Can Google BigQuery connect with TheHive?

Yes, Google BigQuery can connect with TheHive using n8n.io. With n8n, you can create workflows that automate tasks and transfer data between Google BigQuery and TheHive. Configure nodes for Google BigQuery and TheHive in the n8n interface, specifying actions and triggers to set up their connection.

Can I use Google BigQuery’s API with n8n?

Yes, with n8n, you can programmatically interact with Google BigQuery’s API via pre-defined supported actions or raw HTTP requests. With the HTTP Request node, you create a REST API call. You need to understand basic API terminology and concepts.

Can I use TheHive’s API with n8n?

Yes, with n8n, you can programmatically interact with TheHive’s API via pre-defined supported actions or raw HTTP requests. With the HTTP Request node, you create a REST API call. You need to understand basic API terminology and concepts.

Is n8n secure for integrating Google BigQuery and TheHive?

Yes, it is safe to use n8n to integrate Google BigQuery and TheHive. n8n offers various features to ensure the safe handling of your data. These include encrypted data transfers, secure credential storage, RBAC functionality, and compliance with industry-standard security practices (SOC2 compliant). For hosted plans, data is stored within the EU on servers located in Frankfurt, Germany. You can also host it on your own infrastructure for added control. Learn more about n8n’s security practices here.

How to get started with Google BigQuery and TheHive integration in n8n.io?

To start integrating Google BigQuery and TheHive in n8n, you have different options depending on how you intend to use it: n8n Cloud: hosted solution, no need to install anything. Self-host: recommended method for full-control or customized use cases. Unlike other platforms that charge per operation, step, or task, n8n charges only for full workflow executions. This approach guarantees predictable costs and scalability, no matter the complexity or volume of your workflows.

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Google BigQuery

TheHive

Google BigQuery and TheHive integration

Save yourself the work of writing custom integrations for Google BigQuery and TheHive and use n8n instead. Build adaptable and scalable Data & Storage, and Development workflows that work with your technology stack. All within a building experience you will love.

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How to connect Google BigQuery and TheHive

Step 1: Create a new workflow
Step 2: Add and configure nodes
Step 3: Connect
Step 4: Customize and extend your integration
Step 5: Test and activate your workflow

Step 1: Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

Google BigQuery and TheHive integration: Create a new workflow and add the first step

Step 2: Add and configure Google BigQuery and TheHive nodes

You can find Google BigQuery and TheHive in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure Google BigQuery and TheHive nodes one by one: input data on the left, parameters in the middle, and output data on the right.

Google BigQuery and TheHive integration: Add and configure Google BigQuery and TheHive nodes

Step 3: Connect Google BigQuery and TheHive

A connection establishes a link between Google BigQuery and TheHive (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

Google BigQuery and TheHive integration: Connect Google BigQuery and TheHive

Step 4: Customize and extend your Google BigQuery and TheHive integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect Google BigQuery and TheHive with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

Google BigQuery and TheHive integration: Customize and extend your Google BigQuery and TheHive integration

Step 5: Test and activate your Google BigQuery and TheHive workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Google BigQuery to TheHive or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

Google BigQuery and TheHive integration: Test and activate your Google BigQuery and TheHive workflow

Build your own Google BigQuery and TheHive integration

Create custom Google BigQuery and TheHive workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

Google BigQuery supported actions

Database

Execute Query

Execute a SQL query

Insert

Insert rows in a table

TheHive supported actions

Alert
Case
Log
Observable
Task

Create

Create task log

Execute Responder

Execute a responder on a selected log

Get Many

Get many task logs

Get

Get a single log

Google BigQuery and TheHive integration details

Many businesses use the Google Cloud service BigQuery for data reporting. BigQuery is categorized as an Advanced Data Connector. The amount of data that needs to be processed could be quite large (up to 10,000 columns and tens of millions of rows).

Google BigQuery node docs + examples

Google BigQuery credential docs

See Google BigQuery integrations

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Data & Storage

Development

TheHive is a powerful scalable open-source and free security incident response platform. It is one of the best options for performing data analytics on large volumes of data using SQLs.

TheHive node docs + examples

TheHive credential docs

See TheHive integrations

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Google BigQuery and TheHive integration tutorials

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