Nektar’s design strikes a balance between as efficiency and accuracy. Nektar is tuned to meet the real-world latency requirements for CRM data, without being wasteful of API quotas or compute resources.

Typical end-to-end latency

This table shows the typical end-to-end latency for reading and processing new data and writing it to Salesforce.

Average Worst-case
Creating or updating contacts on Salesforce 1 hour 9 hours
Creating or updating activities with participants already on Salesforce 1 hour 9 hours
Creating activities with contacts that need to be created by Nektar 2 hours 18 hours
Creating Opportunity-Contact relations with contacts already on Salesforce 1 hour 9 hours
Creating Opportunity-Contact relations with contacts that need to be created by Nektar 2 hours 18 hours
Merging Nektar-created contacts with manually created duplicates 25 hours 33 hours

What does “end-to-end latency” mean?

Something appears to have taken longer

This could happen because:

Sources of latency

There are three main sources of latency in Nektar: