nowfound

AI · alternatives · 2026

24 alternatives to LakeSail

Sail by LakeSail: Big Data Processing for the AI Era

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. LakeSail launched in 2024; newer entries below may have overtaken it.

  1. 1

    Hi HN, I built a specialized inference engine for running 4-bit Gemma 4 26B-A4B-IT on any M-series Mac using about 2 GB of RAM. It is called TurboFieldfare and is written in Swift and Metal. I have always adored on-device AI. It feels like magic that you can run a powerful NN on your Mac or iPhone. So I wanted to push the limits a bit and run a model whose weights don’t fit in memory. The model’s 4-bit quantized weights occupy roughly 14 GB, which makes running it with conventional inference tools almost impossible on an 8 GB or even 16 GB Mac once the OS, applications, and KV cache are…

    Jul 2026 · github.com · its alternatives →

  2. 2
    Mage▲595

    The fastest way to build and use AI

    2022 · mage.ai · its alternatives →

  3. 3

    We wrote our inference engine on Rust, it is faster than llama cpp in all of the use cases. Your feedback is very welcomed. Written from scratch with idea that you can add support of any kernel and platform.

    2025 · github.com · its alternatives →

  4. 4
    Daytona ▲453

    Secure and elastic infra for running your AI-generated code.

    2025 · daytona.io · its alternatives →

  5. 5

    Massive local model speedup on Apple Silicon with MLX

    Apr 2026 · ollama.com · its alternatives →

  6. 6
    refinery▲113

    Treating training data as if it was source code

    2022 · accompio.com · its alternatives →

  7. 7

    SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust. - SeekStorm/SeekStorm

    2024 · github.com · its alternatives →

  8. 8

    Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference. - kossisoroyce/timber

    Mar 2026 · github.com · its alternatives →

  9. 9

    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 →

  10. 10SA
  11. 11

    Iterate on cloud apps in milliseconds, not minutes

    2024 · winglang.io · its alternatives →

  12. 12

    Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…

    2025 · github.com · its alternatives →

  13. 13
  14. 14
    UnionML▲77

    The easiest way to build and deploy ML microservices

    2022 · union.ai · its alternatives →

  15. 15

    Maritime hiring platform connecting talents

    2024 · its alternatives →

  16. 16AD

    Aqueduct: A cohesive server-side framework for Dart, including controllers, routing, OAuth 2.0, ORM, database migrations and CLI.

    2017 · aqueduct.io · its alternatives →

  17. 17
    HelixDB▲105

    An open-source OLTP graph-vector database built in Rust.

    Feb 2026 · helix-db.com · its alternatives →

  18. 18

    Hi 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 →

  19. 19

    Open source security data lake for threat hunting, detection & response, and cybersecurity analytics at petabyte scale on AWS - matanolabs/matano

    2022 · github.com · its alternatives →

  20. 20

    An ultra-fast, single-binary MCP server written in Rust as a lightweight alternative to Node.js/Python. - StamManif/mcp-stama

    Aug 2026 · github.com · its alternatives →

  21. 21
    Tantivy▲68

    A full-text, horse-speed search engine library in Rust

    2022 · github.com · its alternatives →

  22. 22BP

    TLDR: Product developers need tools designed for them to build ML models. We’d love for you to try a demo of Mage without needing to sign up: https://www.mage.ai/onboarding My name is Tommy DANGerous (or Tommy Dang) and I’m the CEO and co-founder at Mage. I worked at Airbnb for over 5 years as a product developer building features for guests. Mage is a web-based tool for building, training, and deploying ML models that make predictions based off your data. Training and using ML models in production typically requires working knowledge of building data pipelines, algorithms,…

    2022 · its alternatives →

  23. 23

    A metrics-driven eSports advertising platform

    2017 · its alternatives →

  24. 24

    ultra low latency graph based stream processing framework - wingfoil-io/wingfoil

    Dec 2025 · github.com · its alternatives →

Also compare

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 →