AI · alternatives · 2026
24 alternatives to Spice.ai – materialize, accelerate, and query SQL data from any source
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…
Spice.ai is an open-source runtime built in Rust that pulls data from databases, data warehouses, and data lakes into a local environment for fast SQL querying. It uses Apache DataFusion to materialize and accelerate… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Spice.ai – materialize, accelerate, and query SQL data from any source launched in 2024; newer entries below may have overtaken it.
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Spice.ai▲63Hi HN, we’re Luke and Phillip, and we’re building Spice.ai OSS - a lightweight, portable data and AI engine and powered by Apache DataFusion & Ballista for SQL query, hybrid-search, and LLM-inference across disaggregated-storage used by enterprises like Barracuda Networks and Twilio. With v2.0, you can add a real-time analytics node to your operational database with high-throughput native CDC replication. We first introduced Spice [1] on HN in 2021 and re-launched it on HN [2] in 2024 re-built from the ground up in Rust. In 2025 we launched Spice Cayenne [5], our acceleration and query…
2023 · spice.ai · its alternatives →
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2025 · spiceai.org · its alternatives →
- 3SA
2021 · blog.spiceai.org · its alternatives →
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A portable data query and LLM-inference engine built in Rust
2025 · github.com · its alternatives →
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- 6SA
2023 · blog.spice.ai · its alternatives →
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Pylar▲502Hey HN! We're Hoshang & Vishal, the team behind Pylar - a governed access layer between databases and LLMs. We previously led data and AI and we kept seeing the same problem across teams using LLMs internally: agents are great with unstructured data, but the moment you want them touching your actual systems of record — Snowflake, Postgres, CRMs, product DBs — everything becomes fragile, risky, or outright unsafe. Two issues show up every single time: 1. Agents over-querying They don’t understand cost. They’ll happily generate queries that blow up your warehouse bill. 2. Accidental data…
Dec 2025 · pylar.ai · its alternatives →
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The fastest way to build your data warehouse
2023 · weld.app · 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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Hi HN community. We are excited to open source Dataherald’s natural-language-to-SQL engine today (https://github.com/Dataherald/dataherald). This engine allows you to set up an API from your structured database that can answer questions in plain English. GPT-4 class LLMs have gotten remarkably good at writing SQL. However, out-of-the-box LLMs and existing frameworks would not work with our own structured data at a necessary quality level. For example, given the question “what was the average rent in Los Angeles in May 2023?” a reasonable human would either assume the…
2023 · github.com · its alternatives →
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- 14SA
2022 · shalerb.org · its alternatives →
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The fastest, most precise no-code AI in the world.
2020 · obviously.ai · its alternatives →
- 17OO
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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Hey HN! We’re Jorge and Will from Lotas (https://www.lotas.ai/), and we’ve built Erdos, a secure AI-powered data science IDE that’s fully open source (https://www.lotas.ai/erdos). A few months ago, we shared Rao, an AI coding assistant for RStudio (https://news.ycombinator.com/item?id=44638510). We built Rao to bring the Cursor-like experience to RStudio users. Now we want to take the next step and deliver a tool for the entire data science community that handles Python, R, SQL, and Julia workflows. Erdos is a fork of VS Code designed for data…
Oct 2025 · lotas.ai · its alternatives →
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Draxlr AI▲106The fastest way to turn SQL into insights with AI
2024 · draxlr.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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Production infrastructure for machine learning at scale - GitHub - cortexlabs/cortex at v0.15.1
2020 · 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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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 →