Life & fun · alternatives · 2026
24 alternatives to Bistro – A light-weight column-oriented data processing engine
A general-purpose data analysis engine radically changing the way batch and stream data is processed - asavinov/bistro
Bistro is a lightweight column-oriented data processing engine designed for efficient data analysis. It organizes data by columns rather than rows, which enables faster queries on large datasets. The tool is intended… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Bistro – A light-weight column-oriented data processing engine launched in 2018; newer entries below may have overtaken it.
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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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ålenkå files. Full list of files for ålenkå
2012 · sourceforge.net · its alternatives →
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An extensible, state-of-the-art framework for columnar compression, and the fastest FOSS columnar file format. Formerly at @spiraldb, now an Incubation Stage project at LFAI&Data, part of the Linux Foundation. - vortex-data/vortex
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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Rows▲511Import business data and analyze it using plain language.
2021 · rows.com · 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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We are building Quary (https://quary.dev), an engineer-first BI/analytics product. You can find our repo at https://github.com/quarylabs/quary and our website at https://www.quary.dev/. There’s a demo video here: https://www.youtube.com/watch?v=o3hO65_lkGU As engineers who have worked on data at startups and Amazon, we were frustrated by self-serve BI tools. They seemed dumbed down and they always required us to abandon our local dev tools we know and love (e.g. copilot, git). For us and for everyone we speak to, they end up…
2024 · github.com · its alternatives →
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Start innovating your database productivity with SQLGate - Oracle, SQLServer, PostgreSQL, MySQL, MariaDB, DB2, and Tibero!
2019 · sqlgate.com · its alternatives →
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An easy-to-use BI server built for SQL lovers. Power data analysis in SQL and gain faster business insights. - shzlw/poli
2019 · github.com · its alternatives →
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CamelAI▲194camelAI turns your database into an AI data analyst. Ask questions in plain English, get instant reports with visualizations - no SQL required. Why we built this: - Business teams waste hours waiting for data analysts to build dashboards - Non-technical founders can't get quick insights from their own data - Writing SQL queries is a barrier to data-driven decisions What makes it different: - Uses DuckDB to query terabytes in seconds (built-in, no setup needed) - Supports advanced analytics (cohort analysis, statistical computations) not just basic SQL - Multi-turn conversations: AI explores…
2025 · camelai.com · its alternatives →
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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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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…
2023 · github.com · its alternatives →
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Analyzing and visualizing data from CSV files
2025 · claude.com · its alternatives →
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node-based editor for exploring, analyzing and transforming data without code
2021 · datablocks.pro · its alternatives →
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I created a web page to compare different analytical databases (both self-managed and services, open-source and proprietary) on a realistic dataset. It contains 20+ databases, each with installation and data loading scripts. And they can be compared to each other on a set of 43 queries, by data load time or by storage size. There are switches to select different types of databases for comparison - for example, only MySQL compatible or PostgreSQL compatible. If you play with the switches, many interesting details will be uncovered. Full description:…
2022 · benchmark.clickhouse.com · its alternatives →
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Hi! One of the creators here. Very proud to finally be able to show you what we've been working on for over a year now. Curious to hear your thoughts! Objectiv is open-source (APLv2) product analytics infrastructure. It's built around a generic but strict event taxonomy, open/common data- and infra tools (currently PG, snowplow, working on bigquery with more to come), and the analyses are done using our pandas-like, SQL speaking modeling library called Bach. As a result, we’re moving towards a vision wherein models can be shared openly, independent of product, platform[1] or data…
2022 · objectiv.io · its alternatives →
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Hi! I've been a member of HN for fifteen years so today I'm very excited to share Plato. Plato is an Airtable-like interface for your Postgres or MySQL database. It's an admin panel for devs and non-devs alike to manage your DB. We see teams use Plato for customer support, customer success, ops, etc.. We built Plato because we think more people should be able to build and extend internal tools. We thought it was strange that even though low-code is supposed to democratize development, all of the low-code internal tool builders are marketed to engineers! Airtable is a familiar UI that fits…
2023 · plato.io · 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 →