ReOrc docs
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  • About ReOrc
  • Set up and deployment
    • Set up organization
    • Install ReOrc agent
  • Getting started
    • 1. Set up a connection
      • BigQuery setup
    • 2. Create a project
    • 3. Create data models
    • 4. Build models in console
    • 5. Set up a pipeline
  • Connections
    • Destinations
      • Google Service Account
    • Integrations
      • Slack
  • Data modeling
    • Overview
    • Sources
    • Models
      • Model schema
      • Model configurations
    • Jinja templating
      • Variables
      • Macros
    • Materialization
    • Data lineage
    • Data tests
      • Built-in generic tests
      • Custom generic tests
      • Singular tests
  • Semantic modeling
    • Overview
    • Data Modelling vs Semantic Layer
    • Cube
      • Custom Dimension
      • Custom Measure
        • Aggregation Function
        • SQL functions and operators
        • Calculating Period-over-Period Changes
      • Relationship
    • View
      • Primary Dimension
      • Add Shared Fields
    • Shared Fields
    • Integration
      • Guandata Integration
      • Looker Studio
  • Pipeline
    • Overview
    • Modeling pipeline
    • Advanced pipeline
    • Job
  • Health tracking
    • Pipeline health
    • Data quality
  • Data governance
    • Data protection
  • Asset management
    • Console
    • Metadata
    • Version history
    • Packages and dependencies
  • DATA SERVICE
    • Overview
    • Create & edit Data Service
    • Data preview & download
    • Data sharing API
    • Access control
  • AI-powered
    • Rein AI Copilot
  • Settings
    • Organization settings
    • Project settings
    • Profile settings
    • Roles and permissions
  • Platform Specific
    • Doris/SelectDB
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On this page
  • Data warehouses
  • Databases
  • Data storages
  • How the connections work
  • Database permissions
  1. Connections

Destinations

Previous5. Set up a pipelineNextGoogle Service Account

Last updated 15 days ago

The Destination section contains all the connections to data sources that you can use in your project. ReOrc provides a wide range of connectors to data sources for the flexible needs and objectives for your businesses.

Each data source / provider can require specific authentication method and parameters.

Below is the list of available data sources.

Data warehouses

  • Azure Synapse

  • Big Query

  • Hive

  • Impala

Databases

  • ClickHouse

  • Apache Doris

  • ElasticSearch

  • MongoDB

  • Microsoft SQL Server

  • MySQL

  • Phoenix

  • PostgreSQL

  • Redshift

  • Spark

  • StarRocks

  • TiDB

Data storages

  • Azure Blob

  • FTP

  • Google Cloud Storage

  • Aliyun OSS

  • ownCloud

  • Amazon S3

  • SFTP

  • Tencent COS

How the connections work

When you set up connections within your organization, you direct the agent to establish secure links to your data sources. Therefore, all data transformations and persistence occur directly between the agent and your data sources.

Database permissions

When setting up a database connection in ReOrc, you must configure it with user credentials that have sufficient permissions. Each data provider may have a different approach to granting permissions, but generally, the database user must have:

  • Read permissions (SELECT): To access and query source data tables.

  • Write permissions (CREATE, INSERT, UPDATE): To save transformed data and model results.

Ensure these permissions are granted specifically for the target schema where you plan to query and transform data.

In , ReOrc agent is the component that receives instructions from the Control Plane and executes the corresponding tasks in the Data Plane. This also involves registering and maintaining the connections to data sources.

ReOrc architecture