PostgreSQL + Kayako Integrations
Put PostgreSQL + Kayako to work with AI and enterprise-grade automation
4.9/5 on G2·
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Workflows you can build between PostgreSQL and Kayako
See the kind of workflows teams build with PostgreSQL and Kayako below — describe the exact one you want above and the Agent builds it on demand.
PostgreSQL + Kayako
When a new organization is created in Kayako, write the organization data to PostgreSQL.
Log new support tickets directly into database tables
When a customer submits a new ticket in Kayako, instantly insert a record into PostgreSQL to preserve central activity logs.
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Update ticket status when backend database state changes
When an issue or order status row is updated in PostgreSQL, automatically adjust the related ticket status in Kayako.
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Record SLA breaches in reporting database tables
Whenever a ticket breaches its SLA in Kayako, insert an event row in PostgreSQL to track team compliance metrics over time.
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Browse the full workflow library →
Looking to achieve something else with PostgreSQL and Kayako?
Just describe what you need — the Agent researches both APIs and builds the real automation on demand.
Try Knit FreeTriggers & actions for PostgreSQL and Kayako
Everything PostgreSQL and Kayako can do inside a workflow — the triggers that start one and the actions that run when it fires.
PostgreSQL Explore PostgreSQL →
PostgreSQL is an open-source object-relational database management system known for its strong data reliability, feature robustness, and extensible SQL capabilities.
Knit's Integrations Agent builds PostgreSQL's triggers and actions on demand — describe the automation in plain English and it writes and runs real code against PostgreSQL's API.
Kayako Explore Kayako →
A customer service and help desk software that unifies customer conversations across live chat, email, and social media.
TriggersTriggers whenever a new conversation is created.
Triggers when a new organization is created.
Triggers when a new user account is created.
Triggers whenever a reply is received on a conversation (also triggered on the first post).
Triggers when a tag is added to a conversation.
Triggers when a tag is added to an organization in Kayako.
Adds a private note to an existing conversation.
Adds tags to an existing conversation.
Adds tags to an existing organization.
Adds tags to an existing user.
Creates a conversation with the first post as a email.
Creates a new conversation with the first post as a private note.
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Other Ticketing apps on Knit
Explore more Ticketing integrations you can automate with Knit — or describe a custom workflow and the Agent builds it.
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BirdSeed
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Customer Stories
See how leading technology firms are scaling their operations
Amazing Product With Exceptional Support from the team. By using Knit we managed to speed up our development by orders of magnitude.
A brilliant tool to let you seamlessly integrate with many different systems. It is very easy to integrate with and customer support is next level.
Seamless integration experience. Well-documented, self-explanatory APIs, and excellent service and support.
Easy to integrate. Knit's dashboard is intuitive for setting up and testing integrations, and the sandbox is extremely useful during development.
Knit shipped a brand-new Timesheet API in a week and handed us a ready-to-use NetSuite sandbox. That velocity is priceless when you're running payroll in 40+ countries.
#1 in Ease of Integrations
4.9 out of 5 stars on G2
Common questions about PostgreSQL + Kayako
Is there a pre-built PostgreSQL + Kayako automation?
Not yet, but Knit's Integrations Agent can build one — describe what you want and it researches PostgreSQL and Kayako's public API docs (or your own uploaded docs) and builds a working automation.
Does this require a pre-built PostgreSQL or Kayako connector?
No. The Agent works whether or not PostgreSQL or Kayako already has a pre-built connector in Knit's catalog — it researches the real API surface either way.
How long does it take to build?
Minutes to build a first working version, not weeks — you test it against real data before it goes anywhere near production.
What's the most common Databases & Warehouses + Ticketing automation?
Writing new and updated tickets from Kayako into a table in PostgreSQL continuously, so support metrics stay current without a manual export.
Does this capture custom fields and tags, or just the basics?
The Agent maps whatever custom fields and tags Kayako exposes, not just the default ticket schema, into the matching columns in PostgreSQL.