Integrate the Delay API with the Data Stores API

Setup the Delay API trigger to run a workflow which integrates with the Data Stores API. Pipedream's integration platform allows you to integrate Delay and Data Stores remarkably fast. Free for developers.

Popular Delay and Data Stores Actions#

Delay Workflow with the Delay API

Delay the execution of your workflow for a specific amount of time (does not count against your compute time).

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Add or update a single record with the Data Stores API

Add or update a single record in your Pipedream Data Store.

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Add or update multiple records with the Data Stores API

Add or update multiple records to your Pipedream Data Store.

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Append to record with the Data Stores API

Append to a record in your data store Pipedream Data Store. If the record does not exist, a new record will be created in an array format.

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Check for existence of key with the Data Stores API

Check if a key exists in your Pipedream Data Store or create one if it doesn't exist.

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Overview of Delay#

The Delay API in Pipedream is a built-in function that allows you to pause a workflow for a specified amount of time. This can be incredibly useful when you need to stagger API calls to avoid rate limits, wait for an external process to complete, or simply introduce a delay between actions in a sequence. With precision up to milliseconds, the Delay API provides a simple yet powerful tool for managing timing in automation workflows.

Connect Delay#

export default defineComponent({
  async run({steps, $}) {
    // Specify the amount of time to delay your workflow in milliseconds
    return $.flow.delay(5000)
  },
})

Overview of Data Stores#

Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.

Connect Data Stores#

export default defineComponent({
  props: {
    myDataStore: {
      type: "data_store",
    },
  },
  async run({ steps, $ }) {
    await this.myDataStore.set("key_here","Any serializable JSON as the value")
    return await this.myDataStore.get("key_here")
  },
})