Dev tools · alternatives · 2026
24 alternatives to Arroyo – Write SQL on streaming data
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…
Arroyo is an open-source stream processing engine that lets data teams write SQL queries on event streams to perform windowing, aggregating, and joining with sub-second latency. It compiles queries into streaming… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. Arroyo – Write SQL on streaming data launched in 2023; 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 →
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Anomalofree tier▲302Your data is always talking. Don't miss what it's saying.
Sep 2026 · anomalo.com · its alternatives →
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hi hn, hydra ceo here hydra is an open source, column-oriented postgres. you can set up remarkably fast aggregates on your project in minutes to query billions of rows instantly. postgres is great, but aggregates can take minutes to hours to return results on large data sets. long-running analytical queries hog database resources and degrade performance. use hydra to run much faster analytics on postgres without making code changes. data is automatically loaded into columnar format and compressed. connect to hydra with your preferred postgres client (psql, dbeaver, etc). following 4 months…
2023 · hydra-so.notion.site · 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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ålenkå files. Full list of files for ålenkå
2012 · sourceforge.net · its alternatives →
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Recently created a minimal persistent relational database in Go. Main focus was on implementing & understanding working the of database, storage management & transaction handling. Use of B+ Tree for storage engine(support for indexing), managing a Free List (for reusing nodes), Support for transactions, Concurrent Reads. Still have many things to add & fix like query processing being one of the main & fixing some bugs Repo link - https://github.com/Sahilb315/AtomixDB Would love to hear your thoughts
2025 · 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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Mozart Data▲112The easiest way for teams to build a Modern Data Stack
2021 · mozartdata.com · its alternatives →
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We have been using graph DBs more and more at work. I found them painful to work with locally and decided to try and build something better.
Aug 2026 · github.com · its alternatives →
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A general-purpose data analysis engine radically changing the way batch and stream data is processed - asavinov/bistro
2018 · github.com · its alternatives →
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Connect Claude Code to your internal systems w/o credentials
2024 · hoop.dev · its alternatives →
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Hi HN, We're Luke and Phillip, and we're building Spice.ai OSS - a lightweight, portable runtime, built in Rust and powered by Apache DataFusion to locally materialize, accelerate, and query data tables sourced from any database, data warehouse or data lake. Phillip and I first introduced Spice on Show HN in September 2021. Since then, we’ve been schooled and humbled in every way building 100TB+ data and ML systems for the https://spice.ai cloud platform. Along with our customers, we struggled with getting fast, low-latency, high-concurrency SQL query within a budget, accessing and…
2024 · github.com · its alternatives →
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A flink alternative powered by DuckDB
2025 · turbolytics.io · its alternatives →
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A general-purpose data analysis engine radically changing the way batch and stream data is processed - bistro/server at master · asavinov/bistro
2018 · github.com · its alternatives →
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SnapQL is an open-source desktop app (built with Electron) that lets you query your Postgres database using natural language. It’s schema-aware, so you don’t need to copy-paste your schema or write complex SQL by hand. Everything runs locally — your OpenAI API key, your data, and your queries — so it's secure and private. Just connect your DB, describe what you want, and SnapQL writes and runs the SQL for you.
2025 · github.com · its alternatives →
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App to easily query, script, and visualize data from every database, file, and API. - multiprocessio/datastation
2022 · github.com · its alternatives →
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Hi HN, I’m Ignacio, founder at Basekick Labs. Over the past months I’ve been building Arc, a time-series data platform designed to combine very fast ingestion with strong analytical queries. What Arc does? Ingest via a binary MessagePack API (fast path), Compatible with Line Protocol for existing tools (Like InfluxDB, I'm ex Influxer), Store data as Parquet with hourly partitions, Query via DuckDB engine using SQL Why I built it: Many systems force you to trade retention, throughput, or complexity. I wanted something where ingestion performance doesn’t kill your analytics. Performance &…
2025 · github.com · its alternatives →
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Contribute to Z-Gort/Reservoirs-Lab development by creating an account on GitHub.
2024 · github.com · its alternatives →
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Two weeks ago I was on my babymoon in Corfu, Greece. While in transit, I was overseeing a GSoC intern submit an important feature to my array database library, Xarray-SQL. He added `to_dataset()`, which completed the roundtrip between thinking of array data in a tabular model simultaneously as gridded rasters (the premise of the project is that every Nd array can be mapped to 2d, where orthogonal dims of the Nd array are just primary keys of a tabular representation). We discussed in chat, now that this feature existed, what demos could we make that would prove this data model works? With…
Jul 2026 · github.com · its alternatives →
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Distributed "massively parallel" SQL query engine. Contribute to eventql/eventql development by creating an account on GitHub.
2016 · github.com · its alternatives →
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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 →