Google BigQuery

What differentiates Google BigQuery from other similar products?

BigQuery makes it easy to import data from various sources into a pre-defined schema and table. Rapid data access is one of the many strengths of this excellent data warehouse technology. Using a standard web browser, users can view and verify large amounts of data. The underlying engine always strives to improve query performance and grow as needed to achieve service-level agreements.

What is your favorite aspect of this product?

The data warehousing and real-time analytics functions are my favorites. I can export the ability to store massive amounts of information to spreadsheet programs like Google Sheets. My Google Data Studio reports required a data warehouse that could process large payments of information rapidly and efficiently. Since migrating to Google Big Query, we've seen instantaneous loading times and more agility across all data sets.

What do you dislike most about this product?

The price is the one thing I don't like, although compared to other cloud providers, BigQuery is reasonable. The sandbox environment of BigQuery only allows DML SQL commands, which limits its usefulness for learning. As my query grows in size, the BigQuery console's lag becomes more annoying. BigQuery doesn't support all the major SQL languages.

What recommendations would you give to someone considering this product?

To store and generate reports from our many syndicated data sources, I have taken advantage of Google Cloud and BigQuery. Tableau and other data visualization tools are used to access the functional and reporting levels of BigQuery. It's a great buy because it's simple to implement and use and works well with other programs to help with data analysis and visualization.

What differentiates Google BigQuery from other similar products?

In all big organizations, Google BigQuery is used to assist uncover business value from very big, diverse data sets. Google BigQuery is smartly crafted to analyze data with millions of entries using a syntax similar to SQL. It makes use of the data processing equipment that is incorporated into the Google Cloud Platform to deliver extremely rapid performance.

What is your favorite aspect of this product?

Google BigQuery is an excellent and quick data warehouse system with quick data access. Our data appeared to be easily integrated into the cloud, and utilizing BigQuery with BI tools makes it simple to retrieve. It has greatly increased our analytical capacity and advanced our company. Comparatively speaking to other software packages we have used, running queries is simple and quick.

What do you dislike most about this product?

I don't have many complaints about the user side of things. The one thing we might say we don't like is the price, although BigQuery is reasonably priced compared to other cloud service providers. They share many of the same features as other cloud service providers. The costs could skyrocket if we don't correctly structure the queries.

What recommendations would you give to someone considering this product?

Google BigQuery is a powerful big data solution that is designed to assist users to comprehend and control all the different sorts of data gathered from numerous data sources in their organization. Google BigQuery also offers real-time statistics, enabling managers to decide on sales targets or customer demands based on the most recent data rather than conjecture.

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.