Sage 300 CRE users have been relying solely on on-premises servers to manage their data for many years. But now, since cloud technology has become the standard for business operations, many companies are exploring how to actually move their Sage data into modern cloud environments.

Some users also want to move to the cloud because Sage’s own reporting is slow, especially now when the speed of processing has multiplied. When you need to run a detailed job cost report or fetch data across multiple projects, the system might come to a halt.

But the challenge is that information about this specific migration process is surprisingly scarce or spread out in fragments. Many IT teams and business owners are unsure of how to make this migration.

When they Google “how to migrate Sage 300 CRE data to the cloud”, they get results for moving Sage 300 CRE from one on-premise server to another.
This won’t be the issue anymore because this guide answers how to migrate your Sage 300 CRE data to a cloud warehouse. We’ll introduce you to a step-by-step migration process.  

Before we start with the method, there’s something important you should know. 
The phrase “moving Sage 300 CRE to the cloud” can mean two different things. And it’s common for people to confuse them with one another. So let’s first make it clear what those two things are and which one is our main focus. 


The Two Types of Sage 300 CRE Migrations

Migrating Sage 300 CRE can imply operational cloud migration, where you move your entire Sage application to run on cloud infrastructure. Your ERP still works exactly as before, but instead of running on a server in your office, it runs on a virtual machine in Microsoft Azure, AWS, GCP, or another cloud platform.

The second implication is data warehouse migration. Here, you extract only your Sage data and push it into a cloud data warehouse like BigQuery or Azure Synapse for reporting and business intelligence (BI) purposes. This type of migration is usually done for better performance. The new high-performance cloud warehouse makes a copy of your Sage data and generates reports from it quicker than your on-premises Sage setup.

Our primary focus is on this second approach, as is clear from the title of the article as well. Though we’ll also briefly explain the other method, the full Sage migration.


How to Migrate Your Sage 300 CRE Data to a Cloud Warehouse

To migrate Sage 300 CRE data into a cloud warehouse, you typically use ETL connectors. ETL stands for Extract, Transform, and Load. 

Here’s how ETL connectors replicate your Sage 300 CRE data to cloud warehouses:
First, they extract the data from Sage 300 CRE via APIs, drivers, or direct connectors.
Then the data is transformed and loaded into a cloud warehouse (e.g., Snowflake, Databricks, Azure Synapse).
Lastly, they enable analytics/BI on top of that warehouse.

Many third party tools exist that offer ETL connectors for Sage 300 CRE.

For example, Anterra Technology offers Anterra Data Center (ADC), which can pipeline Sage 300 data continuously into a Microsoft SQL Server database that runs parallel to Sage’s existing Pervasive database.

Here’s more about how you can implement ADC to migrate your Sage 300 CRE data.


Extracting Sage 300 CRE Data with Anterra Data Center

As you read, ADC continuously replicates your Sage data into a Microsoft SQL Server database that runs parallel to your existing Pervasive database. 

This replication happens in real time. The Microsoft SQL Server will always have the most recent data without requiring manual exports or scheduled batch processes.

In addition, your reports will also load faster because SQL Server is purpose-built for handling queries quickly. Sage’s own Pervasive database is slow because it prioritizes transactional integrity over performance. Anterra’s ADC simply replaces this Pervasive database. 

So, when someone needs to run a report, they query the SQL Server version of your data, not the Pervasive database.

Your Sage 300 CRE system keeps operating exactly as it always has, with the only change being a high-performance reporting engine working alongside it.

Now let’s introduce you to the ADC setup.