Run Vector Search with SQL
Based on user reviews
Rating Distribution
Julian Carter
4 months ago
Tried MyScale for about one month to power similarity search for customer support docs. The classic SQL syntax makes it easy-no special training needed, and the HybridSearch function honestly cuts my query time way down compared to Milvus. Ingesting millions of vectors was impressively fast (under 30 minutes). One minor gripe: managing backup exports to S3 could use more UI polish. Still, super cost-effective for the size.
Albert Schaper(Artificial Intelligence, AI Tools)
Albert Schaper, with expertise in artificial intelligence, has reviewed MyScale for Data Analytics and rates it 4.0/5 based on 1 user review. The tool demonstrates particular strength for software developers who need artificial intelligence capabilities in their workflows.
Pricing: $0 – $68 / month(Updated November 2025)
Free tier for up to 5M vectors; Standard at $68/month; Enterprise custom pricing on request. All amounts in USD.
Usage Model: Pay-as-You-Go, API Calls — ensuring you only pay for what you actually use.
MyScale makes data analytics accessible through its free tier, designed for software developers who want to try before buying. The free plan covers essential functionality that's sufficient for personal projects and learning. Paid subscriptions provide access to advanced tools, higher capacity, and enhanced support for software developers with complex data analytics needs.
MyScale is a fully managed, next-generation AI database that combines vector search with SQL analytics, enabling developers to build scalable, production-grade generative AI applications efficiently using familiar SQL workflows.
Understanding the core functionality and approach of MyScale.
Pay-as-you-go pricing means MyScale costs scale with your actual usage. No wasted spend on unused seats or features you don't need yet. Usage-based billing keeps costs aligned with real adoption.
Explore the powerful features that make MyScale stand out.
SDKs (e.g., Python and JavaScript/TypeScript) help dev teams launch prototypes quickly.
Decision-makers get real-time context without waiting on manual reporting. Analytics and reporting surface the metrics needed to act quickly.
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Stakeholder alignment happens faster when everyone sees the same data and insights. Analytics and reporting surface the metrics needed to act quickly.
Self-service analytics reduces the backlog on central BI teams. Analytics and reporting surface the metrics needed to act quickly.
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