Dev tools · alternatives · 2026
24 alternatives to streamhouse
a powerful go package for schema-driven data streaming.
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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- 2GO
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 →
- 3
- 4GD
2017 · github.com · its alternatives →
- 5CL
Me with my friend Vitaly Ludvichenko made an experiment to combine ClickHouse server and client to make a self-contained program running a database engine and processing data without a server: https://github.com/ClickHouse/ClickHouse/pull/150 Development continued in the past 6 years, and now clickhouse-local becomes a swiss-army knife for data processing. Say "ffmpeg" for datasets and more. It can resemble textql, octosql, dsq, duckdb, trdsql, q, datafusion-cli, spyql, but has better capabilities and performance. Here is a tutorial:…
2023 · clickhouse.com · its alternatives →
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- 7RA
2023 · github.com · its alternatives →
- 8
- 9IB
Every data pipeline job I had to tackle required quite a few components to set up: - One tool to ingest data - Another one to transform it - If you wanted to run Python, set up an orchestrator - If you need to check the data, a data quality tool Let alone this being hard to set up and taking time, it is also pretty high-maintenance. I had to do a lot of infra work, and while this being billable hours for me I didn’t enjoy the work at all. For some parts of it, there were nice solutions like dbt, but in the end for an end-to-end workflow, it didn’t work. That’s why I decided to build an…
2024 · github.com · its alternatives →
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All your analytics in a Redshift or Postgres DW in minutes
2015 · its alternatives →
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- 13AE
2019 · github.com · its alternatives →
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- 15
Hey HN, I built StreamHouse, an open-source streaming platform that replaces Kafka's broker-managed storage with direct S3 writes. The goal: same semantics, fraction of the cost. How it works: Producers batch and compress records, a stateless server manages partition routing and metadata (SQLite for dev, PostgreSQL for prod), and segments land directly in S3. Consumers read from S3 with a local segment cache. No broker disks to manage, no replication factor to tune — S3 gives you 11 nines of durability out of the box. What's there today: - Producer API with batching, LZ4 compression, and…
Feb 2026 · github.com · its alternatives →
- 16AO
Hey HN, We are excited to announce that we’ve open-sourced AGX, a fast and lightweight data explorer for ClickHouse. It is designed for developers and analysts who want to leverage SQL-native querying in an IDE-like environment. Here’s what makes AGX stand out: - Built on ClickHouse (accessible via embedded chdb or remote instance). - IDE-like user interface: features tabs, a Monaco editor, and a fast keyboard workflow. - Zero setup required: no infrastructure or complex dashboards to manage. - Ideal for exploring live blockchain data, while also flexible enough for general ClickHouse usage…
2025 · github.com · its alternatives →
- 17RI
2016 · restdb.io · its alternatives →
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While building an IoT telemetry solution, we ran into hurdles with Clickhouse. For one, you can't insert quickly AND durably into Clickhouse without setting up something like Kafka, which gets complicated for quick projects wanting to make use of Clickhouse's powerful features. Then, trying to actually query Clickhouse and show data in a UI required a whole backend API to handle auth and permissions. We figured that all these parts together – fast, durable ingest, row-level and column-level security and roles, and realtime streaming – were a lot of scaffolding to have to rebuild for every…
22d ago · wavehouse.dev · its alternatives →
- 20GC
I created cmd-stream-go, a high-performance client-server library based on the Command Pattern, where Commands are first-class citizens. Why build around Commands? As serializable objects, they can be sent over the network and persisted. They also provide a clean way to model distributed transactions through composition, and naturally support features like Undo and Redo. These qualities make them a great fit for implementing consistency patterns like Saga in distributed systems. On the performance side, sending a Command involves minimal overhead — only its type and data need to be…
2025 · github.com · its alternatives →
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- 23RT
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 →
- 24HD
2024 · houseplant.readthedocs.io · its alternatives →
Also compare
- Streambased alternatives
- GlassFlow – OSS streaming dedup and joins from Kafka to ClickHouse alternatives
- Stream 2.0 alternatives
- Goka – distributed stream processing library for Kafka written in Go alternatives
- ClickHouse-local – a small tool for serverless data analytics alternatives
- Trench 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 →