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Based on our record, Airbyte should be more popular than Apache Camel. It has been mentiond 53 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Airbyte is an open-source data integration platform that supports log-based CDC from databases like Postgres, MySQL, and SQL Server. To assist log-based CDC, Airbyte uses Debezium to capture various operations like INSERT and UPDATE. - Source: dev.to / about 1 month ago
Whenever we discuss event streaming, Kafka inevitably enters the conversation. As the de facto standard for event streaming, Kafka is widely used as a data pipeline to move data between systems. However, Kafka is not the only tool capable of facilitating data movement. Products like Fivetran, Airbyte, and other SaaS offerings provide user-friendly tools for data ingestion, expanding the options available to... - Source: dev.to / 4 months ago
Let’s say I’m using Cursor to build a bunch of data apps and using Airbyte as the data movement platform and Streamlit for the frontend. I’m writing in Python and using the Airbyte API libraries. This is my basic ‘tech stack’. - Source: dev.to / 5 months ago
Some popular tools for data extraction are Airbyte, Fivetran, Hevo Data, and many more. - Source: dev.to / 5 months ago
Open source tools like Apache Superset, Airbyte, and DuckDB are providing cost-effective and customizable solutions for data professionals. Becoming adept at these tools not only reduces dependency on proprietary software but also fosters community engagement. - Source: dev.to / 5 months ago
Seamless integration of AML and KYC solutions with existing systems is critical for effective automation. Use middleware platforms like MuleSoft (commercial) or Apache Camel (open source) to facilitate data exchange or deeper integrations between many disparate systems. Integration testing to ensure faithful and ongoing interoperability between both proprietary and 3rd-party systems should be rigorous and will... - Source: dev.to / 10 months ago
"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 / over 1 year ago
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 2 years ago
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 2 years ago
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 2 years ago
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