RDS PostgreSQL to Google Bigquery – Made Easy

Posted By: administrator
Posted On: 20 Sep, 2021

Replicate RDS PostgreSQL to Google BigQuery in minutes 

Do you want a quick and simple way to transfer data from RDS PostgreSQL to Google BigQuery? If yes, then you can migrate your data with an efficient ETL tool: Daton.  

In this competitive landscape, businesses need to utilize their data to make informed decisions. The data from different tools require fast and secured storage. But the cost to set up and maintain a scalable and secure physical storage solution is quite high. So, now the companies are using cloud databases like PostgreSQL. Although, extracting, replicating and managing data from these databases is complex. Hence cloud servers like Amazon RDS have made a solution to manage PostgreSQL databases. RDS PostgreSQL provides easy access and control on your PostgreSQL database.    

Nowadays, companies are reducing the time & effort of reporting and analyzing their business data from several databases and cloud storage. They use ETL tools like Daton to replicate data from these Cloud servers to data warehouses like Google BigQuery, where analysts get a consolidated view for faster and accurate reporting. 

Why integrate RDS PostgreSQL to Google BigQuery? 

Businesses nowadays use cloud servers like Amazon RDS cloud server to operate their cloud warehouses. These servers help to manage administrative tasks in cloud databases like PostgreSQL. You will get automatic database replication, backing by secure servers and reduced data loss and theft. Tally data from RDS PostgreSQL with other databases like COGS, Amazon Aurora, sales sheets to analyse data and simplify reporting. However, manual data consolidation is time-consuming and complex, often creating inaccurate reports. Thus, companies use ETL tools like Daton to transfer data from RDS PostgreSQL to Google BigQuery. It is a highly automated ETL Tool that easily loads data from several data sources to cloud data warehouses without coding. 

RDS PostgreSQL Overview 

Amazon Relational Database Service (Amazon RDS) is a web service that enables users to manage a relational database for MySQL, Oracle, Microsoft SQL Server and PostgreSQL in the AWS Cloud. AWS manages the underlying infrastructure like operating system, network, hardware, firewalls, security and regular patches. It is optimized for I/O-intensive, transactional (OLTP) database workloads. The cost-efficient server with resizable capacity is also used for common database administration tasks. Amazon RDS PostgreSQL supports DB instances running several versions and editions of PostgreSQL Server. 

Google Bigquery Overview  

Google BigQuery is the first serverless data warehouse service that was available in the market. A database administrator architects the schema and optimize the partitions for performance and cost in a Google BigQuery environment. This cloud service automatically scales to fulfil any demands of a query. Google BigQuery service offers an excellent pricing model based on the amount of data processed by incoming queries, not on the storage or the compute capacity for processing queries. The best part about using Google BigQuery is that you can instantly load data to the service as soon as you start using it. The primary requirements are a mechanism to load data into the data warehouse and the ability to write SQL queries. 

How to replicate RDS PostgreSQL to Google BigQuery? 

There are two ways in which you can replicate RDS PostgreSQL to  Google BigQuery.   

Build Your data pipeline – Building an in-house data pipeline needs a lot of experience, time and manpower with higher chances of errors. You need to extract data using RDS PostgreSQL APIs & then connect it properly with the Google BigQuery data warehouse. 

Use Daton to integrate RDS PostgreSQL & Google BigQuery – Using Daton to integrate RDS PostgreSQL & Google BigQuery is the fastest & easiest way to save your time and efforts. Leveraging a cloud data pipeline like Daton simplifies and accelerates the time to build automated reporting to a great extent. 

Configuring data replication on Daton only takes a few minutes and a few clicks. Analysts do not have to write any code or manage any infrastructure, yet they can get access to their Amazon ads data in a few hours. Daton’s simple and easy to use interface allows analysts and developers to use UI elements to configure data replication from RDS PostgreSQL data into Google BigQuery. 

Daton takes care of: 

  • Authentication 
  • Rate limits, 
  • Table creation, deletion & reloads 
  • Refreshing access tokens, 
  • Sampling, 
  • Historical data load, 
  • Incremental data load, 
  • Notifications 

and many more important functions for data analysts to focus on analysis rather than worry about the data replication process. 

Steps to Integrate RDS PostgreSQL with Daton 

  • Sign in to Daton  
  • Provide Integration Name, Replication Frequency, and History. Integration name would be used in creating tables for the integration and cannot be changed later  
  • You will be redirected to RDS PostgreSQL login for authorizing Daton to extract data periodically 
  • Post successful authentication, you will be prompted to choose from the list of available RDS PostgreSQL Ad accounts 
  • Select required tables from the available list of tables 
  • Then select all required fields for each table 
  • Submit the integration 

Sign up for a trial of Daton Today! 

Here are more reasons to explore Daton for RDS PostgreSQL to Google BigQuery Integration 

  • Faster Integration of RDS PostgreSQL to Google BigQuery– RDS PostgreSQL to Google BigQuery is one of the integrations Daton can handle very fast and seamlessly. By following few steps, you can easily connect RDS PostgreSQL to Google BigQuery.  
  • Robust Scheduling Options: allows you to schedule jobs based on their requirements using a simple configuration step. 
  • Low Effort & Zero Maintenance – Daton automatically takes care of all the data replication processes and infrastructure once you sign up for a Daton account and configure the data sources. There is no infrastructure to manage or no code to write.  
  • Data consistency guarantee and an incredibly friendly customer support team ensure you can leave the data engineering to Daton and focus instead of analysis and insights! 
  • Enterprise grade data pipeline at an unbeatable price to help every business become data driven. Get started with a single integration today for just $10 and scale up as your demands increase. 
  • Support for all major cloud data warehouses including Google BigQuery, Google BigQuery, Amazon Redshift, Oracle Autonomous Data Warehouse, PostgreSQL and more. 
  • Flexible loading options allows to you optimize data loading behavior to maximize storage utilization and easy of querying. 
  • Enterprise grade encryption gives your peace of mind 
  • Support for 100+ data sources – In addition to RDS PostgreSQL, Daton can extract data from a varied range of sources such as Sales and Marketing applications, Databases, Analytics platforms, Payment platforms and much more. Daton will ensure that you have a way to bring any data to Google BigQuery and generate relevant insights. 

Sign up for a trial of Daton Today! 

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