Read & query data
Pull live records, search entities, and keep downstream systems up to date.
- Query (SELECT)
Integration
Integrate Amazon RDS Aurora Serverless into the workflow using the Data API. Can query, insert, update, delete, and execute raw SQL without managing database connections.
Amazon RDS Aurora Serverless is a fully managed relational database that automatically starts up, shuts down, and scales capacity based on your application's needs.
What can you do with the Amazon RDS integration? Amazon RDS Aurora Serverless is a fully managed relational database that automatically starts up, shuts down, and scales capacity based on your application's needs. It allows you to run SQL databases in the cloud without managing database servers. With RDS Aurora Serverless, you can: AptlyStar exposes 6 operations so teams can automate end-to-end processes without maintaining brittle scripts.
Compose Amazon RDS with the rest of your stack using visual workflows and agents.
Pull live records, search entities, and keep downstream systems up to date.
Insert, upsert, and patch objects so Amazon RDS workflows stay synchronized automatically.
Archive, delete, merge, and reconcile records with guardrails and approvals.
React to webhooks and polling triggers the moment something happens.
Aggregate metrics, export datasets, and feed BI or agent summaries.
React to webhooks and polling triggers the moment something happens.
Ship AI workflows that read, decide, and act on Amazon RDS — with guardrails and human approvals where you need them.
Build a scheduled workflow that runs an aggregate SQL query against my Amazon RDS database each morning, summarizes the key numbers with an agent, and posts the digest to Slack.
Explore templatesCreate an agent that introspects my Amazon RDS schema, turns plain-English questions into SQL, runs the query through the Data API, and returns the results in a readable answer.
Explore templatesBuild a workflow triggered by a form submission that validates the payload and inserts a new lead row into my Amazon RDS database, then confirms the write back to the submitter.
Explore templatesCreate a scheduled workflow that queries Amazon RDS for the latest records, writes the rows into an AptlyStar table, and keeps a running export the operations team can review.
Explore templatesBuild a workflow that reads update requests posted in a Slack channel, parses the target record and fields with an agent, and runs the matching UPDATE against Amazon RDS with the conditions applied.
Explore templatesCreate a scheduled workflow that queries Amazon RDS for rows matching a watch condition, compares them to the previous run stored in a table, and posts a Slack alert when a tracked record changes.
Explore templatesConnect Amazon RDS once, then reuse the same blocks across agents, workflows, and templates.
Teams lose hours copying data between Amazon RDS and CRMs, inboxes, and spreadsheets. AptlyStar connects Amazon RDS to 6+ operations so updates flow automatically.
Learn moreOne-off scripts break when APIs change. Use visual workflows, retries, and typed blocks so Amazon RDS automations stay maintainable as you grow.
Learn moreAgents need live Amazon RDS context without over-permissioned keys. Connect credentials once, apply guardrails, and let agents act through audited workflow runs.
Learn moreReady-to-use workflow templates that include Amazon RDS, just like in the app.
RDS daily metrics digest
Build a scheduled workflow that runs an aggregate SQL query against my Amazon RDS database each morning, summarizes the key numbers with an agent, and posts the digest to Slack.
RDS natural-language query agent
Create an agent that introspects my Amazon RDS schema, turns plain-English questions into SQL, runs the query through the Data API, and returns the results in a readable answer.
RDS lead capture
Build a workflow triggered by a form submission that validates the payload and inserts a new lead row into my Amazon RDS database, then confirms the write back to the submitter.
RDS to spreadsheet export
Create a scheduled workflow that queries Amazon RDS for the latest records, writes the rows into an AptlyStar table, and keeps a running export the operations team can review.
RDS record updater from Slack
Build a workflow that reads update requests posted in a Slack channel, parses the target record and fields with an agent, and runs the matching UPDATE against Amazon RDS with the c...
RDS row-change alerter
Create a scheduled workflow that queries Amazon RDS for rows matching a watch condition, compares them to the previous run stored in a table, and posts a Slack alert when a tracked...
Design multi-step automations with blocks, branches, loops, and human-in-the-loop checkpoints — no boilerplate code.
Learn moreGive agents tools, memory, and guardrails so they can plan, call integrations, and finish tasks across your stack.
Learn moreGround agents in docs and tables, then trace every run with logs, evaluations, and deployment controls.
Learn moreAmazon DynamoDB
Get, put, query, scan, update, and delete items in Amazon DynamoDB tables
Databricks
Run SQL queries and manage jobs on Databricks
Microsoft Dataverse
Manage records in Microsoft Dataverse tables
MongoDB
Connect to MongoDB database
Redis
Key-value operations with Redis
S3
Upload, download, list, and manage S3 files
Supabase
Use Supabase database
Upstash
Serverless Redis with Upstash
Connect Amazon RDS to agents and workflows in minutes — no credit card required.