MyScale

Company Overview

As of July 20, 2026: MyScale is a fully-managed vector database that lets data teams run vector search through standard SQL, currently available at no cost.

The product fuses vector search with SQL analytics, targeting data teams who already know SQL and do not want to learn a new query language. No paid tiers are publicly listed, so there is no visible ceiling on what the free offering includes or where pricing begins when limits are hit.

Medium confidence · 15 dated facts
Corroborated across 3 dimensions of the record.
The record, by dimensionevery dimension is its own page →
PricingMedium confidence · 1 dated fact
Grounded in a smaller fact set; directionally reliable.
Free
The product is free with no published tier structure, which removes the immediate cost question but leaves buyers without a clear picture of what happens at scale or high volume.
Full pricing read →
Change History143 dated events on the record
Positioning changed: Category
Feature removed: Full Text Search · high significance
Feature removed: Filtered Search · high significance
Feature removed: Mysql · high significance
Feature removed: Postgresql · high significance
Positioning changed: Category
Feature removed: Text To SQL · high significance
Get this record via API / MCPevery field dated and sourced
RESTopen tier
GET https://api.bixel.com/v1/companies/myscale.com

{
  "data": {
    "company": {
      "name": "MyScale",
      "domain": "myscale.com",
      "categories": [
        "vector-databases"
      ]
    },
    "dimensions": {
      "stack": {
        "facts": [
          {
            "key": "stack.tech.nuxtjs",
            "value": true,
            "provenance": "observed",
            "as_of": "2026-07-20",
            "source_url": "www.myscale.com"
          }
        ]
      },
      "…": "…"
    }
  }
}
MCPfor agents
# any MCP client (Claude, agents)
const record = await bixel.get_company({ domain: "myscale.com" })

# returns the whole record above,
# each value with its source_url + as_of,
# ready to reason over
Build on the company record. One key, REST + MCP, every signal dated and sourced back to the page it came from.
How Bixel reads this

Every read above is derived from public signals, each sourced and dated, and kept honest about provenance: what the company states on its own pages and job posts (pricing, security, careers, positioning, its backend stack) versus what Bixel independently detects (technologies, infrastructure). Where a stated claim is also detected we mark it verified; where we only have the claim, we say so. Bixel infers posture: how it monetizes, how mature it is, where it's heading. It does notclaim private financials it can't observe. Where signals are thin, the confidence says so.

Public record, read from companies' own pages and boards. Every fact dated and sourced; provenance (observed vs company stated) shown inline.