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AI · alternatives · 2026

24 alternatives to Terriqon

Collect field data offline. Get AI reports in minutes.

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.

  1. 1

    Collect Data Effectively & Efficiently both Online & Offline

    2022 · pdcollector.com · its alternatives →

  2. 2

    A direct line to your teams and resources

    2024 · portal.fieldmobi.com · its alternatives →

  3. 3

    Automate your document workflows

    2024 · panda-etl.ai · its alternatives →

  4. 4

    Yeah, there's AI, but I added it because I found it easier to find answers I'm looking for. For the data scientists, you can download the CSV and go crazy. Would love to know what discoveries or learnings can be found from it. To download the raw scraped data you need to become a paid member but you don't really need it unless you're wanting to finesse a table of data for a particular need. The cost is mostly just an incentive to help me pay the bills for running the website. The bunch of available CSV files contain large amounts of data which has everything from tags, genres, pricing,…

    2025 · gginsights.io · its alternatives →

  5. 5

    Local-first enterprise analytics on your infrastructure. Query in plain English or SQL, build dashboards, keep data sovereign—flat team pricing.

    Apr 2026 · orcasheets.ai · its alternatives →

  6. 6
    Livedocs▲474

    Bring live data from anywhere into your docs, without code

    Jan 2026 · livedocs.com · its alternatives →

  7. 7

    Data analytics and BI for non-tech managers

    2024 · datasquirrel.ai · its alternatives →

  8. 8

    Fastest way: csv/xls to dashboard report, no ChatGPT upload

    2023 · datasquirrel.ai · its alternatives →

  9. 9
    Fluree AI▲281

    Combines JSON's simplicity with the power of linked data.

    Jul 2026 · flur.ee · its alternatives →

  10. 10

    Your AI, fully offline with Zero data collection & 100% free

    May 2026 · lumichats.com · its alternatives →

  11. 11
    CamelAI▲194

    camelAI 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 →

  12. 12

    Your phone has a GPU more powerful than most 2018 laptops. Right now it sits idle while you pay monthly subscriptions to run AI on someone else's server, sending your conversations, your photos, your voice to companies whose privacy policy you've never read. Off Grid is an open-source app that puts that hardware to work. Text generation, image generation, vision AI, voice transcription — all running on your phone, all offline, nothing ever uploaded. That means you can use AI on a flight with no wifi. In a country with internet censorship. In a hospital where cloud services are a compliance…

    Feb 2026 · github.com · its alternatives →

  13. 13

    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 →

  14. 14

    An offline-first field service app powered by AI

    Jun 2026 · fieldbase.work · its alternatives →

  15. 15AN
  16. 16WA

    Hi HN, I’m building Waycore, an open-source project exploring what a flexible, offline-first field computer should look like for outdoor, survival, and off-grid scenarios. The core goals are adaptability and resilience: modular hardware (external sensor/tool modules) extensible OS with support for external apps (guidelines in progress) no required internet connection — maps, models, and knowledge work offline optional LTE/Wi-Fi when available and explicitly enabled A major focus is on-device agentic AI, not just chat or image recognition. The AI is intended to: read live sensor…

    Dec 2025 · its alternatives →

  17. 17
    SPREEV▲84

    No need to be a data scientist to use ML & AI

    2023 · oneconnectsolutions.com · its alternatives →

  18. 18

    Instant data extraction from any file with AI

    2025 · cloudsquid.io · its alternatives →

  19. 19

    Mage AI helps data teams build, orchestrate, monitor, and repair production data pipelines with editable SQL and Python for analytics, applications, and AI.

    2022 · mage.ai · its alternatives →

  20. 20

    Your AI agents, assistants, and apps need unified, current and trusted business context to reason, decide, and act. Arango is the solution.

    2014 · arangodb.com · its alternatives →

  21. 21

    Stop hiring analysts . Start deploying AI agents

    Jan 2026 · salusgemmalabs.com · its alternatives →

  22. 22

    Excited to share a project I’ve been building for months! Would love to receive honest feedback :) My motivation: AI is clearly going to be the interface for data. But earlier attempts (text-to-SQL, etc.) fell short — they treated it like magic. The space has matured: teams now realize that AI + data needs structure, context, and rules. So I built a product to help teams deliver “chat with data” solutions fast with full control and observability (agent tracing, quality scores, etc) — am I wrong? The product allows you to connect any LLM to any data source with centralized context…

    2025 · github.com · its alternatives →

  23. 23

    I got tired of the overhead required to run even a simple data analysis - cloud setup, ETL pipelines, orchestration, cost monitoring - so I built a fully local data-stack/IDE where I can write SQL/Py, run it, see results, and iterate quickly and interactively. You get data lake like catalog, zero-ETL, lineage, versioning, and analytics running entirely on your machine. You can import from a database, webpage, CSV, etc. and query in natural language or do your own work in SQL/Pyspark. Connect to local models like Gemma or cloud LLMs like Claude for querying and analysis. You…

    Apr 2026 · stream-sock-3f5.notion.site · its alternatives →

  24. 24

    Hey HN! I'm open-sourcing a little weekend side project. It's a terminal UI that generates parsers for webpages using AI, and a library that runs these parsers while you browse (it connects to Chrome over CDP). You can parse Twitter, LinkedIn, and HN posts and they get saved to a DuckDB database, so you can query them later. Contributions welcome! I wrote a bit more about it here: https://0thernet.substack.com/p/memo-2-selectron

    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 →