BigQuery Reviews

Name: BigQuery
Brand: Google
Rating: 4.1 (38 reviews)

4.1 out of 5

38 reviews
100% willing to recommend

What is BigQuery?

BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure. ... You can control access to both the project and your data based on your business needs, such as giving others the ability to view or query your data.

Get the BigQuery Buyer's Guide and find out what your peers are saying about BigQuery, Azure Data Factory, Snowflake and more!

BigQuery is the #5 ranked solution in top Cloud Data Warehouse solutions. PeerSpot users give BigQuery an average rating of 8.2 out of 10. Based on the analysis of the 38 most recent BigQuery reviews, the overall sentiment is positive, with a sentiment score of 7.6. (The highest in the category). BigQuery is most commonly compared to Azure Data Factory: BigQuery vs Azure Data Factory. BigQuery is popular among the large enterprise segment, accounting for 67% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 16% of all views.

Helped 823,875 peers since 2012

Featured reviews

Sathishkumar Jayaprakash

Engineer at HTC Global Services (INDIA) Private

BigQuery allows for very fast access, and it is efficient in handling large datasets compared to other SQL databases. It integrates well with other GCP products, and creating subscriptions in the UI is straightforward. The whole ecosystem of GCP products makes BigQuery beneficial for our data-handling tasks. Additionally, it is more cost-effective compared to alternatives like AWS.

Read full review

VikashKumar1

Tech lead at Ford Motor Company

Since I used BigQuery over the GCP cloud environment, I'm not sure whether we can go through internal IDEAs like IntelliJ or DBeaver that we use to connect with databases. Instead of connecting directly to BigQuery, we connect to GCP, Cloud Run, and then to BigQuery, which is a long process. Sometimes, we face some issues, bugs, and defects. We must first connect with a VPN to check data issues while working from home. Then, it allows you to connect to the cloud. After logging into the cloud, it searches for the service we are looking for, and then we go to BigQuery. This is a long process. After that, we analyze the issues in a table. Instead, it would be very helpful if it could provide a tool that we can install on our MacBook or Windows system. Once we open this tool, we can connect directly to the BigQuery server and easily perform tasks.

Read full review

Mohamed Tahri

Head of Insights and Data Middle East at Capgemini

To be very specific, here in the Middle East, I'm based out of the UAE, and Google has a very narrow footprint, a very limited footprint here in the region. There is a lack or absence of local data residency compliance. They don't have a local data center here. Therefore, most of the big organizations like banks, and companies in the highly regulated public sector, are not using BigQuery products as it means that the data will have to move out of the country. We'd like to see more local data residency.

Read full review

BigQuery mindshare

As of December 2024, the mindshare of BigQuery in the Cloud Data Warehouse category stands at 9.1%, up from 7.3% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Cloud Data Warehouse

PeerAnalyst reports

Type	Title	Date
Category	Cloud Data Warehouse	Dec 18, 2024	Download
Product	Reviews, tips, and advice from real users	Dec 18, 2024	Download
Comparison	BigQuery vs Snowflake	Dec 18, 2024	Download
Comparison	BigQuery vs Microsoft Azure Synapse Analytics	Dec 18, 2024	Download
Comparison	BigQuery vs Azure Data Factory	Dec 18, 2024	Download

Title	Rating	Mindshare	Recommending
Azure Data Factory	4.0	12.8%	92%	86 interviews Add to research
Snowflake	4.2	28.9%	97%	98 interviews Add to research

Valuable Features

"Its integration with other tools like Atlan through a Google Chrome extension is highly beneficial."
"The most valuable aspect of BigQuery is its ability to handle high data workloads without causing friction with our online systems."
"BigQuery's querying capabilities are very optimized for large datasets."

Room for Improvement

"It can be slower and more problematic compared to other platforms such as Snowflake."
"Sometimes, support specialists might not have enough experience or business understanding, which can be an issue."
"It would be beneficial if BigQuery could be made more affordable."

ROI

Organizations experienced cost savings and improved performance after adopting BigQuery, achieving a 27% performance boost and reducing costs by 17%. Although there was an initial six-month learning period, significant returns were realized within a year. BigQuery offers seamless, efficient management of large datasets with powerful data querying and analysis tools. While direct documentation on returns wasn't provided, it is noted for being more cost-effective compared to AWS, making it a compelling choice for many.

Pricing

"We are above the free threshold, so we are paying around 40 euros per month for BigQuery."
"The product operates on a pay-for-use model. Costs include storage and query execution, which can accumulate based on data volume and complexity."
"The platform is inexpensive."