Conduit is a data integration tool for software engineers. It's an extensible, event-first streaming data tool. It's written in Go, ships with minimal dependencies, and deploys as a binary.
@derekneuland Feel free to check out the website and feel free to drop us a message about what you think about Conduit and what you'd like to see in it.: ) We're on GitHub, Discord and Twitter.
Marketing teams and data engineers need data to answer questions; software engineers need data to build features. This difference is why you'll find that tools like Segment don't have connections for tools like ElasticSearch (Search Engine) or Redis (Cache).
A business may use the modern data stack to ask better questions about what's happening in their business, applications, etc. and this is a great use case. However, Conduit aims to solve a slightly different data problem for a separate data audience: software engineers.
Writing software is becoming more data-centric every day. Every day, more and more software engineers are acquiring new data infrastructure— a new system that generates or stores data. These data-intensive applications are complex and made up of many systems like:
multiple microservices
caches
databases
event brokers
data warehouse
search engines
log aggregation systems
CRM
analytics platforms
… and third-party tools.
We want to help make data integration between them more manageable.
We'd love to know what you think.
@toby We can also say an "all-developers approach" too, since Conduit is talking to plugins via gRPC, so you can actually write a plugin in any language. We have some of that work in progress.
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