DataArchiva for Data Archive, Storage Cost Reduction & Compliance
Major retail and lifestyle brands and service providers deal with massive volumes of consumer information and buying-selling patterns and use the Salesforce application to take care of all such data. Due to this, they are met with several challenges related to massive data growth, storage management, cost reduction, long-term data retention, and meeting stringent compliance and audit demands.
DataArchiva helps the retail and lifestyle brands archive their Salesforce data at a native level in Big Data-based Big Objects while maintaining 100% data accessibility and keeping the data integrity intact. This Salesforce-aligned solution can potentially save nearly 85% data storage costs with 2X improved CRM application performance and 5X times faster deployment. Using DataArchiva, retail & lifestyle companies can implement a long-term data management strategy for their Salesforce with unlimited storage and long-term data retention.
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Why DataArchiva?
Native Archive
85%+ Storage Cost Saving
2x Improved Application Performance
Data Retention for Compliance
100% Data Accessibility
Archive your Healthcare Data in Salesforce using DataArchiva
Auto Scheduler
Schedule your data archiving job hourly, weekly, monthly, or quarterly
Archiving Policy
Set your custom archiving policy depending on your data & business requirements
Data Integrity
View your archived data right from your Salesforce system
Complex Object Relationships
Takes care of your complex object relationships of any level
Restore
Restore all your archived records with one click
Encryption-at-Rest
Supports encryption & data will be encrypted in Big Objects
Great App to Save on Data Storage Costs + Great Teamwork!
”DataArchiva with its handful of innovative features added value to our business. The team behind DataArchiva is resourceful & skilled. Their rate of response is fantastic. They adhered to the plan and ensured quality and support….We highly recommend DataArchiva for any industry in which data a large amount of data must be retained.“
Amer Hyat Khan
