Integrate Google BigQuery to Amazon RDS

Querying massive datasets can be time consuming and expensive without the right hardware and infrastructure. Google BigQuery solves this problem by enabling super-fast, SQL-like queries against append-only tables, using the processing power of Google's infrastructure. Simply move your data into BigQuery and let us handle the hard work.

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See Why It's Awesome to Use Xplenty with Google BigQuery

Transforming data from Google BigQuery can be a daunting task. Xplenty makes it super easy to use and understand - see how.

Eli Baskin
VP Data and Analytics, Panda Pepper

We are using Xplenty to move data from BigQuery, Firebase and Appsflyer to our SQL Server data warehouse, to allow our customers make knowledgeable decision regarding their mobile product. By working with Xplenty, we don't need to worry about the integrations - we merely build the ETL packages, and their are doing all the heavy lifting. Xplenty have a 24/7 support, and we are very satisfied with their product and support.

Xplenty and Google BigQuery

Google BigQuery enables fast, SQL-like queries against petabytes of data, utilizing Google's infrastructure. It's a scalable, no-setup service that gives you real time business insights about your data. Xplenty is an ETL tool that integrates with BigQuery allowing users to transform and load data directly from any data store into BigQuery.

Why Our Customers Choose Xplenty

Ease of Use

You don’t need to a be a developer in order to use Xplenty - the only skill set you need is to understand your data. That said, if you want to, you can write custom code, functions or interact with our extensive API.

Ownership

We take ownership of your data pipelines. That means that our platform will ensure that your data continues to flow and that your pipelines won’t break - and, if they do break, it’s our problem, not yours. So rest easy knowing that Xplenty has got you covered.

Control

Xplenty offers you full flexibility when it comes to how much control you can have over the process of data integration. That means that you choose exactly what data will be delivered, how it’s going to be delivered, and when - no restrictions and no confusing schedules.