I have a doubt regarding RDBMS to neo4j migration.
i have data in rdbms and it is continous increasing and i want to shift this data into neo4j .
how i can do this type of stuff and i have millions of rows in rdbms table so what should be the major factor while migrating that would help in performance,
How best to do this depends on a lot of factors including what other systems you have in place, how much data, how frequently it gets updated, and so on.
A common approach to suggest as a starting point:
Dump your existing relational DB as CSV and then use neo4j-import or LOAD CSV to do an "initial load" that gets most of it in.
Set up change data capture (CDC) from your relational database, for example to publish all changes to Kafka, and then use the neo4j-streams plugin to subscribe to those changes going through kafka. This handles the "ongoing" part of the change.
What you end up with is a Neo4j instance that is a follow-along copy of what's happening in the RDBMS.