Unito Reviews

Apache Camel Reviews

Unito mentions (7)

• Auto Exporting Airtable to Google Sheets

  Odd request considering if they have too much data google sheets is going to become super slow. But check out https://unito.io or if you have a bigger budget you could consider and Reverse ETL tool that can grab Airtable as a source and destination as google sheets. Source: over 1 year ago

• Two Jira instances, one view to rule them all

  Smartsheet has an offering, and https://unito.io/ focuses on 2-way integrations that looks pretty scalable and approachable. Source: over 1 year ago

• Displaying multiple databases in one aggregate database

  If you want to do this and don't have time to set it up via the Notion API properly, you can use Unito (https://unito.io/). Source: almost 2 years ago

• Is there a way to make the comments added to a card get added to its copy?

  Yes! Technically - but I think you also don't need to use the power-up for it to work. It's technically just another application that connects to trello! https://unito.io/. Source: almost 2 years ago

• Excel and Trello integration tips

  Also looks like Unito has an Excel integration "coming soon" (not sure how soon) - but I think you might be interested in that as it would do exactly what you're looking for with connecting the two tools and making any changes reflect both ways. https://unito.io/. Source: about 2 years ago

Apache Camel mentions (12)

• Ask HN: What is the correct way to deal with pipelines?

  "correct" is a value judgement that depends on lots of different things. Only you can decide which tool is correct. Here are some ideas: - https://camel.apache.org/ - https://www.windmill.dev/ Your idea about a queue (in redis, or postgres, or sqlite, etc) is also totally valid. These off-the-shelf tools I listed probably wouldn't give you a huge advantage IMO. - Source: Hacker News / 9 months ago

• Why messaging is much better than REST for inter-microservice communications

  This reminds me more of Apache Camel[0] than other things it's being compared to. > The process initiator puts a message on a queue, and another processor picks that up (probably on a different service, on a different host, and in different code base) - does some processing, and puts its (intermediate) result on another queue This is almost exactly the definition of message routing (ie: Camel). I'm a bit doubtful... - Source: Hacker News / over 1 year ago

• Can I continuously write to a CSV file with a python script while a Java application is continuously reading from it?

  Since you're writing a Java app to consume this, I highly recommend Apache Camel to do the consuming of messages for it. You can trivially aim it at file systems, message queues, databases, web services and all manner of other sources to grab your data for you, and you can change your mind about what that source is, without having to rewrite most of your client code. Source: over 1 year ago

• S3 to S3 transform

  For a simple sequential Pipeline, my goto would be Apache Camel. As soon as you want complexity its either Apache Nifi or a micro service architecture. Source: over 1 year ago

• 🗞️ We have just released our JBang! catalog 🛍️

  🐪 Apache Camel : Camel JBang, A JBang-based Camel app for easily running Camel routes. - Source: dev.to / over 1 year ago