Life & fun · alternatives · 2026
24 alternatives to Real Time Stream Processing Startup
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
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Real Time Stream Processing Startup launched in 2020; newer entries below may have overtaken it.
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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 →
- 2RT
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 →
- 3LV
2016 · alooma.com · its alternatives →
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A Python stream processing engine modeled after Yahoo! Pipes - nerevu/riko
2016 · github.com · its alternatives →
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Estuary Flow▲225Connect your data, where you want it, in milliseconds
2023 · estuary.dev · 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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A flink alternative powered by DuckDB
2025 · turbolytics.io · its alternatives →
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A self contained OBS -> FTL -> WebRTC live streaming server. Comprised of 3 parts once configured anyone can achieve sub-second OBS to the browser livestreaming - GRVYDEV/Project-Lightspeed
2021 · github.com · its alternatives →
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Stream 2.0▲303API for building, scaling and personalizing feeds
2016 · getstream.io · 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 →
- 13BR
2015 · blog.memsql.com · its alternatives →
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Build real-time apps without maintaining the infrastructure
2017 · its alternatives →
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Hey all! We’ve built a Pandas-like interface to make it easy to work with streaming data using what we call ‘Streaming DataFrames’. For example, suppose that you want to convert speed measurement units from meters per second to kilometers per hour With static data in Pandas, you’d do this: df["speed_km_h"] = df["speed_m_s"] * 3.6 With Streaming DataFrames, it’s pretty much the same thing… sdf["speed_km_h"] = sdf["speed_m_s"] * 3.6 …except it’s being done continuously and the updated records can be sent to an output topic in Kafka with almost no delay after they’ve been processed. You can…
2024 · github.com · its alternatives →
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API.stream▲122API to build cloud-native live streaming production tools
2022 · api.stream · its alternatives →
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Hey HN, Arroyo is a modern, open-source stream processing engine, that lets anyone write complex queries on event streams just by writing SQL—windowing, aggregating, and joining events with sub-second latency. Today data processing typically happens in batch data warehouses like BigQuery and Snowflake despite the fact that most of the data is coming in as streams. Data teams have to build complex orchestration systems to handle late-arriving data and job failures while trying to minimize latency. Stream processing offers an alternative approach, where the query is compiled into a streaming…
2023 · 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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No-code platform to monitor and visualize IoT real-time data
2021 · cedalo.com · its alternatives →
- 21

Hey HN, I'm really proud to share with you my new open source project: Kestra https://github.com/kestra-io/kestra I created a few years ago a successful open source AKHQ project: https://github.com/tchiotludo/akhq (renamed from KafkaHQ) which has been adopted by big companies like Best Buy, Pipedrive, BMW, Decathlon and many more. 2300 stars, 120 contributors, 10M docker downloads, much more than I expected. Now let's talk about Kestra, an infinitely scalable orchestration and scheduling platform for creating, running, scheduling and monitoring…
2022 · github.com · its alternatives →
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Also compare
- DuckDB for Kafka Stream Processing alternatives
- Real Time Analytics SaaS alternatives
- Live visualization of Kafka streams alternatives
- Riko – A Python stream processing engine modeled after Yahoo! Pipes alternatives
- Estuary Flow alternatives
- GlassFlow – OSS streaming dedup and joins from Kafka to ClickHouse alternatives
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 →