How To Archive Salesforce Data Using AWS Cloud

How-To-Archive-Salesforce-Data

Welcome to the first article in our series where we tech-splain how, when, and why you should use AWS Cloud to archive old Salesforce data, and how DataArchiva makes the entire process smarter, faster, and more cost-efficient.

AWS remains one of the most widely adopted cloud platforms, offering 200+ services backed by unmatched global infrastructure, security, and scalability. Whether you need unlimited processing power or enterprise-grade storage, AWS provides it at a fraction of the cost of traditional CRM storage.

If you are already using AWS but are new to Salesforce and believe AWS can finally solve your Salesforce data storage challenges, you’re absolutely right. This guide explains exactly how that works.

And if you’ve been struggling with Salesforce data storage limitations due to cost, performance issues, or compliance constraints, DataArchiva is built precisely for you.

Salesforce Technical Limitations That Make Archiving Necessary

Before we jump into “how”, it’s important to understand “why” large orgs must archive:

Slow Queries & Reports

API Performance Bottlenecks

Storage Threshold Impacts

Limited Database Throughput

Salesforce is not designed to hold tens of millions of historical records.

Expected Archiving Performance with a dedicated archiving engine like DataArchiva:

Volumee Typical Archival Timeframe
1 million records 30–60 minutes
5 million records 2–3 hours
10 million+ records 4–6 hours (depending on object size & data model)
This makes DataArchiva ideal for archiving large volumes of Salesforce data cost-efficiently using AWS.

Why You Need AWS for Salesforce Data Archiving

Salesforce is a world-class CRM, but its storage strategy is designed for active operational data — not long-term retention. As data grows over the years, storage fills up quickly, and costs begin to skyrocket.

This is where AWS-powered archiving steps in.

Before we deep dive into the process, here’s what causes the real problem.

Technical Limitations of Salesforce Storage (The Real Reason You Need Archiving)

These limitations are often not visible until your org grows — but at scale, they become hard to ignore:

Extremely Limited Storage Allocation

Large organizations cross these limits in just months.

High Cost With No Flexibility

Salesforce charges ~$125/month per additional GB of data storage.

There is:

Performance Degradation at Scale

When the database becomes heavy:

Big Objects Have Limitations

While Salesforce Big Objects offer scale, they come with:

Lack of Low-Cost, Enterprise-Grade Archiving

Salesforce simply doesn’t provide a native, cost-efficient, long-term archival solution.

Result: You need a more scalable, cheaper, and compliant destination for your inactive Salesforce records. AWS is the ideal choice.

Reduce Storage Cost by 80% and Improve Salesforce Performance in Just 7 Days

Salesforce Storage vs AWS Database Cost Breakdown

Storage Type Approx Pricing (per GB/month) Notes
Salesforce Data Storage ~$5–$10/GB Expensive, limited, impacts performance
Salesforce File Storage ~$2–$4/GB till significantly higher than cloud storage
AWS RDS (Postgres/MySQL) ~$0.10–$0.20/GB 40–80× cheaper than Salesforce
AWS S3 ~$0.023/GB Ideal for long-term retention
AWS Redshift ~$0.25–$0.40/GB Best for analytical workloads

How to Archive Salesforce Data Using AWS Cloud Using DataArchiva

Step 1: Connect Salesforce to Your AWS Cloud Using DataArchiva

To archive Salesforce data into AWS databases like RDS Postgres, MySQL, MS SQL, or Redshift, you need a secure and stable connection.

Without DataArchiva, you’d need:

With DataArchiva External Archiving:

This foundation enables seamless archival of Salesforce records to AWS RDS/Postgres with confidence.

Worried About Reaching Salesforce Data Storage Limit? Get the Datasheet to Archive Data to AWS

Step 2: Choose Your AWS Archive Destination

Best practice is to archive data into self-owned cloud repositories for full control.

DataArchiva allows archiving into:

This ensures:

DataArchiva auto-creates a schema, mapping Salesforce objects to AWS tables accurately.

Step 3: Configure Your Archival Process in DataArchiva

This is where you choose what to archive and how.

With DataArchiva, you get:

You can archive based on:

This makes archiving structured and repeatable.

Step 4: Automate Archiving with DataArchiva Scheduling

Manual archiving isn’t scalable for growing orgs.

DataArchiva allows:

This creates a hands-free Salesforce → AWS archival pipeline.

Restoring Salesforce Data from AWS Using DataArchiva

DataArchiva supports:

This ensures AWS storage remains accessible and reversible.

Why DataArchiva Is the Best Way to Archive Salesforce Data Using AWS Cloud

See Why 200+ Salesforce Customers Trust DataArchiva