Copy (ELT) Airtable data to Snowflake in a few clicks and keep it up to date automatically.
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If needed, configure replication settings — exclude certain fields, change table naming, apply data hashing, add filters for data.
Configure scheduling and run replication every month, week or day, at specific time or recurrently at any interval, up to once per minute.
View all the integration runs for any period, get email notifications and detailed per-record error logs in case of errors to help you be aware of the situation.
Many businesses want to benefit from the Snowflake ability to quickly perform complex analytical queries over petabytes of data, and need to load their data from Airtable and other applications to the Snowflake service for centralized storing and data analysis. Skyvia's Replication is the perfect tool for secure replication to a data warehouse, as it loads data much faster than standard ETL tools and allows you to copy Airtable objects (including data) to Snowflake in just a few clicks and keep this copy up to date.
You don’t need to prepare the Snowflake database — Skyvia creates the tables, corresponding to the Airtable objects, in the data warehouse automatically. Besides, it can automatically modify target Snowflake tables according to new fields added in Airtable.
With Skyvia you can extract and load all the data from a Airtable object or disable loading for some Airtable object fields. You can also configure filters for data to replicate.
Skyvia allows you to hash sensitive data, like names and emails. You can conceal personally identifiable information for better compliance and preserve analytical value of replicated data at the same time.
Skyvia not just copies Airtable data to Snowflake once, it can keep your Snowflake database up-to-date with Airtable automatically, ensuring you always have fresh data for data analysis without any user intervention.
History mode allows you to store all versions of Airtable records in your Snowflake database instead of keeping only the current versions. You can select the mode for each object separately.
By default, target tables are named in the same way as source objects. Skyvia offers settings that allow you to change target table names — for all Airtable objects in the integration or for each one separately. This is especially useful if you load several Airtable instances into the same Snowflake database, and want to use separate tables for them.
Skyvia combines a high-performance optimized batch data loading into Snowflake with a granular, per-record data insertion and error logging in case of any errors.
If you need more than just to copy data from Airtable to Snowflake, you may use Skyvia's powerful ETL functionality for Airtable and Snowflake integration. Skyvia's Import tool will correctly extract Airtable data, transform it, and load to Snowflake when Snowflake tables have different structure than Airtable objects. Besides, if you ever need to load data back from Snowflake to Airtable, Skyvia Import allows loading data in any direction, supporting Reverse ETL scenario.
For more complex cases, you can use Data Flow and Control Flow tools. They are designer-based solutions for creating complex data pipelines, involving not only Airtable and Snowflake connectors, but any number of connectors in one integration. With these tools you can automate data workflows, involving custom logic, complex multistage transformations, combine data from different sources, load them into multiple destinations at once and many more.
Use flexible scheduling settings to automate replication
You can find detailed logs for each execution in the package Run History.
Enable email notifications and always know if anything goes wrong.
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Skyvia pricing depends on the features you need and data volumes you load. Companies of any size can find a suitable plan.
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Integrate Airtable and Snowflake data with minimal effort with Skyvia.
