| The name of the base system (platform): | Google Cloud Platform (GCP) |
| Developers: | |
| Technology: | BI, Big Data, Cloud Computing, Data Mining |
Content |
When it comes to Big Data, it is most often assumed that their processing systems will be locally implemented by the customers themselves. Google is creating a service that will analyze huge amounts of data in the cloud.
The service is called BigQuery. With its help, organizations will be able to process their data without independently creating the appropriate infrastructure, said Google product manager Ju-Kay Kwek at the GigaOm Structure Data conference in New York.[1]
BigQuery is a service that allows you to create applications and share data, he added. Google offers it to individual users in trial mode. The timing of the full commissioning of BigQuery has not yet been announced.
Google considered it logical to create such a service, since the company has already developed some of its elements for internal use. "Web indexing is primarily the task of processing Big Data," says Kwek. Google's systems also broadly analyze the use of all sorts of the company's online services, such as Gmail. Analysis of operating data helps to understand which functions of services turned out to be useful and which did not.
It is extremely important for Google to save and analyze all the data generated by its services, the company says. "The'fine sand' analysis of the data is very valuable," states Kwek. - It is simply necessary to ask a lot of questions to the data. The more questions you ask, the smarter these questions become. "
Users of the trial version of the service test it in all kinds of ways. For example, a data set is loaded into it, and updates are subsequently added as they appear. Using Google's algorithms and query language, the data can be analyzed analytically. Banner network operators use the service to collect information about user actions and assess the effectiveness of advertising. Another customer, a hotel chain operator, analyzes its profitability using the service, making forecasts based on data from various financial systems.
The cloud model of Big Data analysis has a number of advantages, Kwek believes: most importantly, it eliminates the need for an organization to acquire and configure its own data storage. "Google takes on all the technical worries," he argues. - The service has built-in security and data backup mechanisms. This accelerates the extraction of useful information from Big Data. "
One of the BigQuery users is the French company We Are Cloud, which offers a business analysis system in the form of a cloud service called Bime. It is designed for small and medium-sized enterprises that may not have their own business analysis system and appropriate technical personnel. The service dashboard may receive information from a variety of sources, such as local relational databases. "Customers need tools like this to feel confident in their business," said Rachelle Delacourt, founder and CEO of We Are Cloud.
As a user of the BigQuery beta, the company has the right to offer Google to its customers. One of them, a telecommunications operator from the Middle East, downloaded 15 TB of data about its subscribers for analysis using Bime. According to Delacourt, she has no right to disclose how much money Google charges for data hosting, however, according to her, the tariff is quite acceptable.
"In a dynamic environment, using BigQuery is very convenient - the service almost instantly produces the results of processing giant datasets," says the head of We Are Cloud.
History
2025: How Google deceives developers and charges them $5,000 each for one request in the cloud
At the end of August 2025, it became known that Google charges developers of blockchain solutions huge sums for working with cloud tools. In particular, one request to the BigQuery service can cost $5,000.
BigQuery is a serverless data warehouse offered by the Google Cloud cloud platform. It is designed to analyze large data sets using the Structured Query Language (SQL). The capabilities of artificial intelligence have been implemented.
According to CoinTelegraph, the developers of the third generation high-speed blockchain Solana complain that Google is issuing huge bills for requests to BigQuery, which could be devastating. This is due to the peculiarities of pricing mechanisms, which do not allow setting monthly limits. In October 2023, Solana was integrated with BigQuery, allowing users to request blockchain data, such as NFT transaction or sales information, through Google Cloud.
 | Each month, my bill is usually a few hundred dollars. This month I received an invoice of $18,000. It turned out that I made three large calls to Solana with on-demand restrictions, and each of them cost more than $5,000, one of the developers wrote, adding that after a complaint to Google support, the fee was reduced to $4,000 per request. |  |
The problem is also reported by other industry participants. In particular, another developer said that he was also charged $5,000 for "one selection request from the Solana table," which "accidentally" scanned several terabytes of data.
| | They deliberately do not allow you to set strict restrictions, - emphasizes Ermin Nurovic, co-founder of the synthetic dollar protocol Flat Money.[2] | |
2024: Service outage in Russia
In mid-August 2024, it became known that the American corporation Google turned off the cloud platform for data analysis BigQuery in Russia. The corresponding notifications were received by platform users in the Russian Federation.
According to TASS, citing information received from Softline, only a single platform for analyzing BigQuery data will stop working in Russia. At the same time, cloud services Google Workspace and Google Cloud will continue to function.
The BigQuery service has been operating in Russia since 2014. The platform is designed to handle a large amount of data. At the same time, it is possible to use artificial intelligence algorithms.
On September 12, 2024, the Ministry of Finance's ban USA on the supply of "any person in the Russian Federation" services IT consulting and design and IT support services and cloud services for enterprise management, as well as software for design and production comes into force. Google's ban is associated with these norms.[3]
Notes
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