Anvyl and JDBC integrations and automations

Seamlessly connect Anvyl and JDBC. Automate workflows, and boost efficiency with Workato.

Rating

4.9

Pre-built

150+

integrations

Total

100+

active users

avg

2 min

to connect

Custom Connections

Available

via HTTP connector

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Build Powerful Workflows, fast

Triggers

When this happens…

Anvyl
  • New or updated records Real-time
    New or updated records in Anvyl

    • Any other trigger you can think up

JDBC
  • New row
    New row in a table in JDBC source
  • New rows Batch
    New batch of rows in a table in JDBC source
  • New rows via custom SQL Batch
    New batch of rows via custom SQL in JDBC source
  • Scheduled query Batch
    Scheduled query using custom SQL in JDBC source
  • New/updated rows via custom SQL Batch
    New/updated batch of rows via custom SQL in JDBC source

    • Any other trigger you can think up

Actions

Do this…

Anvyl
  • Bulk Import Records
    Bulk Import Records in Anvyl
  • Complete a Task
    Complete a Task in Anvyl
  • Confirm Milestone
    Confirm Milestone in Anvyl
  • Get (Split) Order Collections
    Get (Split) Order Collections in Anvyl
  • Get Order Milestones
    Get Order Milestones in Anvyl
  • Get Order Schedule
    Get Order Schedule in Anvyl
  • Get Record By ID
    Get Record By ID in Anvyl
  • Import Parts and Suppliers
    Import Parts and Suppliers in Anvyl
  • Import Record
    Import Record in Anvyl
  • Issue Purchase Order
    Issue Purchase Order in Anvyl
  • Query Records
    Query Records in Anvyl
  • Reopen a Task
    Reopen a Task in Anvyl
  • Update Order Milestone Timeline
    Update Order Milestone Timeline in Anvyl
  • Update record
    Update record in Anvyl

    • Any other action you can think up

JDBC
  • Export query result
    Export query result as a CSV file in JDBC source
  • Insert rows Batch
    Insert batch of rows in a table in JDBC source
  • Run custom SQL Batch
    Run custom SQL in JDBC source
  • Run long query using custom SQL
    Run long query using custom SQL in JDBC source
  • Select rows Batch
    Select rows in a table in JDBC source
  • Select rows using custom SQL Batch
    Select rows using custom SQL in JDBC source

    • Any other action you can think up

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