BigQuery Reviews

I would say that for our use cases, sticking with BigQuery made sense because we were using Google Analytics Data, which has direct integration with BigQuery.

The most valuable features of this solution, in my opinion, are speed and performance, as well as cost-effectiveness.

I haven't done much research on other competitors. As previously stated, I am unfamiliar with the Azure and AWS counterparts. I understand that Snowflake has made some improvements on its end to further reduce costs, so I believe BigQuery can catch up.

I have heard that BigQuery is being expanded to become more of a Lakehouse to support unstructured data, and I am looking forward to that.

I have been working with BigQuery for one year.

BigQuery is very stable.

I have not had any contact with technical support.

The major cloud providers' cloud solutions. We are using BigQuery for the Data Warehouse. And much of the stack we're working with is open source. If you've heard of the modern data stack, we've used a lot of them, such as DBT for data transformation and so on, which isn't really commercial, off-the-shelf software.

BigQuery is inexpensive.

We had previously evaluated products such as Informatica MDM, Microsoft MDS, Informatica Cloud Test Data Manager, IBM InfoSphere MDM, and Tipco XBX; however, I was unable to secure management funding to implement these solutions. I left the company I was working for at the time, and yes, I stopped focusing on MDM. I just focused on my bread and butter, which is BI.

The company is an enterprise customer of Google.

I would rate BigQuery an eight out of ten.

The solution is mostly used for data analysis. We can store data and use the tool for data analysis. 

The product is serverless. We only need to write SQL queries to analyze the data. We need to pay based on the number of queries. The retrieval time is very less. Even if you write large queries, the tool is able to bring back data in a few seconds. 

The solution should reduce its pricing. 

I have been working with the product for more than five years. 

The product's stability is great because of Google's servers.

The solution is scalable and we can scale up to petabytes of data. My company has more than 100 users for the product. 

We seek support whenever there are quota issues. 

The product's setup is straightforward. The solution's setup does not take more than 30 minutes to complete. We need to create datasets and within the datasets, we need to create tables. 

1 TB is free of cost monthly. If you use more than 1 TB a month, then you need to pay 5 dollars extra for each TB. 

I would rate the solution a nine out of ten. SQL knowledge is required to work on the query.

We use BigQuery for data warehousing. 

We like the machine learning features and the high-performance database engine. 

I have used BigQuery for about three years.

I rate BigQuery 10 out of 10 for stability. 

I rate BigQuery 10 out of 10 for scalability because it's a fully managed solution.

Setting up BigQuery is easy because it's a managed database.

I rate BigQuery six out of 10 for affordability. It could be cheaper. 

We compared BigQuery to Oracle. In my opinion, BigQuery is better because it's fully managed and less expensive. 

I rate BigQuery seven out of 10.