Data warehousing is crucial and imperative for every enterprise out there! If you wish to leverage crucial data sets collected from various sources, creating a high-performance warehouse will be important. While breezing through the options available in the market, you might come across several options including cloud data warehousing services, Query optimizer, data compression applications.

BigQuery emerges as petabyte-scale, fully managed, and affordable data warehouse tool that ensures successful data storage, if you wish to gain access to it, make sure you rely on REST-oriented API. Before delving deep into its performance and the alternatives to BigQuery, let’s take a look at its benefits and features.

What is BigQuery famous for?

If we take a look at the performance of Google BigQuery, here are some of the highlights we come across. Real-time queries, effective analysis, 100% optimization, and data management are some of the benefits you get. Here’s a detailed report :

  • Optimizing data performance: Google BigQuery stores data sets and data chunks effectively. It can help business owners manage large data repositories thus performing successful integrations.
  • Data management: Managing huge data chunks is an integral part of data warehousing. BigQuery makes that happen seamlessly.
  • Managing query speed: There might be numerous queries from multiple data sources. BigQuery can integrate and collate all of them into the cloud infrastructure.
  • Access control: Grant access to critical data sets, restrict usage and ensure successful access control. BigQuery can make all that happen in a streamlined manner.

Choosing the alternatives

It’s quite clear that what present-day organizations need and expect from a data warehousing application. Depending on those factors and the vision of creating a serverless future, you can opt for the following applications.

Amazon Redshift :

Amazon Redshift is a powerful, dynamic, and innovative data warehouse that ensures successful warehousing optimization, data compression, and high-query performance.

Snowflake :

If you are using Athena AWS, Snowflake will emerge as the perfect partner. It’s highly flexible and seamlessly integrates with AWS. Those leveraging AWS for their enterprises can make the most of this application. That’s not all; the application is easy-to-use and not at all complicated.

AWS Athena :

One of the most popular, reliable, and widely-used querying services, AWS Athena finds application in numerous enterprises. You can leverage Amazon S3 and analyze crucial data sets with the help of SQL. You don’t incur huge costs, as you only pay for queries run by you. the application takes you towards a serverless future where operations are flexible, streamlined, and seamless.

Hadoop clusters :

If you are working in a distributed and integrated computing environment, you will surely need an application that can ensure successful data analysis. Hadoop Clusters will make that happen and let you analyze and store crucial data sets. Executing Queries using Hadoop Clusters is quite easy and simple.

SlicingDice :

Think innovation coupled with effective data storage and successful analytics! What you get is SlicingDice, a high-performance, powerful, and dynamic data warehousing tool.

Final thoughts

When it comes to executing queries and running crucial operations, these alternatives to BigQuery will help you to a great extent. Embrace them and integrate the technologies into existing business architecture!