Alternatives
Products that do what Streambased does
Analytics service for Kafka
- 1GD
2017 · github.com
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- 4LV
2016 · alooma.com
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- 6UF
2021 · github.com
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- 9KA
2020 · github.com
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- 14SA
2018 · statsbotco.github.io
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- 16RT
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
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- 18RT
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
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- 20BS
2018 · github.com
- 21DR
We’ve built SQLRooms, an open-source framework for creating single-node data analytics apps powered by DuckDB. It lets you build fully client-side, data-centric apps using React and DuckDB running in the browser (via WebAssembly) or in Electron. No server or backend is required — apps can work offline, preserve data privacy, and run queries on large datasets with sub-second performance. Features: - Query large datasets in browser with DuckDB (WASM) - Modular design for building composable data UIs (query editors, dashboards, notebooks, etc.) - Data privacy-preserving AI assistant that can…
2025 · sqlrooms.org
- 22KS
2020 · github.com
- 23AI
Hi HN, We are launching Denormalized (www.denormalized.io), a serverless real-time data platform built on Kafka and Pinot. We felt a bit burnt out by the sheer developer toil we faced when building application around the real-time data stack and set out to create a platform to allow small teams to be very productive with realtime data without having to glue together an elaborate system to serve real-time as well as time series queries. Here is our motivating post. Would appreciate any and all feedback.
2023 · teamdenormalized.substack.com
- 24A1
AutoMQ is a fully open-source, next-generation Kafka built on top of S3. Version 1.5.0 is a very important release. In March of this year, Confluent officially launched the commercial capability of Tableflow. Now, with the AutoMQ open-source software, you can also experience this killer feature. Simply put, for Kafka streaming data, AutoMQ can automatically store it in S3 in Iceberg Table format, so you no longer need to manage Flink Jobs and Spark Jobs yourself to perform ETL operations and convert Kafka data into table format. We believe this will be the new paradigm for Kafka stream data…
2025 · github.com
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