Dev tools · alternatives · 2026
24 alternatives to Superstream
Kafka optimization. automatically. continuously.
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Diskless Kafka® on S3. 10x Cost-Effective. No Cross-AZ Traffic Cost. Autoscale in seconds. Single-digit ms latency. Multi-AZ Availability. - AutoMQ/automq
2024 · github.com · its alternatives →
- 2LV
2016 · alooma.com · its alternatives →
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Hello Everyone! We built SQLFlow as a lightweight stream processing engine. We leverage DuckDB as the stream processing engine, which gives SQLFlow the ability to process 10's of thousands of messages a second using ~250MiB of memory! DuckDB also supports a rich ecosystem of sinks and connectors! https://sql-flow.com/docs/category/tutorials/ https://github.com/turbolytics/sql-flow We were tired of running JVM's for simple stream processing, and also of bespoke one off stream processors I would love your feedback, criticisms and/or…
Dec 2025 · sql-flow.com · its alternatives →
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Goka is a compact yet powerful distributed stream processing library for Apache Kafka written in Go. - lovoo/goka
2017 · github.com · its alternatives →
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Distributed Stream and Batch Processing. Contribute to hazelcast/hazelcast-jet development by creating an account on GitHub.
2020 · github.com · its alternatives →
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Kafka 0.8.0 broker implementation on top of Cloudflare Workers - maxwellpeterson/kafka-worker
2022 · github.com · its alternatives →
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Open-Source Web UI for Apache Kafka Management. Contribute to provectus/kafka-ui development by creating an account on GitHub.
2021 · github.com · its alternatives →
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AutoMQ Kafka▲13Serverless Kafka solution that is more scalable and cheaper
2024 · github.com · its alternatives →
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🦭 Distributed log streaming engine built from first principles - nubskr/walrus
Dec 2025 · github.com · its alternatives →
- 14RT
We have been involved in a number of real time streaming projects using tools such as Flink, Spark Streams and Kafka Streams backed by "real time" databases such as Druid. We always found these projects quite complex to develop and run, with stream processing in particular being a bit of a dark art. A stream to stream join in Flink can get quite mind bending for instance. In 2020 we had the idea of building a low code SaaS product for real time streaming analytics. The first attempt failed due to being a little over-engineered and with too many changes of direction, but over the last few…
2021 · its alternatives →
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Hi HN! We are Ashish and Armend, founders of GlassFlow. We just launched our open-source streaming ETL that deduplicates and joins Kafka streams before ingesting them to ClickHouse https://github.com/glassflow/clickhouse-etl Why we built this: Dedup with batch data is straightforward. You load the data into a temporary table. Then, find only the latest versions of the record through hashes or keys and keep them. After that, move the clean data into your main table. But have you tried this with streaming data? Users of our prev product were running real-time analytics…
2025 · github.com · its alternatives →
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Kafka Socks▲81An easy-to-use, lightweight KafkaJS to Socket.io library
2021 · github.com · its alternatives →
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Hi HN! We’re Yann, Edouard, and Bastien from Koyeb (https://www.koyeb.com/). We’re building a platform to let you deploy full-stack apps on high-performance hardware around the world, with zero configuration. We provide a “global serverless feeling”, without the hassle of re-writing all your apps or managing k8s complexity [1]. We built Scaleway, a cloud service provider where we designed ARM servers and provided them as cloud servers. During our time there, we saw customers struggle with the same issues while trying to deploy full-stack applications and APIs resiliently. As…
2023 · koyeb.com · its alternatives →
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- 21RT
We are working on a product which makes stream processing easy for data analysts and data scientists. It’s a higher level alternative to Flink, Kafka Streams and Spark Streams. As well as making stream processing simpler, we also felt that lots of people were building these AWS stream processing platforms based on Kafka and something like Flink so wanted to offer this as a service. We would welcome any input on the space or approach: Home page: http://Timeflow.systems Demo: https://youtu.be/fGfgBaHXOkE
2020 · its alternatives →
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Hi HN, I built a Java library called SmartFileProcessor to make high-performance, multi-threaded file processing simpler and more maintainable. Most Java file processing solutions either involve a lot of boilerplate or don’t handle concurrency, backpressure, or metrics well out of the box. I needed something fast, clean, and production-friendly — so I built this. Key features: Multi-threaded line/batch processing using a configurable thread pool Producer/consumer model with built-in backpressure Buffered, asynchronous writing with optional auto-flush Live metrics: memory usage,…
2025 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →