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Migrating from Heroku Postgres to Amazon Redshift might sound complicated, but moving data between these two systems is easier than you think. You might need to transfer data from Postgres to Redshift for all kinds of reasons. Here are two of the most common:

  • Say you have data workloads in Postgres that you want to run through a business intelligence (BI) tool so you can generate valuable analytics about those workloads. You'll need to extract data from Postgres, clean up that data, make sure it's in the correct format for analytics, and then load it to a tool that supports data warehousing like Redshift. Now you're ready to run the data through that BI tool!
  • Migrating from Postgres to Redshift could increase cost savings because the latter scales much better than Postgres and uses Amazon's powerful cloud infrastructure.

But there's a problem. Postgres and Redshift are two different beasts that process data in different ways. So moving data between these systems can be a challenge if you don't have the right tools. That's because Postgres is a database-as-a-service that uses the SQL programming language, while Redshift is a columnar database that supports data warehousing. Amazon might claim that moving data to its database is a simple task, but you could lose Postgres data if you don't know what you're doing. Redshift might also reject older Postgres data if it's in an outdated format. In this guide, learn about migrating from Postgres to Amazon Redshift, and how Integrate.io can streamline the entire process.

Related reading: What Must I Know Before Using Heroku ETL?

Integrate.io is the ETL solution that lets you securely integrate Postgres data with Amazon Redshift. No code. No complicated data pipelines. Just fast data migrations that power your data-driven goals. Schedule a demo to learn more. 

What Is Postgres?

Heroku Postgres is a database-as-a-service that uses the SQL language to store all kinds of data workloads. It helps businesses manage data, protect data integrity and build data environments. The database runs on all major operating systems and comes with various add-ons. Postgres is a valuable tool for storing data workloads. However, data-driven businesses might want to invest in a data warehouse to run data sets through BI tools and generate valuable insights. That's where Amazon Redshift comes in.

What Is Amazon Redshift?

Amazon Redshift also uses the SQL language to facilitate data management. It's not open-source, which means you pay to use it. However, this columnar database has multi-node processing and supports scalable architecture, so it could be worth the investment for data-driven organizations. The biggest difference between Postgres and Redshift is that the latter supports data warehousing, allowing users to run data through BI tools and generate analytics about that data. Businesses require metrics to solve problems and make smarter decisions.

Migrating From Postgres to Amazon Redshift Tips

There are a couple of ways to migrate data from Postgres to Redshift.

  • Manually move data from Postgres to Redshift using code. You will need to create pipelines that extract data from its source (Postgres), transform the data into the correct format, and load it to the final destination (Redshift) via a process called extract, transform and load (ETL). This method requires a lot of coding knowledge, which your team might not have. It can also take weeks or even months to create the data pipelines that facilitate ETL.
  • Use an ETL solution like Integrate.io. Integrate.io does all the hard work for you when migrating from Postgres to Redshift. This powerful ETL platform comes with a native Postgres-to-Redshift connector that automates migration. It extracts data from Postgres, transforms it into the right format, and then loads it to Redshift so that data is ready for analytics. Simple! There's no code required, and you can build a data pipeline between these two systems with little programming knowledge.

How Integrate.io Can Help

Integrate.io is the no-code ETL solution for migrating from Postgres to Redshift. The platform automates data transfers, so you don't need to build data pipelines manually. Here are some benefits of using Integrate.io for Postgres/Redshift data transfers:

  • Excellent customer service
  • Powerful REST API
  • A simple pricing model that charges for the number of connectors you use and not the volume of data you consume.
  • 100+ native connectors that connect CRMs, ERPs, databases, data warehouses, data lakes, and more. See a list of all Integrate.io integrations.

You can also use Integrate.io's Salesforce-to-Heroku-Postgres native connector to move Salesforce data to Postgres and then to Redshift. This way, you can run Salesforce data through BI tools for deep insights into your business. Integrate.io's native connector is perfect for migrating from Postgres to Redshift. There's no code required, and you can complete data transformations in mere minutes. Schedule a demo to learn more.