Airtable and Elasticsearch Integration

Skyvia offers you a convenient and easy way to connect Airtable and Elasticsearch with no coding.

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Popular Airtable Elasticsearch Integration Scenarios

Free plan with 10 000 loaded records per month is available

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Copy Airtable to Elasticsearch

If you need to simply export Airtable data to Elasticsearch and create an exact data copy without mapping configuration, you can use Skyvia replication. It is an easy-to-use ELT tool that allows you to export data from Airtable to Elasticsearch and keep it up-to-date with little to no configuration efforts. Skyvia can automatically create indexes for your cloud data. All you need is to specify the connections to Airtable and Elasticsearch and select data to replicate, and Skyvia does the rest.

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Load data in any direction

Skyvia offers a number of benefits for import Airtable data to Elasticsearch or vice versa. With Skyvia import you can use data filtering, perform data transformations, and many more. These features are available for both directions. Besides, Skyvia supports the UPSERT operation — inserting new records and updating records already existing in the target. This allows importing data without creating duplicates for existing target records.

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Mass Data Updates and Deletes

Skyvia’s import supports all DML operations, including UPDATE and DELETE. This allows using import to perform mass update operations or mass deleting data, matching some condition.

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How to integrate Airtable and Elasticsearch

Integration of Airtable and Elasticsearch with Skyvia is as easy as 1-2-3

Step 1

You configure your data integration operation in convenient GUI wizards and editors.

Step 2

Operation is executed in a cloud automatically on schedule or manually at any time.

Step 3

You can view the integration operation results for each execution in the Run History.

Integrating Data of Different Structure

Skyvia offers powerful visual editors which allow precise mapping configuration to quickly configure your data migration or synchronization between Airtable and Elasticsearch.

One-to-many or Many-to-one

One-to-many or Many-to-one

Skyvia allows you to map one Airtable table to several related Elasticsearch tables.

Preserving Relations

Preserving Relations

When integrating data with different structure Skyvia is able to preserve source data relations in target.

Expressions

Expressions

Skyvia allows using complex mathematical and string operations and conditions for mapping data.

Lookup

Lookup

You can use lookup mapping to map target columns to values, gotten from other target objects depending on source data.

Constant

Constant

When integrating data, you can fill some Airtable fields that don't have corresponding Elasticsearch fields (or vice versa) with constant values.

Integrate Airtable and Elasticsearch with minimal effort and in only a few clicks!

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