conduit
dozer
conduit | dozer | |
---|---|---|
7 | 20 | |
345 | 1,450 | |
3.2% | 2.1% | |
9.5 | 9.7 | |
8 days ago | 14 days ago | |
Go | Rust | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
conduit
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Pulling CDC data from Postgres
I'd like to mention Conduit + its Postgres connector. The Pg connector comes built-in, so all that is needed is a single Conduit binary to get started. It relies on WAL, but the connector creates the replication slot itself (if needed).
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How to connect already setup kafka cluster to mongodb?
GitHub - ConduitIO/Conduit: Data Integration for Production Data Stores. Conduit is meant to be a bit more general-purpose than Kafka Connect and is an easy drop-in replacement. We're working hard to make that even easier. We are still in the early stages of this project and are trying to build more and more connectors. You can find out more about our connector roadmap on the Github repo. Our connector philosophy is to be real-time first, and double down on change data capture (CDC) capabilities, all with permissive licensing.
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What services you guys used for CDC (Change Data capture) for Sql as well as no sql databases ?
If you're looking for a tool with a UI and in which you can also easily extend the functionality with your own, custom data connectors, you might also want take a look at Conduit which is another open-source tool we've developed to make building and running real-time data infrastructure more straightforward and less time consuming.
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Alternative Kafka Integration Framework to Kafka Connect?
You might want to check out: https://github.com/conduitio/conduit
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Where is the modern data stack for software engineers?
This is why we are working on a project called Conduit at Meroxa. We hope to change the experience software engineers have with data.
- Conduit: Data Integration for Production Data Stores
- Conduit: Data Integration Tool for Production Data Stores written in Go
dozer
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Show HN: Find simple open source bounties to solve and get paid
https://github.com/getdozer/dozer/issues/1631#issuecomment-1...
and then something has gone off the rails about the accounting process since
Trigger.dev
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Who owns and manage product documentation in your OSS / dev tool startup?
Hi HN,
I'm Matteo and co-founder of Dozer (https://github.com/getdozer/dozer), a backend tool for building data products. Over the past few months we have done good progress with the product development but our documentation needs a lot of work. Myself, my co-founder and the entire team are juggling among many activities, and one of them is producing good documentation, and that is the part where we are bit struggling.
We have tried to hire a couple of tech writers but it's really not working out as we wanted. Our product is a dev product, and it is very hard to find tech writers who have that depth to think what a developer need. At the same time, asking the dev team to write documentation produces low quality docs (obviously devs prefer to write code and they just to go back to that as fast they can).
The result is that I end up writing most of documentation or refactoring the entire content produced by tech writer. But this approach will not scale.
How do you guys solved it? I'm curios to know about the approach of other startups.
Thanks
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Creating a Low-Latency Cache with Dozer and PostgreSQL
This blog post explores how to enhance these aspects by implementing a low-latency cache using Dozer and PostgreSQL. We delve into the importance of caching in data management, the limitations of not having a cache, and the unique advantages of using Dozer as a cache layer. We also provide a guide on how to use Dozer for real-time data ingestion from PostgreSQL. This post is a must-read for developers seeking to improve their application's performance and responsiveness, and for those looking to simplify their data infrastructure.
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Building a Fast, Low-Latency Cache with Dozer and PostgreSQL
I recently penned a blog post on an interesting topic - leveraging Dozer with PostgreSQL to create a high-speed, low-latency cache. In case you're not familiar with Dozer, it's an open-source data API backend built entirely in Rust, known for its fast processing and lower resource usage.
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A video introduction to Dozer
some time ago I shared about our OSS project Dozer with the group. We just did a presentation and demo at the Python Meetup group here in Singapore and just wanted to share the full video here.
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Unified data view across Microservices: Temporal and Dozer?
Hey HN,
As one of the co-founders of Dozer (https://github.com/getdozer/dozer), I stumbled upon this awesome article from the Temporal folks (https://temporal.io/blog/saga-pattern-made-easy) and got super excited about the potential synergy between Dozer and Temporal.
While Temporal nails the orchestration of microservices, I couldn't help but notice the challenge of consolidating data across services. In the article, they talk about three services: flight booking, hotel booking, and experience booking. But imagine trying to create a complete trip view by stitching together data from all three services - it can be quite a headache!
And that's where Dozer swoops in to save the day. With Dozer, I can tap into all the change data capture (CDC) events from each microservice, merge the data in real-time, stash it in a cache, and make it available through APIs. The best part? Since Dozer operates in real-time, my cached data is always fresh. Boom! Now I can simply leverage Dozer's APIs to access a comprehensive trip view.
Raise your hand if you've faced this challenge before! Let's hear your thoughts.
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Announcing the Dozer Appathon!
๐๐ผ Are you looking for a platform that simplifies the process of building and deploying data-driven applications? Look no further than Dozer! ๐ป is a powerful Data API backend that simplifies the process of building and deploying data-driven applications & APIs for real-time data processing and analysis, predictive analytics, data caching, and much more. Dozer is a 100% open-source project.
Star our repository and get a chance to win an amazing Swagpack!!๐๐ We will announce the winners in our Discord server. So, donโt forget to join.๐ค
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Pulling CDC data from Postgres
You can consider using Dozer (https://github.com/getdozer/dozer), an open-source data API backend. Dozer has a PostgreSQL connector that you can use to monitor any changes in your database schema and data. Although Dozer is not specifically designed for ETL tasks, you can still use it for this purpose by using Lambda functions. Dozer provides a Lambda runtime to execute user-defined functions. So you can use PostgreSQL connector ( to capture CDC) with Lambda runtime to load data to snowflake.
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Building a Real-time Data App with Dozer, React, and PostgreSQL
Enter Dozer, it simplifies the process of creating low-latency data APIs (gRPC and REST) from any data source easily with OpenAPI specification. Dozer is a real-time data engineering tool built with Rust, which enables seamless integration of data streams(sources), efficient data processing, and lightning-fast response times. This allows developers to focus on building applications without worrying about the complexity of managing real-time data.
What are some alternatives?
turbine-go - Turbine Library for Go
dozer-samples - Sample applications using Dozer
sqlpipe - SQLpipe makes it easy to move the result of one query from one database to another.
wick - Functional, reactive WebAssembly with a twist
bytewax - Python Stream Processing
conduit-connector-postgres - Conduit connector for PostgreSQL
Benthos - Fancy stream processing made operationally mundane
dozer-react
deprecated-core - ๐ฎ Instill Core contains components for supporting Instill VDP and Instill Model
kaskada - Modern, open-source event-processing
trigger.dev-docs