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Should I use MyScale | Run Vector Search with SQL?

Next-gen AI database fusing vector search with SQL analytics, fully managed and high-performance. - myscale.com

Depends. Buy if you're a SQL-heavy team running RAG or semantic search at real scale and have outgrown Postgres. Skip it if you just need embeddings on existing relational data — pgvector already does that.

Confidence

Medium. Based on ~14 public sources; independent user reviews were scarce and pricing figures weren't retrievable.

Ratings

  • Value for moneyNo public pricing figures in reviewed sources
  • Ease of use
  • Feature depth
  • Support qualityNo support evidence in reviewed sources
  • Security posture

Pricing

Not disclosed

ModelNot disclosed
Monthly feesNot disclosed
HardwareNot disclosed

Best for

  • SQL-first AI teams
  • RAG and semantic search builders
  • Legal and finance document search
  • Large multimodal vector datasets

Not for

  • Anyone not yet outgrowing Postgres + pgvector
  • Prototypes and small apps — a dedicated vector DB is overkill
  • Teams requiring published security or compliance docs
  • Buyers who can't verify pricing before committing

Gotchas - check before you buy

medium

Guess: managed pod pricing can scale fast with vector volume — confirm overage terms before committing.

medium

Guess: proprietary vector index may complicate exports; ClickHouse lineage eases scalar data migration.

medium

No security or compliance page surfaced — request SOC 2 documents directly before buying.

medium

Independent user reviews are scarce; most Reddit/HN posts are vendor-authored — trial before trusting benchmarks.

Pros and cons

Pros

  • Vector search plus SQL analytics in one ClickHouse-based engine
  • Uses familiar SQL instead of bespoke vector APIs
  • G2 4.6/5; 97% of reviewers give 4-5 stars
  • Fully managed, hosted on AWS (EKS)
  • Open-source MyScaleDB core gives a migration escape hatch

Cons

  • Postgres with pgvector and SQL Server now do native vector search
  • Separate DB forces data movement; embeddings beside relational data is the real win
  • No public security page found in sources reviewed
  • Pricing figures not surfaced publicly; tiers unclear
  • Modest launch traction: 6 points, one comment on Hacker News

Sources & method

Analyzed 9/21/2026 - 9 sources - No known vulnerabilities found in the sources reviewed.

official x2review x3security x1news x3

Key stats

  • Ease of use: 4/5

    Rating

  • Not disclosed

    Starting price

  • 9

    Sources

  • Analyzed

  • Value for money. No public pricing figures in reviewed sources
  • Ease of use: 4/5. G2 reviewers note it works from any language
  • Feature depth: 4/5. Full SQL analytics plus vector search on ClickHouse
  • Support quality. No support evidence in reviewed sources
  • Security posture: 2/5. No public security page surfaced
  • 4.6/5 G2 rating 97% of reviewers rate it 4 or 5 stars
  • Top-8 vector DB Category standing Named in G2's best vector database eval, 2026
  • ClickHouse fork Core engine Open-source MyScaleDB on GitHub
  • Apr 2023 Public launch 6 points, 1 comment on Hacker News

Pricing

Not disclosed

Security

No known vulnerabilities found in the sources reviewed.

What users say

Independent user feedback is thin; the strongest signal is a 4.6/5 G2 rating, while Reddit and Hacker News posts about MyScale are largely vendor-authored.

Alternatives

Compare MyScale | Run Vector Search with SQL with each alternative.

Full analysis

Based on ~14 public sources; independent user reviews were scarce and pricing figures weren't retrievable.

Solid SQL-native vector DB for AI search at scale; most small/mid teams get by with pgvector in Postgres.

Methodology

Based on ~14 public sources; independent user reviews were scarce and pricing figures weren't retrievable.

Sources

  1. I Evaluated 8 Best Vector Database Software on G2 (2026)g2.com
    review
  2. pgvector vs MyScale on Vector Search Capabilitieszilliz.com
    review
  3. AI in SQL Server vs PostgreSQL: Vector Search, Embeddingssqlservercentral.com
    review
  4. myscale/MyScaleDB: ClickHouse fork with vector supportgithub.com
    official
  5. MyScale product sitemyscale.com
    official
  6. MyScale security pagemyscale.com
    security
  7. Run Vector Search with SQL — Hacker Newsnews.ycombinator.com
    news
  8. Run Vector Search with SQL — Reddit r/SQLreddit.com
    news
  9. Towards Reliable Vector Database Management Systems (arXiv)arxiv.org
    news

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