If you need to simply copy Streak data to Databricks without mapping configuration, you can use Skyvia replication. It allows you to create a copy of Streak data
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Streak replication to Databricks can be configured in under two minutes
Learn more about ReplicationIf you need to simply copy Streak data to Databricks without mapping configuration, you can use Skyvia replication. It allows you to create a copy of Streak data
All you need is to specify the connections to Streak and Databricks and select data to replicate, and Skyvia does the rest. It will copy the specified Streak data to Databricks and maintain this copy up-to-date automatically with incremental updates.
Skyvia offers a number of benefits for import Streak data to Databricks or vice versa. With Skyvia import you can perform any DML operations for imported Databricks data in Streak, import data from several Streak objects at once, etc. These features are available for both directions.
Import data without writing a line of code!
Data import is simple for any direction!
Integration of Streak and Databricks with Skyvia is as easy as 1-2-3
You configure your data integration operation in convenient GUI wizards and editors.
Operation is executed in a cloud automatically on schedule or manually at any time.
You can view the integration operation results for each execution in the Run History.
Skyvia offers powerful visual editors which allow precise mapping configuration. It allows integrating data having different structure and offers the following mapping features.
Skyvia allows using complex mathematical and string operations and conditions for mapping data.
You can use lookup mapping to map target columns to values, gotten from other target objects depending on source data.
Skyvia allows you to map one Databricks table to several Streak ones.
When integrating data, you can fill some Streak fields that don't have corresponding Databricks fields (or vice versa) with constant values.
Integrate Streak and Databricks with minimal effort and in only a few clicks!