Redis and TimescaleDB integration

Save yourself the work of writing custom integrations for Redis and TimescaleDB and use n8n instead. Build adaptable and scalable Development, Data & Storage, workflows that work with your technology stack. All within a building experience you will love.

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How to connect Redis and TimescaleDB

Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

Build your own Redis and TimescaleDB integration

Create custom Redis and TimescaleDB workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

Redis supported actions

Delete

Delete a key from Redis

Get

Get the value of a key from Redis

Increment

Atomically increments a key by 1. Creates the key if it does not exist.

Info

Returns generic information about the Redis instance

Keys

Returns all the keys matching a pattern

Pop

Pop data from a redis list

Publish

Publish message to redis channel

Push

Push data to a redis list

Set

Set the value of a key in redis

TimescaleDB supported actions

Execute Query

Execute an SQL query

Insert

Insert rows in database

Update

Update rows in database

Redis and TimescaleDB integration details

Redis

Redis is an open-source, advanced key-value store. It is often referred to as a data structure server. Its high performance makes it a favorite fast data store, cache, and even lightweight message broker.

Redis node docs + examples

Redis credential docs

See Redis integrations

Related categories

Development Data & Storage

TimescaleDB

TimescaleDB is a great open-source database invented to make SQL scalable for time-series data. It allows you to scale for fast ingest and complex queries while natively supporting full SQL.

TimescaleDB node docs + examples

TimescaleDB credential docs

See TimescaleDB integrations

Related categories

Data & Storage Development

Other integrations with Redis

Other integrations with TimescaleDB

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