Archiving

Can we use multiple filter criteria to archive data?

Yes, multiple filter criteria can be set to archive data using an archive API.

What if new fields are added (or deleted) within a Salesforce Object. Does this get reflected in the Relational Database automatically?

Yes, before archiving the records the archiving engine checks for the metadata changes and if found then syncs them in Relational Database automatically.

Do you use Batch Apex to move the archived records? What about governor limits? What is the recommended time to schedule the archiving job (business hours or out of business hours)?

Yes, to move archived records DataArchiva makes use of ‘batch apex’. The archive engine very well honors Salesforce platform governor limits. The archive can be scheduled during business hours as well. But, it is recommended to schedule out of business hours.

Does the location of the archived records impact the features and capabilities you offer?

Almost None (most of the major functionalities are same irrespective of the storage, but there would be minor change while setting of the app for the first time)

Can I archive a large volume of data at once?

Yes. Large data can be archived using migration utility which is a onetime activity done initially. Our support team can help you with this.

How can we use the archived data?

Archived data can be used for analytics. You can apply Einstein Analytics on the archived data and get useful business insights. Archiving the data using DataArchiva also ensures 100% legacy data accessibility which can be used for compliance demands.

Can we modify the archived data?

No. Big Objects doesn’t offer data re-write.

Once we archive the data, will it still remain in the primary data storage?

DataArchiva is an archiving solution, not a backup solution. So, the data will be archived and stored in Big Objects. This means your data will not be in your primary storage.

Can we archive tasks from our Org & still have them available at a record level?

Yes. You can archive the tasks from your Salesforce Org & still have them available at a record level.

Can we archive a single record manually?

Yes, a single record can be archived manually.

Where to look for errors if the archive job failed?

If anything fails, you will get an email notification from the application. However, you can always go and check the audit log section in DataArchiva.

How will the business work when data is archived and not exist in Salesforce live objects?

As DataArchiva is a native solution, your archived data will remain in the Salesforce ecosystem. This won’t impact any of the ongoing business operations.

How to figure out which objects to archive?

Using DataArchiva Usage Analyzer feature you can figure out which objects are consuming more data storage space and you can select them to archive.

How to view the archived data?

We have built DataArchiva with a Visualforce page, which will help you view the archived data.

How to see how much data we have archived?

You can see your archived data detailed in the DataArchiva Dashboard.

If we uninstall DataArchiva, what will happen to our already archived data?

We don’t want you to go, but if you uninstall DataArchiva, we will ensure our technical team help you out in getting back your already archived data.

Do we need to procure any additional software or hardware to use DataArchiva?

No additional software or hardware are required for DataArchiva.

Where does the data gets archived?

DataArchiva archives data into Salesforce’s big data storage called Big Objects. DataArchiva has a layer on top of Big Objects that takes care of handling object relationship, data types, indexes, etc under the hood.

How different is DataArchiva from other existing On-premise or Cloud solutions?

DataArchiva is the ONLY Native archiving solution available in the AppExchange. This means the archived data won’t go out of the Salesforce ecosystem. Being native to Salesforce there are many advantages w.r.t data security, throughput, platform scalability, hardware etc.

Can we edit/change the index field?

No, adding or modifying indexes on existing Big Objects is not supported.