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Enterprise Layer Intelligence
Categories/Data Platform & Integration/GRAX
GRAX

GRAX

Founded 2018

Back up, archive, and replicate enterprise SaaS data into your own cloud environment

Pricing model

Demo

You can use GRAX to capture, protect, and manage the full historical record of your enterprise SaaS applications like Salesforce. It stores your records directly in your own AWS, Azure, or GCP storage rather than locking data into a third-party system. You can schedule automatic backups, recover overwritten data with point-in-time restores, and archive old records to reduce primary database storage fees. It also replicates historical data into data warehouses like Snowflake, Databricks, and BigQuery for business analytics and machine learning model training.

What GRAX does

Set automated backup schedules for standard and custom CRM objectsPerform point-in-time rollbacks on modified recordsArchive historical records to cloud storage based on custom retention policiesQuery archived data using SQL tools like Athena or BigQueryBack up system metadata to protect org configurationsConnect cloud data lakes directly to SaaS application historyStores all backup and archive data in your own AWS, Azure, or GCP cloud accountContinuous capture of every record modification without relying on daily snapshot schedulesPoint-in-time data restoration to reverse complex overwrites or accidental record mergesZero-copy data replication directly to Snowflake, Databricks, and BigQueryAutomated data archiving to clean up CRM objects and stay within storage limitsFull metadata and relationship preservation across complex enterprise data schemasDirect SQL query capabilities against archived records in open data lake formats

Pricing breakdown

Pricing model: Book a demo

Frequently asked

SalesforceSalesforceServiceNowServiceNowSnowflakeSnowflakeDatabricksDatabricksMicrosoft AzureMicrosoft AzureHerokuHeroku

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GRAX, Salesforce backup, SaaS data protection, cloud archiving, data replication, point-in-time restore, disaster recovery, Snowflake integration, Databricks, BigQuery, BYOC data ownership, SaaS history capture, metadata backup, data retention