
Are you happy with Google BigQuery's feature set?
Yes
Did Google BigQuery live up to sales and marketing promises?
I wasn't involved with the selection/purchase process
Did implementation of Google BigQuery go as expected?
Yes
Would you buy Google BigQuery again?
Yes