Clickhouse Recipes
No limits in how Clickhouse may be connected with your services and APIs using a time-saving approach.
These recipes may help you to get started with the use of Clickhouse in YepCode. Some ideas:
- Build your ETLs with other databases
- Push information from your database to any API (or viceversa)
- Automate reports generation
- Perform selective backups
- …and much more!
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Showing 61 recipes
- Airtable to Clickhouse
List records from Airtable table using them to insert rows into Clickhouse table
- Amazon S3 CSV file to Clickhouse
Read CSV file entries from Amazon S3 bucket using them to insert rows into Clickhouse table
- AWS Redshift to Clickhouse
Read rows from AWS Redshift table using them to insert rows into Clickhouse table
- Clickhouse to Airtable
Read rows from Clickhouse table using them to create new records on Airtable table
- Clickhouse to Amazon S3 CSV file
Read rows from Clickhouse table using them to create CSV file entries in Amazon S3 Bucket
- Clickhouse to Apollo.io contacts
Read rows from Clickhouse table using them to create contacts using Apollo.io API
- Clickhouse to AWS Redshift
Read rows from Clickhouse table using them to insert rows into AWS Redshift table
- Clickhouse to Clickhouse
Read rows from Clickhouse table using them to insert rows into Clickhouse table
- Clickhouse to Factorial employees
Read rows from Clickhouse table using them to create employees using Factorial HR API
- Clickhouse to Firebase Realtime Database
Read rows from Clickhouse table using them to insert items into Firebase Realtime Database
- Clickhouse to Google BigQuery
Read rows from Clickhouse table using them to insert rows into Google BigQuery table
- Clickhouse to Google Sheets
Read rows from Clickhouse table using them to insert rows into Google Sheets table
- Clickhouse to Google Storage CSV file
Read rows from Clickhouse table using them to create CSV file entries in Google Storage Bucket
- Clickhouse to GraphQL
Read rows from Clickhouse table using them to call a GraphQL mutation
- Clickhouse to Holded contacts
Read rows from Clickhouse table using them to create contacts using Holded API
- Clickhouse to Holded product stock
Read rows from Clickhouse table using them to update product stocks using Holded API
- Clickhouse to HubSpot contacts
Read rows from Clickhouse table using them to create HubSpot contacts
- Clickhouse to Kafka
Read rows from Clickhouse table using them to send Kafka topic messages
- Clickhouse to Keycloak users
Read rows from Clickhouse table using them to create Keycloak users
- Clickhouse to Microsoft SQL Server
Read rows from Clickhouse table using them to insert rows into Microsoft SQL Server table
- Clickhouse to MongoDB
Read rows from Clickhouse table using them to insert documents into MongoDb collection
- Clickhouse to MySQL
Read rows from Clickhouse table using them to insert rows into MySQL table
- Clickhouse to Oracle
Read rows from Clickhouse table using them to insert rows into Oracle table
- Clickhouse to Personio employees
Read rows from Clickhouse table using them to create employees using Personio API
- Clickhouse to Pipedrive persons
Read rows from Clickhouse table using them to create persons in Pipedrive
- Clickhouse to PostgreSQL
Read rows from Clickhouse table using them to insert rows into PostgreSQL table
- Clickhouse to RabbitMQ
Read rows from Clickhouse table using them to send RabbitMQ messages
- Clickhouse to REST API
Read rows from Clickhouse table using them to calls a REST API endpoint
- Clickhouse to Segment
Read rows from Clickhouse table using them to send Segment track event
- Clickhouse to Snowflake
Read rows from Clickhouse table using them to insert rows into Snowflake table
- Discord messages to Clickhouse
Get Discord messages using them to insert rows into Clickhouse table
- Factorial leaves to Clickhouse
Get employee leaves from Factorial HR API using them to insert rows into Clickhouse table
- Firebase Realtime Database to Clickhouse
Read items from Firebase Realtime Database using them to insert rows into Clickhouse table
- Google BigQuery to Clickhouse
Read rows from Google BigQuery table using them to insert rows into Clickhouse table
- Google Sheets to Clickhouse
Read rows from Google Sheets using them to insert rows into Clickhouse table
- Google Storage CSV file to Clickhouse
Read CSV file entries from Google Storage bucket using them to insert rows into Clickhouse table
- GraphQL to Clickhouse
Read a JSON array from one GraphQL API using them to insert rows into Clickhouse table
- Holded documents to Clickhouse
Get documents from Holded API using them to insert rows into Clickhouse table
- HubSpot contacts to Clickhouse
Get HubSpot contacts using them to insert rows into Clickhouse table
- Microsoft SQL Server to Clickhouse
Read rows from Microsoft SQL Server table using them to insert rows into Clickhouse table
- MongoDB to Clickhouse
Read documents from MongoDB collection using them to insert rows into Clickhouse table
- MySQL to Clickhouse
Read rows from MySQL table using them to insert rows into Clickhouse table
- Notion pages to Clickhouse
Get Notion pages using them to insert rows into Clickhouse table
- Oracle to Clickhouse
Read rows from Oracle table using them to insert rows into Clickhouse table
- Pipedrive persons to Clickhouse
Get persons from Pipedrive using them to insert rows into Clickhouse table
- PostgreSQL to Clickhouse
Read rows from PostgreSQL table using them to insert rows into Clickhouse table
- Remote CSV file to Clickhouse
Read CSV entries from a remote file using them to insert rows into Clickhouse table
- REST API to Clickhouse
Read a JSON array from one REST API using them to insert rows into Clickhouse table
- Send Discord messages with Clickhouse information
Read rows from Clickhouse table using them to send Discord messages
- Send email with Clickhouse information
Read rows from Clickhouse table using them to send email messages
- Send Slack messages with Clickhouse information
Read rows from Clickhouse table using them to send Slack messages
- Send SMS using Twilio with Clickhouse information
Read rows from Clickhouse table using them to send SMS using Twilio
- Send SMS using Vonage API with Clickhouse information
Read rows from Clickhouse table using them to send SMS using Vonage API
- Send WhatsApp messages using Twilio with Clickhouse information
Read rows from Clickhouse table using them to send WhatsApp messages using Twilio
- Send WhatsApp messages using Vonage API with Clickhouse information
Read rows from Clickhouse table using them to send WhatsApp messages using Vonage API
- Send WhatsApp messages with template using Vonage API with Clickhouse information
Read rows from Clickhouse table using them to send WhatsApp messages with template using Vonage API
- Shopify orders to Clickhouse
Get orders from Shopify API using them to insert rows into Clickhouse table
- Snowflake to Clickhouse
Read rows from Snowflake table using them to insert rows into Clickhouse table
- Tinybird to Clickhouse
Get Tinybird CSV endpoint entries using them to insert rows into Clickhouse table
- Webhook to Clickhouse
Uses a custom Webhook to read items payload using them to insert rows into Clickhouse table
- ZoomInfo contacts to Clickhouse
Get contacts from ZoomInfo API using them to insert rows into Clickhouse table
FAQs
These recipes are a good starting point for you to build your own YepCode processes and solve your integration and automation problems.
YepCode is a SaaS platform that allows to create, execute and monitor integrations and automations using source code in a serverless environment.
We like to call it the Zapier for developers, since we bring all the agility and benefits of NoCode tools (avoid server provisioning, environment configuration, deployments,...), but with all the power of being able to use a programming language like JavaScript with a NodeJS engine.
You only have to fill the sign up form and your account will be created with our FREE plan (no credit card required).
YepCode has been created with a clear enterprise approach (multi-tenant environment, team management, high security and auditing standards, IdP integrations, on-premise options,...) so we can be the Swiss army knife of any team of engineering, especially those that need to extract or send information to external systems, and where a certain dynamism or adaptation to change is necessary in that process.
Sure! You just need to do some configuration to allow YepCode servers to connect to that service. Check our docs page to get more information.