AutessaDB

Triggers and pipelines

Row changes become automation: triggers run tools, agents and writes, chain across tables, and leave a full execution history.

Create a free database

Trigger · Send Welcome EmailenabledSAMPLE

eventINSERT

filterSpecified Columns · email Became Non-Null

actionInvoke Tool · SendWelcomeEmail

to@@{email}

name@@{first_name}

-- why it matters

What does triggers and pipelines cover?

AutessaDB triggers run tools, agents or table updates when rows change, chain into pipelines, and record every firing with before and after data.

Data that changes should be able to start work. Triggers run tools, agents and writes when rows change, chain into pipelines whose stages are tables you can inspect, and keep a complete history of every firing.

Who works here

Builders with PUBLISH add triggers; table admins edit, disable and debug them; the people a trigger runs as can see its firings.

In one sentence each

Database triggers · A trigger fires on insert, update or delete, checks column conditions, and runs a tool, an agent, a multi-agent or a table update with the row values.
Pipelines and impact analysis · Triggers that write rows into other tables chain into pipelines, and an impact analyzer maps the cascade and warns about cycles before anything runs.
Trigger execution history · Every firing keeps a snapshot of the trigger, the row before and after, and the action response, so debugging starts from facts.

-- subtopics

Everything in triggers and pipelines

Database triggers

A trigger fires on insert, update or delete, checks column conditions, and runs a tool, an agent, a multi-agent or a table update with the row values.

Pipelines and impact analysis

Triggers that write rows into other tables chain into pipelines, and an impact analyzer maps the cascade and warns about cycles before anything runs.

Trigger execution history

Every firing keeps a snapshot of the trigger, the row before and after, and the action response, so debugging starts from facts.

-- on screen

What it looks like

Pipelines and impact analysis

stage 1intake⚡ INSERT → ExtractText tool

stage 2documents⚡ text non-null → ReviewAgent

stage 3reviewed⚡ verdict = ok → copy to published

analyze-trigger-impact · intake INSERTstatic · nothing runsSAMPLE

matched triggers   3
tables touched     intake, documents, reviewed, published
tools / agents     ExtractText, ReviewAgent
detectedCycles     1  severity: WARNING
  documents → reviewed → documents (verdict = redo)

Trigger execution history

Trigger Execution History · signups · Sep 2026SAMPLE

triggereventresponsetime

Send Welcome EmailINSERT20009:12

Score LeadUPDATE20009:13

Send Welcome EmailINSERTfailed09:20

Database Eventemail: ~~null~~ → mei@example.com

Trigger ResponseMail provider rejected address

-- faq

Questions about triggers and pipelines

What can an AutessaDB trigger do?

Run a tool, an agent, a multi-agent, or insert or update a row in another table, with the changed row's values passed in.

Do I need a message queue for multi-step processing?

No. Triggers that write rows into other tables chain into pipelines, and each stage is a table you can inspect.

Can I see what a trigger looked like when it fired?

Yes. Each firing keeps a snapshot of the trigger definition, flagged if the trigger was later deleted.

Other areas of AutessaDB

data_modelingTables and data modeling →AutessaDB tables are typed, related and computed: text, number, select and media columns, foreign keys, AutessaScript computed columns, write-once ledger tables and one-click knowledge bases.queries_and_apisQueries, APIs and SDKs →One query model everywhere: the same filters, sorts, aggregates and bulk writes work in the builder, the REST API, the CLI, scripts and agent tools.vector_searchSemantic search and AI →Vector search is a column setting, not a second database: flip it on and AutessaDB indexes, enriches and serves every value to people and agents.row_level_securityRow-level security and access →Every read and write, from a person, agent, script, app or API key, passes through the same row rules, column masks and access log.data_lakeData lake and analytics →A columnar data lake for events, logs, history and exports: bulk loads, partitions, analytical SQL, a semantic layer, plain-language Ask, data agents and archive tiers, all under the same security as your tables.files_and_appsFiles, apps and operations →AutessaDB is also the backbone for files and apps: Drives, app sign-in tables and per-visitor rules, with soft delete as the safety net.

$ autessa autessadb tables create

Triggers and pipelines, built into one database.

Use it out of the box, then shape it to how your company works. Tables, the data lake, security and triggers are all the same AutessaDB, from the builder, the API or the CLI.

Create a free database

Read the AutessaDB guide or install the CLI.

100% customizable, code and all

Make AutessaDB fully your own.

Use it out of the box, then change anything. Ask Autobot, Autessa’s AI builder, for a new field, screen, report, workflow or agent and it builds it into your copy of the app. Or open the code and edit it yourself. Nothing is locked: the app, its data and its code are yours.

Start free and make it yours