Gudu SQLFlow Product Docs
  • 1. Introduction
    • What is Gudu SQLFlow?
      • What SQLFlow can do
      • Architecture Overview
    • Getting Started
      • Sign up a new account
        • Team Management
        • Delete My Account
        • Activate by entering a coupon
      • How to use SQLFlow
      • Different modes in Gudu SQLFlow
        • Query mode
        • Job mode
      • Basic Usage
      • Convert SQL to E-R Diagram
      • Colors in SQLFlow Diagram
      • Show call relationship
    • Installation
      • Version and Users
        • Cloud and On-Premise version
        • SQLFlow before Version 6
          • For older version SQLFlow under Linux
          • For older version SQLFlow under MacOS
          • For older version SQLFlow under Windows
      • Linux
      • MacOS
      • Windows
      • Docker
      • Clickhouse Installation
        • Clickhouse For CentOs
        • Clickhouse For Ubuntu/Debian/RHEL
      • Troubleshooting
      • Upgrade
      • Third Party Components
      • Renew License File
    • UI
      • SQLText Editor
      • Schema Explorer
      • Diagram Panel
      • Settings
      • Job Management
        • Job Sources
    • Dlineage Tool
      • Overview
      • Usage
        • Analyze data linege from SQL files
        • Analyze data linege from a database
        • Resolve the ambiguous columns in SQL query
        • Map the DataFlowAnalyzer and the settings on SQLFlow UI
        • Settings
      • Dataflow.xml structure
      • FAQ
  • 2. CONCEPTS
    • Data Lineage Basics
      • Dataflow
        • Relations generated by SQLFlow
      • Direct Dataflow
      • Indirect Dataflow
      • Aggregate function and Dataflow
      • Dataflow chain
    • Data Lineage Format Reference
  • 3. API Docs
    • Prerequisites
    • Using the Rest API
    • SQLFlow Rest API reference
      • User Interface
      • Generation Interface
        • /sqlflow
        • /sqlflow/selectedgraph/table_level_lineage
        • /sqlflow/selectedgraph/image
        • /sqlflow/graph
        • /sqlflow/graph/table_level_lineage
        • /sqlflow/graph/image
        • /sqlflow/downstreamGraph
        • /sqlflow/upstreamGraph
        • /sqlflow/erdiagramSelectGraph
        • /sqlflow/leftMostSourceTableGraph
      • Job Interface
        • /submitUserJob
        • /displayUserJobSummary
        • /displayUserJobsSummary
        • /exportLineageAsJson
        • /exportFullLineageAsJson
        • /exportLineageAsGraphml
        • /submitPersistJob
        • /displayUserLatestJobTableLevelLineage
      • Export Image
      • Export CSV
        • /sqlflow/exportFullLineageAsCsv
        • /job/exportFullLineageAsCsv
    • Swagger UI
    • Export the data lineage result
    • Python
      • Basic Usage
      • Advanced Usage
    • SQL Parser API
      • checkSyntax
  • 4. SQLFlow Widget
    • Widget Get started
    • Usages
    • Widget API Reference
  • 5. Databases
    • Database Objects
      • Azure
      • DB2
  • 6. SQLFlow-ingester
    • Introduction
      • SQLFlow-Exporter
      • SQLFlow-Extractor
      • SQLFlow-Submitter
    • Get Started
      • SQL Server
    • SQLFlow-Ingester Java API Usage
    • Understand the format of exported data
      • Oracle
      • Microsoft SQL Server
      • MySQL
      • PostgreSQL
    • List of Supported dbVendors
    • Git Repo
    • Third Party Components
  • 7. Reference
    • Lineage Model
      • Json Format Lineage Model
      • XML Format Lineage Model
      • Data Lineage Elements
    • Database Model
  • 8. other
    • FAQ
      • Handling Internal Database
      • Delete Your Account
      • Table Form Data Without Intermediates
      • Not all schema exported from Oracle
      • Lineage Customization
    • Roadmap
    • SQL Samples
      • Exchange table partition
      • Generate relationship for renamed table
      • Snowflake table function lineage detection
    • Change Logs
    • SQLFlow with Oracle XML functions
    • Major Organizations Utilizing SQLFlow
Powered by GitBook
On this page
  • Simple Version
  • Regular Version
  1. 1. Introduction
  2. Installation

Version and Users

PreviousInstallationNextCloud and On-Premise version

Last updated 1 year ago

Gudu SQLFlow On-Premise has two different versions:

  • Simple version

  • Regular version

Simple Version

The simple version of Gudu SQLFlow On-Premise contains all basic features of Gudu SQLFlow. You will be able to generate data lineage from different SQL sources(SQL script or different db vendors), to visualize the data lineage and to create on your server. However, cannot be created under the simple version of On-Premise.

Regular Version

You can create with the regular version of Gudu SQLFlow On-Premise. Apart from that, On-Premise regular version is same as simple version. You will need to install Clickhouse on your server if you intend to use the regular version. Check to see how to setup a regular On-Premise version on your machine.

Check to understand the difference between Simple Job and Regular Job.

this document
here
Simple Job
Regular Job
Regular Job