BigQuery vs Infobright DB comparison

"The feature called calibrating the capacity is valuable."

"BigQuery is a powerful tool for managing and analyzing large datasets. The versatility of BigQuery extends to its compatibility with external data visualization tools like Power BI and Tableau. This means you not only get query results but can also seamlessly integrate and visualize your data for better insights."

"BigQuery has a very nice interface that you can easily learn if you know SQL."

"It stands out in efficiently handling internal actions without the need for manual intervention in tasks like building cubes and defining final dimensions."

"BigQuery excels at data analysis. It processes vast amounts of information using its advanced architecture and sophisticated querying capabilities, making it crucial for critical insights and safe for handling sensitive data."

"It's straightforward to set up."

"What I like most about BigQuery is that it's fast and flexible. Another advantage of BigQuery is that it's easy to learn."

"BigQuery can be used for any type of company. It has the capability of building applications and storing data. It can be used for OLTP or OLAP. It has many other products within the Google space."

"It has very amazing smart grid query feature for very fast aggregate queries across millions of rows"

"The processing capability can be an area of improvement."

"It would be beneficial if BigQuery could be made more affordable."

"So our challenge in Yemen is convincing many people to go to cloud services."

"For greater flexibility and ease of use, it would be beneficial if BigQuery offered more third-party add-ons and connectors, particularly for databases that don't have built-in integration options."

"When it comes to queries or the code being executed in the data warehouse, the management of this code, like integration with the GitHub repository or the GitLab repository, is kind of complicated, and it's not so direct."

"The main challenges are in the areas of performance and cost optimizations."

"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."

"We'd like to have more integrations with other technologies."

"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."

"BigQuery is inexpensive."

"The pricing is adaptable, ensuring that organizations can tailor their usage and costs based on their specific requirements and configurations within the Google Cloud Platform."

"The pricing is good and there are no additional costs involved."

"The price could be better. Usually, you need to buy the license for a year. Whenever you want more, you can subscribe to it, and you can use it. Otherwise, you can terminate the license. You can use it daily or monthly, and we use it based on a project's requirements."

"We are above the free threshold, so we are paying around 40 euros per month for BigQuery."

"Price-wise, I think that is very reasonable."

"I have tried my own setup using my Gmail ID, and I think it had a $300 limit for free for a new user. That's what Google is offering, and we can register and create a project."

"The solution's pricing is cheaper compared to other solutions."

"Our pricing was based on server instances and it was actually very cheap compared to Oracle. I guess you get what you pay for."