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Fivetran
An ELT tool to extract (E) data from databases as well as third-party apps and load (L) the data into a cloud data warehouse.
Teams
Fivetran
caters to:
Data
Operations
Growth
What need does
Fivetran
fulfill?
Fivetran caters to the ELT needs of modern data teams.
Fivetran offers source connectors with all major databases and over a hundred cloud apps, enabling data teams to extract data and load it into a cloud data warehouse like Snowflake, BigQuery, or Redshift.
Additionally, one can set up automated syncs to ensure that data is always up-to-date in the data warehouse. While Fivetran offers SQL-based transformation capabilities, it integrates well with dbt, offering readymade dbt packages as well as the ability to turn one’s models into packages.
What are the core features of
Fivetran
?
- Automated connectors for cloud apps and databases
- Destination support for all major cloud data warehouses
- SQL-based transformations and dbt integration
What are the benefits of using
Fivetran
?
- Makes data from third-party tools available in the data warehouse to power analytics and activation
- Allows teams to move fast without worrying about writing and maintaining code for custom pipelines
- Replicates data accurately from databases into the warehouse and via incremental updates, ensures that only new or changed data is synced
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Fivetran
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