Amazon S3 to Google BigQuery Integration

Import your Amazon S3 data to Google BigQuery with Blendo

Easily connect your Amazon S3 to Google BigQuery

With the Blendo Amazon S3 to Google BigQuery integration, it is easy to export from Amazon S3 to Google BigQuery. Amazon S3 is an increasingly popular cloud object storage architecture for web infrastructure. S3 is easy to use and built to store and retrieve any amount of data from anywhere. S3 is commonly used as a company’s data lake and the data you can have in S3, vary from dumps of files to exports from other services. Exploring this data, along with data from sales or marketing, is extremely valuable to your entire Business Intelligence. Integrating Amazon S3 with Blendo gives you ready-to-use analytics data into your Google BigQuery to explore with your BI and discover more answers about the data you have in your Amazon S3 buckets.

Supercharge your Business Intelligence tool with 100% accurate and actionable data

Business Intelligence is only truly “intelligent” when your human intuition, domain knowledge, and professional experience combined with accurate, relevant and in-time data.

Import sales, marketing or support data into your data warehouse in minutes. Blendo intelligently syncs and identifies changes so you always have the most current and correct information.

Better Use of Your Time and Mind

Blendo cuts your data integration workload to zero. Connect sales, marketing and financial platforms with your Amazon Redshift data warehouse in a matter of minutes. Get all the data you need, when you need it.

Gain peace of mind with robust scalability and minimal maintenance. Your engineering resources are better utilized in understanding what your data means, not worrying about accuracy and synching.

Never wait. Begin working with your data immediately. Blendo automatically infers the data source's schema, generates the necessary Amazon Redshift tables, and updates them automatically.

Companies Worldwide Powering their Analytics Stack with Blendo

One12th Chooses Blendo for ETL Data Integration
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Amazon S3 to Google BigQuery Integration Use Cases

Once Blendo connects your Amazon S3 data to your data warehouse, here are some ways you can use it.

Query analytics-ready data from your Amazon S3.

Import your S3 data into your data warehouse. Get analytics-ready data into your data warehouse with the click of a button and without any scripting or coding.

Get the full picture of your business and customers with analytics from siloed and complex data.

Easily access data stored in your S3 object storage and blend it with tables from other databases, marketing, or sales data sources. Dig deeper into your company data and find out how leads engage with your product and build better marketing strategies.

Reduce implementation time to minutes

No need for complex ETL scripts and integrations. Pull data from your S3 buckets by integrating in minutes, control the data you want to replicate to your data warehouse in minimal implementation time.

How to get started with your Amazon S3 data integration

Getting started is easy. First, connect a Google BigQuery as a Destination. Then, add Amazon S3 as a Data Source. Blendo will import any information from your Amazon S3 and load it into your Google BigQuery. We do the heavy lifting so you can focus on building your product and amazing your customers.


Connect Google BigQuery as Destination


Connect Amazon S3 as Data Source


We will load all your Amazon S3 data to Google BigQuery

Detailed documentation

If you have any issues whatsoever with your Amazon S3 integration, Blendo is here to help! We provide detailed documentation on setting up your integration and troubleshooting.

Import even more of your data into Google BigQuery!

Check out our other Google BigQuery integrations: