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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.

  1. 1

    Analytics service for Kafka

    2024 · streambased.io · its alternatives →

  2. 2

    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. 3

    Goka is a compact yet powerful distributed stream processing library for Apache Kafka written in Go. - lovoo/goka

    2017 · github.com · its alternatives →

  4. 4

    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 →

  5. 5
    Trench▲281

    Open source analytics infrastructure

    2024 · trench.dev · its alternatives →

  6. 6

    High-performance Redis library for Go. Contribute to coder/redjet development by creating an account on GitHub.

    2023 · github.com · its alternatives →

  7. 7

    Optimal Quantile Approximation in Streams. Contribute to axiomhq/quantiles development by creating an account on GitHub.

    2018 · github.com · its alternatives →

  8. 8

    Connect your data, where you want it, in milliseconds

    2023 · estuary.dev · its alternatives →

  9. 9

    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 →

  10. 10
    TABLUM.IO▲159

    Turn CSV, XML & JSON into a live analysis-ready SQL database

    2023 · tablum.io · its alternatives →

  11. 11

    Describe the dataset you need in plain English. Data Factory drafts the schema, keeps your correlations and generates up to a million rows. 1,000 free.

    Oct 2025 · gomask.ai · its alternatives →

  12. 12

    A grid library for instant big data processing

    2022 · datatable.dev · its alternatives →

  13. 13

    All your analytics in a Redshift or Postgres DW in minutes

    2015 · twilio.com · its alternatives →

  14. 14

    A single DataOps platform for data engineering

    2021 · ibm.com · its alternatives →

  15. 15

    User event data routing for analytics

    2017 · astronomer.io · its alternatives →

  16. 16

    An example of using Redis Streams, RedisGears, RedisAI and RedisTimeSeries for Realtime Video Analytics (i.e. counting people) - RedisGears/EdgeRealtimeVideoAnalytics

    2019 · github.com · its alternatives →

  17. 17

    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 →

  18. 18

    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 →

  19. 19

    Open source APM: OpenTelemetry traces, metrics, and logs - uptrace/uptrace

    2021 · github.com · its alternatives →

  20. 20

    ClickHouse is a free analytic DBMS for big data.

    2016 · clickhouse.com · its alternatives →

  21. 21

    Realtime analytics database

    2014 · its alternatives →

  22. 22

    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…

    Aug 2026 · wavehouse.dev · its alternatives →

  23. 23

    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 →

  24. 24AG

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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 →