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BigQuery pros and cons

Vendor: Google
4.1 out of 5
Badge Leader

Pros & Cons summary

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Prominent pros & cons

PROS

BigQuery efficiently handles large datasets and processes them rapidly, enhancing productivity and query performance.
It supports standard SQL and offers strong performance in managing complex queries on massive datasets.
BigQuery is highly scalable and allows users to adjust storage and compute resources independently, supporting extensive data growth.
Users appreciate BigQuery’s compatibility with external data visualization tools like Power BI and Tableau, aiding in seamless data integration and analysis.
BigQuery's machine learning capabilities enable predictions and insights, leveraging Google’s advanced AI technologies.

CONS

BigQuery can be very expensive if not used properly, making it less affordable for small and medium-sized businesses.
Initial data migration to cloud-based platforms presents significant challenges.
Integration with other tools like Cloud Logging and Local Studio is needed to enhance capabilities and facilitate innovative analyses.
Scalability and performance issues arise, particularly with exporting data to BigQuery from other tools.
Caching options are limited to native tables, with no cache available for external tables, presenting drawbacks for organizations relying on external data sources.
 

BigQuery Pros review quotes

Mikah Sellers - PeerSpot reviewer
Principal at Sgt Suds
Oct 14, 2025
The best features of BigQuery for me are the fact that it's low-code, no-code; you don't have to be a data scientist to really utilize the tool.
reviewer2807520 - PeerSpot reviewer
Director at a consultancy with 11-50 employees
Mar 6, 2026
The features I have found most valuable in BigQuery include the query cache, which is good and scales well; it handles huge amounts of data quite well, and the multi-regions feature works well.
Jitender Singh_ - PeerSpot reviewer
Senior Manager - Consulting & Alliances at a outsourcing company with 51-200 employees
Jul 7, 2026
Using BigQuery has positively impacted our organization by really increasing our ability to query the data efficiently.
Learn what your peers think about BigQuery. Get advice and tips from experienced pros sharing their opinions. Updated: August 2026.
908,800 professionals have used our research since 2012.
Luís Silva - PeerSpot reviewer
Chief Technical Lead at a consultancy with 201-500 employees
May 19, 2025
This solution is highly scalable.
JorgeADiaz - PeerSpot reviewer
Expert Analyst at a healthcare company with 5,001-10,000 employees
Jan 10, 2025
The initial setup is simple.
JR
Sr. Team Lead - IT at InfoStretch
Dec 24, 2024
BigQuery processes a substantial amount of data, whether in gigabytes or terabytes, swiftly producing desired data within one or two minutes.
VikashKumar1 - PeerSpot reviewer
Tech lead at Ford Motor Company
Aug 23, 2024
The solution is very useful nowadays for keeping a huge number of records.
Mediha Šiljić - PeerSpot reviewer
Lead Data Engineer at Sensilab
Nov 6, 2024
BigQuery's querying capabilities are very optimized for large datasets.
Sathishkumar Jayaprakash - PeerSpot reviewer
Engineer at HTC Global Services (INDIA) Private
Nov 4, 2024
BigQuery allows for very fast access, and it is efficient in handling large datasets compared to other SQL databases.
reviewer1659204 - PeerSpot reviewer
Senior Manager.Marketing Strategy & Analysis. at a computer software company with 10,001+ employees
Aug 19, 2024
The product's most valuable features include its scalability and the ability to handle complex queries on large datasets.
 

BigQuery Cons review quotes

Mikah Sellers - PeerSpot reviewer
Principal at Sgt Suds
Oct 14, 2025
There are areas that could be improved with BigQuery, such as more bolt-on capabilities and the ability to use more bolt-ons for APIs.
reviewer2807520 - PeerSpot reviewer
Director at a consultancy with 11-50 employees
Mar 6, 2026
With what I have seen in BigQuery, I had some response times problems, but then it is an analytical database and not a transactional database, so it comes with eventual consistency.
Jitender Singh_ - PeerSpot reviewer
Senior Manager - Consulting & Alliances at a outsourcing company with 51-200 employees
Jul 7, 2026
For a small use case, it is really reliable and accurate, but for larger environments having enterprise data, it can be a little bit tricky, and I cannot really trust the outcome that the AI model gives, so I need to also verify it before executing in my real environment.
Learn what your peers think about BigQuery. Get advice and tips from experienced pros sharing their opinions. Updated: August 2026.
908,800 professionals have used our research since 2012.
Luís Silva - PeerSpot reviewer
Chief Technical Lead at a consultancy with 201-500 employees
May 19, 2025
BigQuery can be very expensive if not used properly. Introducing AI tools that would allow you to optimize the data extraction process is an area of serious improvement.
JorgeADiaz - PeerSpot reviewer
Expert Analyst at a healthcare company with 5,001-10,000 employees
Jan 10, 2025
When I open many of the Google Cloud products, I am in an environment that I do not feel familiar with; it is a little overwhelming.
JR
Sr. Team Lead - IT at InfoStretch
Dec 24, 2024
When I execute a query, the dashboard doesn't always present the output seamlessly. Troubleshooting requires opening each pipeline individually, which is time-consuming.
VikashKumar1 - PeerSpot reviewer
Tech lead at Ford Motor Company
Aug 23, 2024
Instead of connecting directly to BigQuery, we connect to GCP, Cloud Run, and then to BigQuery, which is a long process.
Mediha Šiljić - PeerSpot reviewer
Lead Data Engineer at Sensilab
Nov 6, 2024
It would be beneficial if BigQuery could be made more affordable.
Sathishkumar Jayaprakash - PeerSpot reviewer
Engineer at HTC Global Services (INDIA) Private
Nov 4, 2024
There is a limitation when copying data directly from BigQuery; it only supports up to ten MB when copying data to the clipboard.
reviewer1659204 - PeerSpot reviewer
Senior Manager.Marketing Strategy & Analysis. at a computer software company with 10,001+ employees
Aug 19, 2024
The product could benefit from improvements in user-friendliness, particularly in terms of the user interface.