Products

SQLFlow

Build stream processing pipelines with nothing but SQL.

sql-flow.com Source★ 524MITData & Analytics / Data Integration & Warehousing

AI Benchmark
Desktop
Mobile
Monthly visits
<5K
Sep 2026
Public revenue
Undisclosed
No public revenue evidence yet
Entry price
Free
No monthly subscription pricing
Creators
Danny Mican
GitHub @turbolytics+1 more creators
Launched
22mo ago
2025-01-31 · Est.

Traffic

Monthly visitsData through Sep 2026 · Oct 2026 pending
Events1 marketing move

Marketing moves

Launches, search & content, referrals, promotions
  • Launched on Show HN (77 pts · 13 comments)Launch

    DuckDB for Kafka Stream Processing — Hello Everyone! We built SQLFlow as a lightweight stream processing engine. We leverage DuckDB as the stream processing engine, which give…

    Dec 8, 2025 · 11mo agoLaunch page

  • Launched on Show HN (2 pts)Launch

    Stream Kafka into Ducklake — Ducklake is a new lake storage format by MotherDuck. It aims to solve some of the issues with Iceberg by centralizing metadata in Postgres…

    Jul 14, 2025 · 16mo agoLaunch page

  • Launched on Product HuntLaunch

    A flink alternative powered by DuckDB

    Feb 2, 2025 · 22mo agoLaunch page

  • Launched on Show HN (2 pts)Launch

    Sink 5000 rows/SEC from Kafka –> Postgres using Python and 250MiB Mem — Hello! I've been working on building a flink alternative using DuckDB. Building off of DuckDB makes it easy to leverage all the integratio…

    Jan 31, 2025 · 22mo agoLaunch page

Third-party reviews & case dossiers

Acquisition breakdowns, engineer reviews & open-source metrics
Show HN
2025-01-31Source
Post excerpt:
Hello! I've been working on building a flink alternative using DuckDB. Building off of DuckDB makes it easy to leverage all the integrations DuckDB supports. Using batching it's trivial to insert 5000 rows / second into a small postgres instance running locally in docker! Would love your thoughts and feedback, thank you! What do your data stacks look like fo
Show HN
2025-07-14Source
Post excerpt:
Ducklake is a new lake storage format by MotherDuck. It aims to solve some of the issues with Iceberg by centralizing metadata in Postgres, instead of directly on blob storage. SQLFlow is a stream processing engine that ingests data from kafka, runs sql against that stream and sinks the output. SQLFlow has a duckdb context available during stream processing.
Show HN
2025-12-08Source
Post excerpt:
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.c

Open Source & Self-Hosting

GitHub · MCP / Skill
Last commit 2026-10-31
GitHub Stars
★ 524
Forks
12
License
MIT
Primary language
Go

Traffic sources

Sep 2026

Traffic breakdown

Channels

  • Direct41%
  • Organic Search32%
  • Referrals12%
  • Social8%
  • Other7%

Countries

  • Thailand100%

Search

Domain authority —Domain registered 2025-01-29

KeywordMonthly volume
sql flow220
sqlflow70

Traffic data: Vaneform

Pricing

Website does not list public plan prices.

Trial: None · Observed 2026-11-04 · Source page

Pages & changes

Tracked since 2025-02-02

Key pages

Weekly snapshots

Changes

No pricing, plan, or positioning changes detected since tracking started.

Questions & evidence

How much website traffic does SQLFlow get?
Vaneform estimates <5K website visits in 2026-09. Visits can include repeat visits; this estimate measures web traffic separately from paying customers or revenue.Source
What is SQLFlow and what platforms does it support?
SQLFlow is catalogued under Data Integration & Warehousing: Build stream processing pipelines with nothing but SQL.. Supported platforms: Web.
Is SQLFlow open source?
SQLFlow has a public repository (https://github.com/turbolytics/sql-flow) under the MIT license, recording 524 GitHub stars, and supporting self-hosted deployment.Source

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