Ylem documentation
  • 🗒️General information
    • Introduction to Ylem
    • Quick start guide
    • Release notes
  • 🔬Open-source edition
    • Installation
    • Usage of Apache Kafka
    • Task processing architecture
    • Configuring integrations with .env variables
  • 💡Integrations
    • Connecting an integration
    • Library of integrations
      • Amazon Redshift
      • Apache Kafka
      • APIs
      • Atlassian Jira
      • AWS Lambda
      • AWS RDS
      • AWS S3
      • ClickHouse
      • ElasticSearch
      • E-mail
      • Google Big Query
      • Google Cloud SQL
      • Google Pub/Sub
      • Google Sheets
      • Immuta
      • Incident.io
      • Jenkins
      • Hubspot
      • Microsoft Azure SQL
      • MySQL
      • OpenAI ChatGPT
      • Opsgenie
      • PostgreSQL
      • PlanetScale
      • RabbitMQ
      • Salesforce
      • Slack
      • Snowflake
      • Tableau
      • Twilio. SMS
      • WhatsApp (through Twilio)
    • Initial demo data source
  • 🚡Pipelines
    • Pipeline management
    • Tasks
      • Aggregator
      • API Call
      • Code
      • Condition
      • External trigger
      • Filter
      • For each
      • GPT
      • Merge
      • Notification
      • Query
      • Pipeline runner
      • Processor
      • Transformer
    • Running and scheduling pipelines
    • Library of templates
    • Environment variables
    • Mathematical functions and operations
    • Formatting of messages
  • 📈Statistics and profiling
    • Statistics of runs
    • Slow tasks
  • 📊Metrics
    • Metric management
    • Using previous values of a metric
  • 💼Use cases, patterns, templates, examples
    • Use cases
    • Messaging patterns
      • Datatype Channel
      • Message Dispatcher
      • Messaging Bridge
      • Message Bus
      • Message Filter
      • Message Router
      • Point-to-Point Channel
      • Publish-Subscribe Channel
      • Pull-Push
    • Functional use cases
      • Streaming from Apache Kafka and messaging queues
      • Streaming from APIs
      • Streaming from databases
      • Data orchestration, transformation and processing
      • Usage of Python and Pandas
      • KPI Monitoring
      • OKRs and custom metrics
      • Data Issues & Incidents
      • Reporting
      • Other functional use cases
    • Industry-specific use cases
      • Finance and Payments
      • E-commerce & Logistics
      • Customer Success
      • Security, Risk, and Anti-Fraud
      • Anti-Money Laundering (AML)
  • 🔌API
    • OAuth clients
    • API Reference
  • 👁️‍🗨️Other resources
    • FAQ
    • Our blog on Medium
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  1. Integrations

Connecting an integration

PreviousConfiguring integrations with .env variablesNextLibrary of integrations

Last updated 1 month ago

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Types of Integration

We support a wide range of integrations that belong to the following categories:

  • Push (, , , , etc.)

  • Read/Write (, , , and other SQL-based integrations)

  • Write (, , , , and other software)

  • Read-only ()

More integrations and information about connecting them can be found in our . And this list is growing since we are constantly adding new ones.

We recommend having both production and testing integrations connected, so you can always properly test your pipelines before using them on production.

💡
Apache Kafka
RabbitMQ
Google Pub/Sub
AWS S3
APIs
Snowflake
MySQL
PostgreSQL
Google Sheets
Slack
Tableau
WhatsApp
Elasticsearch
library