Google Cloud BigQuery Reviews & Product Details

I like the fact that it's intuitive enough for the price that it comes with. The free tier especially is useful for smaller datasets and helps to keep the cost down. Additionally, it is an enterprise tool by Google that is robust and reliable. Review collected by and hosted on G2.com.

I believe the main downside is that cost is unpredictable especially when it comes to large queries Review collected by and hosted on G2.com.

I have been using BigQuery for handling and analyzing massive datasets and the experience has been excellent, the best part I like is how quickly it processes complex queries, even with billions of rows. It feels like you don't have to worry about scaling, just write SQL and get results fast. What I like most is the seamless integration with other Google Cloud tools like Cloud Storage and Data Studio. Review collected by and hosted on G2.com.

The pricing is higher, it's kind of tricky, especially for teams not used to a pay-per-query system. If queries are not optimized, costs can add up. Also, debugging long queries sometimes feels harder compared to traditional databases. Review collected by and hosted on G2.com.

Server-less architecture. Able to handle big datasets effectively and efficiently. Review collected by and hosted on G2.com.

Need to predict query optimisation. Can lead to unexpected costs. Might be helpful to have more granular budget plans for individual users. Review collected by and hosted on G2.com.

I find Google Cloud BigQuery extremely advantageous for handling our organization's big data storage and data warehouse needs due to its remarkable speed and efficiency in querying large volumes of data. This efficiency significantly enhances our ability to process extensive datasets swiftly. I also appreciate the data partitioning and storage capabilities, along with its ability to keep track of data history, which are incredibly beneficial. Additionally, the capacity to build views and tables over our data paired with the integration options such as enabling Looker Studio and other dashboards allows us to gain valuable insights from our data seamlessly. Moreover, the support provided by the Google team is exemplary, consistently delivering prompt and effective resolutions to any issues we encounter. Review collected by and hosted on G2.com.

I find it expensive to perform simple queries like 'SELECT *' on very large tables in Google Cloud BigQuery. If there were a way to reduce these costs, it would be beneficial. Review collected by and hosted on G2.com.

As a Data engineer, I am working with massive datasets on a daily basis, BigQuery has completely helped me to make ETL easier. I like best is its serverless platform and blazing fast query performance. Also, I just love the seamless integration with Google Cloud ecosystem like BigQuery and cloud storage integration and also Tableau. It allows me to move data smoothly between systems and build automated pipelines without any issues. Review collected by and hosted on G2.com.

The pricing visibility for very large query runs sometimes heavy queries can become expensive if not optimized properly, better query cost estimation tools would make it easier to plan workload. Review collected by and hosted on G2.com.

I like Google Cloud BigQuery's ease of use interface where I can easily query using just SQL, and I'll be able to retrieve the data. The function is very simple, and the UI is very minimal and not cluttered. Review collected by and hosted on G2.com.

Things are going good, but apparently, the cost seems a bit high. Review collected by and hosted on G2.com.

BigQuery has become a core part of my daily workflows as a Senior Data specialist. What stands out the most is its ability to handle massive datasets easily. the architecture without any server removes the hassle of infra management. I like seamless integration with other Google Cloud services. SQL based interface makes it accessible for both analyst and data scientist,and ability to run ML models directly in BigQuery has been a game changer for advanced analytics. Review collected by and hosted on G2.com.

Cost optimization can sometimes be tricky, especially for frequent queries on very large tables. Proper partitioning and clustering are required to keep costs under control. Review collected by and hosted on G2.com.

I like that Google BigQuery makes it effortless to analyze massive datasets at high speed without worrying about infrastructure. The serverless architecture scales automatically, and I can query billions of rows in seconds using standard SQL. Integration with Google Cloud services, built-in machine learning, and seamless connection to tools like Looker Studio make it very powerful for both data engineers and analysts. Review collected by and hosted on G2.com.

The main challenge with BigQuery is cost management—queries that aren’t optimized can become expensive quickly. Some SQL functions behave differently compared to traditional databases, so there’s a bit of a learning curve. Also, transactional operations and frequent row-level updates are limited, which makes it less suitable for OLTP-type workloads. Review collected by and hosted on G2.com.

As a Data analyst, i use BigQuery almost daily to query, clean and analyze large datasets. I really like how easy it is to connect BigQuery with visualization tools like Looker studio and Tableau. The integration with Google sheets is also very handy for lightweight reporting when stakeholders prefer a simple spreadsheet format. The UI is very friendly. and the ability to write queries directly in the browser is convenient for analysis. its very easy to implementation. Review collected by and hosted on G2.com.

The main challenge is cost management. Since BigQuery charges based on data processed, exploratory analysis can become expensive if queries are not optimized. Review collected by and hosted on G2.com.

BigQuery is fast, serverless, and lets me focus on clean SQL instead of worrying about servers or infrastructure, which makes data analysis feel smooth and efficient Review collected by and hosted on G2.com.

Pricing is confusing, setup (project + billing) feels complex, and the UI can be cluttered for learners who just want a simple, safe place to practice queries Review collected by and hosted on G2.com.