As Salesforce data volumes continue to grow, simply implementing Big Objects isn’t enough. Without the right strategy, organizations can run into reporting limitations, retrieval challenges, and unnecessary complexity.
Following established Salesforce Big Objects best practices helps businesses maximize scalability, improve performance, and maintain compliance while managing billions of records.
In this guide, we’ll cover the most important Salesforce Big Objects best practices, common mistakes to avoid, and how solutions like DataArchiva help organizations build a smarter data lifecycle strategy.
Quick Answer: What Are Salesforce Big Objects' Best Practices?
The most important Salesforce Big Objects best practices include:
- Archive only historical data.
- Define indexes carefully.
- Create a data retention strategy.
- Automate archiving processes.
- Keep active and historical data separate.
- Plan retrieval requirements early.
- Monitor data growth continuously.
- Prioritize compliance and governance.
- Use a complete archiving solution.
These practices help organizations improve scalability while avoiding performance and maintenance challenges.
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Why Salesforce Big Objects Best Practices Matter
According to industry estimates, enterprise CRM data grows by 30% to 50% annually.
Without a clear strategy, organizations often experience:
- Storage challenges.
- Slower reporting.
- Complex retrieval processes.
- Compliance risks.
- Increased operational overhead.
Following Salesforce Big Objects best practices helps organizations maintain performance and long-term scalability.
Read the detailed Salesforce Big Objects Guide here.
Archive Historical Data Only
One of the most important Salesforce Big Objects best practices is avoiding the storage of frequently accessed records.
Big Objects work best for:
- Closed cases.
- Historical opportunities.
- Completed orders.
- Legacy records.
- Audit history.
Active records should remain in standard Salesforce objects for faster access.
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How DataArchiva Helps
DataArchiva identifies aging records automatically and moves them based on predefined archiving policies, reducing manual effort.
Build a Data Retention Strategy
A successful Big Object implementation starts with clear retention policies.
Questions to answer include:
| Question | Example |
|---|---|
| What data should be archived? | Closed opportunities |
| When should archiving occur? | After 3 years |
| How long should records be retained? | 7 years |
| Who needs access? | Compliance teams |
Without retention policies, data growth becomes difficult to manage.
How DataArchiva Helps
DataArchiva enables policy-driven archiving and automated retention management, helping organizations meet regulatory requirements.
Automate Archiving Processes
Manual archiving creates risks and inconsistencies.
Among all Salesforce Big Objects best practices, automation provides the greatest long-term value.
Automation helps:
- Reduce administrative effort.
- Eliminate human errors.
- Maintain consistency.
- Support compliance.
How DataArchiva Helps
DataArchiva automates archiving schedules and data lifecycle management, ensuring records are retained according to business policies.
Separate Active and Historical Data
Mixing frequently used records with historical records can impact usability.
A better approach is:
| Data Type | Recommended Storage |
|---|---|
| Active records | Standard Objects |
| Historical records | Big Objects |
| Long-term retention | Archiving platform |
This separation improves performance and simplifies administration.
Plan Data Retrieval Early
Many organizations focus on storage but forget about retrieval.
One of the smartest Salesforce Big Objects best practices is planning how users will access archived information before implementation begins.
Consider:
- Reporting requirements.
- Search needs.
- Audit requests.
- User access levels.
Common Mistake
Archiving data first and figuring out retrieval later.
Monitor Salesforce Data Growth
Organizations should regularly monitor:
- Record counts.
- Storage consumption.
- Archiving trends.
- Compliance requirements.
Continuous monitoring keeps Big Object implementations efficient over time.
How DataArchiva Helps
DataArchiva provides visibility into archived data and supports ongoing data lifecycle management strategies.
Monitor Salesforce Data Growth
Compliance requirements continue to evolve in 2026.
Organizations should ensure:
- Data retention policies are documented.
- Archived records remain accessible.
- Audit history is preserved.
- Governance standards are enforced.
Following governance policies is one of the most critical Salesforce Big Objects best practices for regulated industries.
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Avoid Using Big Objects Alone
Big Objects provide scalability, but they are not a complete data management solution.
Limitations include:
- Query restrictions.
- Limited reporting capabilities.
- Complex retrieval.
- Additional development requirements.
Because of these challenges, many enterprises combine Salesforce Big Objects with dedicated archiving platforms.
How DataArchiva Helps
DataArchiva complements Big Objects by providing intelligent archiving, automated policies, easier retrieval, and comprehensive lifecycle management capabilities.
Final Thoughts
Implementing Big Objects is only part of the equation.
Following proven Salesforce Big Objects best practices helps organizations create scalable, compliant, and future-ready Salesforce environments.
DataArchiva ensures you can efficiently manage, store, and report on your Salesforce data without limitations.
