---
schema_version: "1"
id: a6054bccd7bbd07763397b14966df68ec62c61961285628ea20495477043c250
title: Summary
collection: developer
version: current
locale: en-us
portal_url: https://docs.salesforce.com/developer/current/en-us/platform/salesforce-large-data-volumes-bp/guides/cce/ldv-deployments/ldv-deployments-summary.md
canonical_url: https://developer.salesforce.com/docs/platform/salesforce-large-data-volumes-bp/guide/ldv-deployments-summary.html
source_site: developer.salesforce.com
content_type: documentation
content_hash: c0e84738d9dca2e3c6e3158d8ffd25a308656a9211916532ad70258b7bb3eec7
products:
  - Best Practices for Deployments with Large Data Volumes
  - Platform Developer Content
---

# Summary

The Salesforce platform is a robust environment in which native and custom applications can scale to large volumes of data very quickly while continuing to perform well.

You can maximize the benefits of these capabilities by:

-   Making queries selective—ensure that reports, list views, and SOQL are using appropriate filters.
-   Reducing the amount of active data—use archiving, mashups, and other techniques to reduce the amount of data stored in Salesforce.

Following these two broad principles and the best practices that support them can reduce the impact of large data volumes on Salesforce application performance.