# MyScale vs Shaped

MyScale records 19,350 monthly visits with +21.3% month-over-month growth and Contact for Pricing, Free pricing. Shaped records 11,871 monthly visits with -39.2% growth and Contact for Pricing pricing.

| Metric | [MyScale](https://openaitools.app/tool/myscale-com) | [Shaped](https://openaitools.app/tool/shaped) |
| :--- | :--- | :--- |
| Website URL | https://myscale.com | https://www.shaped.ai |
| Categories | AI Search Engine, Large Language Models (LLMs), AI Chatbot, AI Developer Tools | AI Search Engine, AI API, Large Language Models (LLMs), AI Social Media |
| Pricing Model | Contact for Pricing, Free | Contact for Pricing |
| Monthly Visits | 19,350 | 11,871 |
| MoM Growth Rate | +21.3% | -39.2% |
| Primary Market | United States | United States |
| Direct Visits | 7,728 | 4,726 |
| Review Score | 4.6 | 4.8 |
| Saved Count | 1 | 3 |
| Supported Platforms | Website | Website |

## MyScale

MyScale is a vector database built around a simple premise: developers already know SQL, so an AI database should speak it too. Rather than adopting a new query language and separate analytics stack, you create vector indexes on columns and run familiar SELECT statements—including joins that mix vector similarity with structured filters—inside one system. That lowers the barrier for teams who want vector search but do not want to rebuild their data workflows around an unfamiliar API.

The core technical differentiator is the MSTG vector engine, which MyScale positions as delivering roughly three times the speed and cost efficiency of specialised vector databases. Alongside vector search, the platform provides BM25 full-text search with configurable tokenizers for many languages, metadata filtering for precise results, and advanced SQL vector join queries. Together these enable retrieval-augmented generation pipelines that combine semantic and keyword retrieval for better grounding, a common requirement for accuracy-sensitive AI applications. Text-to-SQL translation is also supported for complex querying.

Operationally, MyScale is offered as a fully managed service with integrations for popular languages and frameworks in the GenAI stack, plus observability tooling such as MyScale Telemetry for LLM applications. Security features include SQL-based role-based access control, SOC 2 compliance and ISO 27001 compliance. Teams typically start on a free allowance to prototype and then move to paid capacity as workloads grow; because configurations vary by scale, enterprise pricing is quoted directly rather than published.

**Pricing & Plans:** Contact for pricing / free. MyScale offers a free tier suitable for prototyping and learning, with paid and enterprise capacity quoted directly based on workload and support needs. Exact limits and rates are confirmed with the vendor.

- **Fully SQL-compatible vector database:** Run vector search, text search, filtered search and complex SQL-vector join queries using ordinary SQL syntax, indexes created with a single ALTER TABLE statement.
- **MSTG vector engine:** A purpose-built index engine marketed as delivering around 3x the speed and 3x the savings versus specialised vector databases, with faster ingestion and index building.
- **Hybrid search for RAG:** Combine vector similarity with BM25 full-text search and metadata filtering to improve retrieval quality and grounding in retrieval-augmented generation pipelines.
- **Managed, integrated service:** A fully managed offering with integrations across popular languages, frameworks and LLM tooling, including observability for AI applications.
- **Enterprise-grade security:** SQL-based role-based access control with SOC 2 and ISO 27001 compliance to support governed, production deployments.

**Strengths:** Uses standard SQL, so teams can adopt it with minimal new learning; Fuses vector, full-text and analytical queries in one managed system; MSTG engine targets strong speed and cost efficiency; Enterprise security posture with SOC 2 and ISO 27001 compliance

**Limitations:** Enterprise pricing is not published, so costs require a vendor conversation; As a managed cloud-focused product, self-hosting and portability options are more limited; Advanced tuning of vector indexes still requires understanding of embeddings and index behaviour

[Profile (Markdown)](https://openaitools.app/tool/myscale-com.md)

## Shaped

Shaped positions itself as "the only vector database with a feedback loop." Instead of a static embedding store, it continuously learns from every user interaction — clicks, purchases, watch time — so results get sharper the more your product is used. A single ShapedQL query can retrieve by text, user ID, or item ID, apply filters, score with ML models, and re-rank for diversity all at once.

The platform is built on a three-layer architecture. The query layer handles real-time retrieval and ranking with sub-50ms latency. The intelligence layer manages dynamic embeddings, user and item context, and continuous model training. The data layer connects to 30+ sources including Snowflake, BigQuery, Redshift, Kafka, PostgreSQL, Shopify, and Amplitude, unifying batch and streaming data under a single schema without ETL.

Shaped advertises enterprise-grade security with SOC 2 Type II certification, GDPR/CCPA/HIPAA compliance, and a 99.95% uptime SLA, operating at 5B+ document scale. The site notes that Shaped has been acquired by Whatnot, while the product continues to operate under the Shaped brand with a free $100 credit tier and no credit card required to start.

**Pricing & Plans:** Contact for pricing. New users receive $100 in free credits with no credit card required; plans for Shaped Cloud are quoted based on usage and scale.

- **ShapedQL unified query language:** Retrieve, filter, score, and re-rank across semantic search, keyword search, and behavioral models in a single SQL-like query.
- **Personalized hybrid search:** Blends semantic and keyword retrieval, then re-ranks results by predicted click-through and engagement for each individual user.
- **Continuous learning feedback loop:** ML models retrain on live interaction signals so ranking quality improves automatically as your product generates traffic.
- **30+ native connectors:** Stream data directly from warehouses, analytics tools, and event pipelines like Snowflake, Kafka, BigQuery, and Shopify with no ETL.
- **Sub-50ms serving with enterprise scale:** Handles 5B+ documents at 99.95% uptime SLA, with SOC 2 Type II, GDPR, CCPA, and HIPAA compliance.

**Strengths:** Unifies vector search, ML re-ranking, and training in one query instead of a fragile multi-vendor stack; Continuous learning from real interaction signals keeps results improving automatically; Broad connector ecosystem ingests batch and streaming data without custom ETL; Strong compliance posture (SOC 2 Type II, GDPR, HIPAA) and a published 99.95% uptime SLA

**Limitations:** Pricing is quote-based, so costs are hard to estimate before contacting sales; The ShapedQL and pipeline concepts carry a learning curve for teams new to relevance engineering; Now part of Whatnot, so long-term standalone roadmap clarity may depend on the acquirer

[Profile (Markdown)](https://openaitools.app/tool/shaped.md)

## Frequently Asked Questions

### How do MyScale and Shaped compare in monthly traffic?

MyScale has 19,350 monthly visits, while Shaped has 11,871. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

MyScale has a month-over-month growth rate of +21.3%; Shaped has -39.2%.

### How does pricing compare?

MyScale: Contact for Pricing, Free. Contact for pricing / free. MyScale offers a free tier suitable for prototyping and learning, with paid and enterprise capacity quoted directly based on workload and support needs. Exact limits and rates are confirmed with the vendor. Shaped: Contact for Pricing. Contact for pricing. New users receive $100 in free credits with no credit card required; plans for Shaped Cloud are quoted based on usage and scale.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Exa](https://openaitools.app/tool/exa-ai) | 1,062,574 | +16.8% | Freemium, Contact for Pricing | Web search API and crawler built for AI agents | [.md](https://openaitools.app/tool/exa-ai.md) |
| 2 | [You.com](https://openaitools.app/tool/you) | 948,349 | +7% | Freemium | Search and inference APIs that give AI models real-time web data | [.md](https://openaitools.app/tool/you.md) |
| 3 | [Algolia](https://openaitools.app/tool/algolia) | 689,970 | -11% | Freemium, Contact for Pricing | AI search and retrieval platform for modern apps and commerce | [.md](https://openaitools.app/tool/algolia.md) |
| 4 | [Scale](https://openaitools.app/tool/scale) | 616,915 | +12.5% | Contact for Pricing | The data, evaluations and systems behind AI that has to be right. | [.md](https://openaitools.app/tool/scale.md) |
| 5 | [Pinecone](https://openaitools.app/tool/pinecone) | 286,732 | -31% | Freemium, Paid, Contact for Pricing | The managed vector database and knowledge engine for production AI | [.md](https://openaitools.app/tool/pinecone.md) |
| 6 | [Jina AI](https://openaitools.app/tool/jina-ai) | 280,782 | -16.5% | Freemium, Paid | Search foundation built from embeddings, rerankers, and reader APIs | [.md](https://openaitools.app/tool/jina-ai.md) |
| 7 | [supermemory](https://openaitools.app/tool/supermemory-1) | 156,579 | -7.7% | Contact for Pricing | A memory and continual-learning engine that gives any AI agent persistent context | [.md](https://openaitools.app/tool/supermemory-1.md) |
| 8 | [Meilisearch](https://openaitools.app/tool/meilisearch) | 119,713 | -21.5% | Free Trial, Contact for Pricing | Lightning-fast search engine you can self-host or run in the cloud | [.md](https://openaitools.app/tool/meilisearch.md) |
| 9 | [Zilliz](https://openaitools.app/tool/zilliz) | 108,886 | -16.4% | Freemium, Paid, Free, Contact for Pricing | Fully managed Vector Lakebase and vector database for enterprise AI, built by the creators of Milvus | [.md](https://openaitools.app/tool/zilliz.md) |
| 10 | [Qdrant](https://openaitools.app/tool/qdrant-io) | 72,992 | -38.4% | Freemium, Contact for Pricing | Open-source, high-performance vector search at any scale | [.md](https://openaitools.app/tool/qdrant-io.md) |

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Source: https://openaitools.app/compare/myscale-com-vs-shaped

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