Amazon EventBridge

This guide walks through the steps to ingest data from Amazon EventBridge into Materialize using the Webhook source.

Before you begin

Ensure that you have:

Step 1. (Optional) Create a cluster

NOTE: If you are prototyping and already have a cluster to host your webhook source (e.g. quickstart), you can skip this step. For production scenarios, we recommend separating your workloads into multiple clusters for resource isolation.

To create a cluster in Materialize, use the CREATE CLUSTER command:

CREATE CLUSTER webhooks_cluster (SIZE = '25cc');

SET CLUSTER = webhooks_cluster;

Step 2. Create a secret

To validate requests between Amazon EventBridge and Materialize, you must create a secret:

CREATE SECRET eventbridge_webhook_secret AS '<secret_value>';

Change the <secret_value> to a unique value that only you know and store it in a secure location.

Step 3. Set up a webhook source

Using the secret from the previous step, create a webhook source in Materialize to ingest data from Amazon EventBridge. By default, the source will be created in the active cluster; to use a different cluster, use the IN CLUSTER clause.

CREATE SOURCE eventbridge_source
  -- Include all headers, but filter out the secret.
  INCLUDE HEADERS ( NOT 'x-mz-api-key' )
    WITH ( HEADERS, SECRET eventbridge_webhook_secret AS validation_secret)
    -- The constant_time_eq validation function **does not support** fully
    -- qualified secret names. We recommend always aliasing the secret name
    -- for ease of use.
    constant_time_eq(headers->'x-mz-api-key', validation_secret)

After a successful run, the command returns a NOTICE message containing the unique webhook URL that allows you to POST events to the source. Copy and store it. You will need it for the next step.

The URL will have the following format:


If you missed the notice, you can find the URLs for all webhook sources in the mz_internal.mz_webhook_sources system table.

Access and authentication

WARNING! Without a CHECK statement, all requests will be accepted. To prevent bad actors from injecting data into your source, it is strongly encouraged that you define a CHECK statement with your webhook sources.

The above webhook source uses basic authentication. This enables a simple and rudimentary way to grant authorization to your webhook source.


If your throughput exceeds the maximum request rate, we recommend batching multiple events into a single request, for example using EventBridge Pipes.

Step 4. Create an API destination in Amazon EventBridge

For guidance on creating an API destination in Amazon EventBridge to connect to Materialize, check out this guide. Use the secret created in Step 2. as the API key name for request validation.

Step 5. Validate incoming data

With the source set up in Materialize and the API destination configured in Amazon EventBridge, you can now query the incoming data:

  1. In the Materialize console, navigate to the SQL Shell.

  2. Use SQL queries to inspect and analyze the incoming data:

    SELECT * FROM eventbridge_source LIMIT 10;

Step 6. Transform incoming data

JSON parsing

Webhook data is ingested as a JSON blob. We recommend creating a parsing view on top of your webhook source that uses jsonb operators to map the individual fields to columns with the required data types.

Manually parsing JSON-formatted data in SQL can be tedious. 🫠 You can use the widget below to automatically turn a sample JSON payload into a parsing view with the individual fields mapped to columns.

Target object type

Timestamp handling

We highly recommend using the try_parse_monotonic_iso8601_timestamp function when casting from text to timestamp, which enables temporal filter pushdown.


With the vast amount of data processed and potential network issues, it’s not uncommon to receive duplicate records. You can use the DISTINCT ON clause to efficiently remove duplicates. For more details, refer to the webhook source reference documentation.

Next steps

With Materialize ingesting your Amazon EventBridge data, you can start exploring it, computing real-time results that stay up-to-date as new data arrives, and serving results efficiently. For more details, check out the Amazon EventBridge documentation and the webhook source reference documentation.

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