Google BigQuery

What differentiates Google BigQuery from other similar products?

Google BigQuery is among the fastest, most user-friendly, cloud-based data-querying technologies available. The best ever aspect is that it grants us access to a vast data processing and storage system that can deal with even the most difficult requests. With Google BigQuery, query execution is incredibly quick, and the underlying engine constantly seeks to scale or improve query performance to fulfill SLAs.

What is your favorite aspect of this product?

With Google BigQuery, we can create a robust and comprehensive data warehouse with full reporting and dashboarding capabilities for our company. I enjoyed Big data access and validation using a straightforward browser and data cleaning to produce reliable results. Ml was made easy by Google BigQuery. Due to the fact that we don't have to pay for hardware, it is significantly more affordable than on-site data storage.

What do you dislike most about this product?

One problem that I have encountered there is that BigQuery does not support all SQL statements. You must have a basic understanding of coding to use this platform. It could cost you a lot of money if you use incorrect code and submit all the data to a huge query. Finding some tables and pinning a project can be challenging in some circumstances.

What recommendations would you give to someone considering this product?

Without a doubt, I'd advise it. Companies that have the ability to evaluate information from several different sources might learn important details about the actions of their customers. Google BigQuery is an effective tool for data analytics since it offers quick access to vital corporate data. The best tool for handling extraordinarily massive volumes of data is Google BogQuery.

What differentiates Google BigQuery from other similar products?

In our company, we use BigQuery to hold incredibly detailed data. Our end-users and staff are then given extremely thorough reports based on the data that has been gathered. Members of Google Support are excellent at solving problems and answering questions. Any concerns or questions will be promptly addressed professionally, along with suggestions for how the offered solutions might be improved.

What is your favorite aspect of this product?

A vast number of datasets can be stored by Google BigQuery at the most subtle level. Query execution is done extremely quickly even in seconds when compared to conventional SQL servers. Ingesting files and APIs in batches and streams can be readily possible. Automating reporting and refinement, executing business logic, merging data from many sources, and reformatting are all simple with Google BigQuery.

What do you dislike most about this product?

Sometimes utilizing Google BigQuery can be problematic due to the different syntax requirements. You must take precautions while conducting any queries because the expense is too high: we have to pay per query. It can be a little hard to handle somebody with less technical understanding because it calls for SQL knowledge.

What recommendations would you give to someone considering this product?

Moving to Google BigQuery just makes perfect sense if your business has a huge amount of data and you require quick data processing; otherwise, there are less expensive options available. So, after carefully evaluating your needs, implement it if you determine that it is required for your business setting.

What differentiates Google BigQuery from other similar products?

Google BigQuery answers the problem of clarity in terms of the monthly payment, usage, and how to provide users access to various directories. Additionally, it enables total interaction with other elements of the Google Suite which make it more unique and competitive in the market. Simple to use even for those team members who are unfamiliar with cloud platforms.

What is your favorite aspect of this product?

The most significant part of Google BigQuery is that it is one of the best SQL data management solutions and the second amazing benefit is that it does not require managing instances or scaling clusters. It is one of the quickest, simplest, and least expensive methods I am aware of on the market. Additionally, it is more helpful for combining data from several other outside sources.

What do you dislike most about this product?

The layout of the UI/UX makes it initially challenging to utilize on a small display. If you just want a local setup, you can't utilize it outside of the Google cloud platform, which is the main downside. Setup is generally standard, and data schema customization is minimal.

What recommendations would you give to someone considering this product?

It is the smartest and most reasonably-priced approach for a company or business that wishes to build data warehouse logic. Because of its apparent lack of unity within the Google ecosystem, Big Query can be a highly helpful solution for storing and accessing your material if you utilize Google suites.