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Bytewax Alternatives
Similar projects and alternatives to bytewax
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materialize
Real-time Data Integration and Transformation: use SQL to transform, deliver, and act on fast-changing data. (by MaterializeInc)
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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debezium
Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.
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quix-streams
A Python library for building containerized ML and Generative AI applications with Apache Kafka.
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finagg
A Python package for aggregating and normalizing historical data from popular and free financial APIs.
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conduit
Conduit streams data between data stores. Kafka Connect replacement. No JVM required. (by ConduitIO)
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Visio
Discontinued Visio is an AI-powered IDE concept that turns software development into a visual, code-free experience, making programming accessible to everyone. [GET https://api.github.com/repos/DRUMNICORN/Visio: 404 - Not Found // See: https://docs.github.com/rest/repos/repos#get-a-repository]
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datagen
Generate authentic looking mock data based on a SQL, JSON or Avro schema and produce to Kafka in JSON or Avro format.
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console
Redpanda Console is a developer-friendly UI for managing your Kafka/Redpanda workloads. Console gives you a simple, interactive approach for gaining visibility into your topics, masking data, managing consumer groups, and exploring real-time data with time-travel debugging. (by redpanda-data)
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buildflow
BuildFlow, is an open source framework for building large scale systems using Python. All you need to do is describe where your input is coming from and where your output should be written, and BuildFlow handles the rest. No configuration outside of the code is required.
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Tornado
Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
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django-test-migrations
Test django schema and data migrations, including migrations' order and best practices.
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bytewax discussion
bytewax reviews and mentions
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Roast my new Python library for stream processing
Interesting! How do you see this comparing with Bytewax - https://github.com/bytewax/bytewax
- Show HN: Bytewax, JVM free stream processing Py+Rust
- Building a streaming SQL engine with Arrow and DataFusion
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Near Real Time Ingestion to DB using Python
You can probably use Python to solve your problem, there are many ways you can speed up your deserialization/flattening. I work on Bytewax (https://github.com/bytewax/bytewax) and I wouldn't mention it if it wasn't a good fit, but I think it's worth looking at here. It is a stream processor that makes it easy to scale, maintain order, track progress, and you just write native Python.
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Stream processing framework for a new project in Python
Disclaimer: I work on Bytewax, but it feels like this could be a good fit and would save you some time looking around. If you need to do stateful operations (reduce, window, etc.) then you can use bytewax - https://github.com/bytewax/bytewax with pub/sub, but you would need to build a custom connector. There are some guides on how to do that - https://www.bytewax.io/blog/custom-input-connector.
- What are your favorite tools or components in the Kafka ecosystem?
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A Python package for streaming synthetic data
This is great, definitely see the utility here. I have had to hack this together so many times while building streaming workflows with github.com/bytewax/bytewax and other tools.
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Snowflake - what are the streaming capabilities it provides?
When low latency matters you should always consider an ETL approach rather than ELT, e.g. collect data in Kafka and process using Kafka Streams/Flink in Java or Quix Streams/Bytewax in Python, then sink it to Snowflake where you can handle non-critical workloads (as is the case for 99% of BI/analytics). This way you can choose the right path for your data depending on how quickly it needs to be served.
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Sunday Daily Thread: What's everyone working on this week?
Working on how to use https://github.com/bytewax/bytewax to create embeddings in real-time for ML use cases. I want to make a small library for embedding pipelines, but still learning about vector dbs and the tradeoffs between the different solutions.
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Arroyo: A distributed stream processing engine written in Rust
Project looks cool! Glad you open sourced it. It could use some comments in the code base to help contributors ;). I also like the datafusion usage, that is awesome. BTW I work on github.com/bytewax/bytewax, which is based on https://github.com/TimelyDataflow/timely-dataflow another Rust dataflow computation engine.
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Stats
bytewax/bytewax is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of bytewax is Python.