Google Cloud BigQuery Reviews & Product Details

BigQuery is the my favorite tool for ETL. as a SQL developer, i really like how it allows me to work with very large datasets using standard SQL. the query execution speed is excellent, even when dealing with billions of records. The Ui is so clean and i can easily connect it with BI tools like Tableau, Looker studio ,Power BI and other tools to visualize results. I mean its really very powerful, and anyone can use and implement it very easily. Review collected by and hosted on G2.com.

its very powerful but some advance SQL functions work slightly differently in BigQuery compared to traditional databases like MySQL or PostgreSQL so it takes a little time to get used to. Review collected by and hosted on G2.com.

the 1st thing i like is that its Google, and second thing is i really appreciate how powerful and effortless it is. The traditional SQL queries run slower on Big Datasets. but on BigQuery, queries run so fast on billions of rows without any extra servers or infrastructures . it very scalable for real time data too. also the BigQuery ML is very useful to create ML models on prediction and the data visualization is easy with Looker. and the integration with other GCP services like Cloud storage, dataflow and pub/sub makes my ETL and analytics pipelines smooth Review collected by and hosted on G2.com.

i dont face any kind of issues to dislike it. i mean its very good and powerful platform. yeah i heard that it expensive but also it provides best service so its worth it. Review collected by and hosted on G2.com.

I am a Junior Data analyst, and i am using Google cloud from last 3 years, and BigQuery is one of my fav tool, i really like how simple it is, it handle and query large datasets. even i don't know advance SQL, the interface is very user friendly and easy to learn. The speed is amazing, i can run complex queries on millions of rows and it gives results in seconds. also its integration is awesome, it integrates with google sheets and looker studio for dashboarding, and its Google, so the Google environment works smoothly with each Google software. Review collected by and hosted on G2.com.

before using it in my company, i have used it for personal use also, for my projects , so i have faced that the billing cost is very high, many time , the charges were cut from my bank account. Review collected by and hosted on G2.com.

I use it to ingest data from various data sources and integrate it into Tines and Looker Studio dashboards. Review collected by and hosted on G2.com.

The complex fields can be confusing when working with the data, but it’s not a major issue. Review collected by and hosted on G2.com.

I don’t have to manage the infrastructure manually, and the interface is user-friendly. Performance is very high (compared to Redshift, for instance), and partitioning and clustering are straightforward to configure and maintain over time. Time travel is another feature I’ve found really valuable.

Another major advantage is the seamless integration within GCP and S3NS, as well as its compatibility with tools like dbt.

On top of that, I had a very good experience with Google’s partner support : They were able to help effectively with actionable advice. Review collected by and hosted on G2.com.

Managing costs can be tricky, and I think it should be made more obvious that partitioning and incremental strategies are essential. Full refresh patterns can be costly too, so it would be helpful to have clearer guidance on when to avoid them and what to use instead. Review collected by and hosted on G2.com.

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.