faust
debezium
faust | debezium | |
---|---|---|
11 | 80 | |
1,454 | 9,884 | |
2.1% | 1.1% | |
7.9 | 9.9 | |
about 1 month ago | 7 days ago | |
Python | Java | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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.
faust
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faust VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
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New release of FastKafka supporting Redpanda
We have many similar ideas and paradigms, as one would expect from modern frameworks tackling the same problem. However, Faust has been deprecated and no longer managed or supported (there is a fork being maintained by the community at https://github.com/faust-streaming/faust). I guess Robinhood at some point decided not to spend any more resources on it, an often destiny of such side projects by large corporations. On the other hand, we hope to stay around for a long time and build to a framework and a community that loves it. This initial version was built using many libraries in order to have a working system and to gather feedback from the large community. We plan to replace eventually all, or at least most of dependancies, and replace then with Rust lib with Python bindings.
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Kafka ETL tool, is there any?
Just wanted to add that there is an actively maintained fork called faust-streaming, you can find it here: https://github.com/faust-streaming/faust
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Apache Kafka Beyond the Basics: Windowing
That's the basics yes. You have a pletora of things coming next. One is "Windowing" mentioned in the article, it's well explained and maybe it looks simple, but when you start with it, takes some time to wrap your mind around it.
The other things in kafka world are stateful transformations, which you would normally do using Java's Flink. The closest in python is Faust (the fork) [0]. What are stateful aggregations? something like doing SQL on top of a topic: group_by, count, reduce, and joins. So similar to SQL that you have kSQL [1].
Consumer groups IMO falls under basic usage, if you need to scale, take a look at it, and what are partitions and replicas, with that in mind, you'll be ok.
[0]: https://github.com/faust-streaming/faust
[1]: https://www.confluent.io/blog/ksql-streaming-sql-for-apache-...
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How to join using Faust Streaming (Python implementation of Kafka Streams API)?
The forked one, https://github.com/faust-streaming/faust, has been updated but still doesn’t seem to support joins.
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Real Time Data Infra Stack
Faust: Python framework
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Kafka to HTTP POST requests
I’d like to use Python for this so I came across Faust but I’m not sure if it’s possible to create HTTP requests through Faust or if there are better alternatives.
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Using Kafka with Python... is Confluent the only option?
There is a community fork which was stale for a while but got a new commit a couple days ago, this one might be usable, but is still quite risky (70 open issues etc.): https://github.com/faust-streaming/faust
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Why did Robinhood abandon Faust?
There is a community which forked and actively develops faust, here’s the https://github.com/faust-streaming/faust
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Project with Faust and Django
Hi, thanks for the answer, I'm actually using virtualenv with the requirements of the file associated with the example. However I wanted to tell you that due to covid the project is suspended but only temporarily, but there is an active fork https://github.com/faust-streaming/faust. But the example in the fork doesn't work either.
debezium
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Choosing Between a Streaming Database and a Stream Processing Framework in Python
They manage data in the application layer and your original data stays where it is. This way data consistency is no longer an issue as it was with streaming databases. You can use Change Data Capture (CDC) services like Debezium by directly connecting to your primary database, doing computational work, and saving the result back or sending real-time data to output streams.
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Generating Avro Schemas from Go types
Both of these articles mention a key player, Debezium. In fact, Debezium has had a place in the modern infrastructure. Let's use a diagram to understand why.
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debezium VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
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How the heck do I validate records with this kind of data??
This might be overkill, but you could use an extra tool like https://debezium.io to capture logs about all creates, updates, and deletes in your table
- All the ways to capture changes in Postgres
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Managed Relational Databases with AWS RDS and Aurora
If you're considering a relational database for an event-driven architecture, check out Debezium. It lets you stream changes to relational databases, and subscribe to change events.
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Real-time Data Processing Pipeline With MongoDB, Kafka, Debezium And RisingWave
Debezium
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Postgresql to hadoop in real time
https://debezium.io/ comes to mind as an open source product, but there are a gazillion of these tools out there.
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ClickHouse Advanced Tutorial: Apply CDC from MySQL to ClickHouse
Contrary to what it sounds, it’s quite straightforward. The database changes are captured via Debezium and published as events on Apache Kafka. ClickHouse consumes those changes in partial order by Kafka Engine. Real-time and eventually consistent.
- Debezium: Stream Changes from Your Database
What are some alternatives?
Memgraph - Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
maxwell - Maxwell's daemon, a mysql-to-json kafka producer
redis-om-python - Object mapping, and more, for Redis and Python
kafka-connect-bigquery - A Kafka Connect BigQuery sink connector
aioredis - asyncio (PEP 3156) Redis support
realtime - Broadcast, Presence, and Postgres Changes via WebSockets
arq - Fast job queuing and RPC in python with asyncio and redis.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Faust - Python Stream Processing
hudi - Upserts, Deletes And Incremental Processing on Big Data.
aiokafka - asyncio client for kafka
RocksDB - A library that provides an embeddable, persistent key-value store for fast storage.