Bixel

MyScale

Myscale.com
Company Overview

As of September 3, 2026: MyScale is a fully-managed AI database that combines vector search with SQL, targeting teams that want embedding-based retrieval without abandoning relational query patterns.

The product is positioned around multimodal vector datasets and SQL-native access, which means teams already fluent in SQL can query vector indexes without adopting a new query language. The live site runs Angular with Heap Analytics and Hotjar alongside Google Analytics, suggesting active funnel instrumentation and UX testing on the marketing side.

Backed by 13 dated facts
Drawn from 2 dimensions of the record, each dated and sourced.
technologies
7
observed
dated changes
146
Aug 2026
The record, by dimensionevery dimension is its own page →
StackBacked by 10 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Modern web stack
The site runs Angular with Google Analytics, Heap Analytics, and Hotjar all detected live, plus three additional tools, meaning the team is actively measuring user behavior at multiple layers; a buyer evaluating vendor maturity can take the instrumented funnel as a sign the go-to-market side is being actively worked, though it says nothing about the database infrastructure itself.
Full stack read →
Positioning
AI Database
The homepage headline is "Run Vector Search with SQL", and the copy explicitly names multimodal vector datasets and a fully-managed deployment model; a buyer who needs vector search but whose team lives in SQL tooling is the direct target, while a buyer already committed to a dedicated vector-only store will need to evaluate whether the SQL layer adds value or overhead for their workload.
Backed by 3 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Change History146 dated events on the record
Pricing changed: Model · high significance
Positioning changed: Category
Positioning changed: Target Segment · high significance
Positioning changed: Category
Feature removed: Full Text Search · high significance
Feature removed: Filtered Search · high significance
Feature removed: Mysql · 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.angular",
            "value": true,
            "provenance": "observed",
            "as_of": "2026-09-03",
            "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 record says so.

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