MyScale
MyScale is a cloud-native SQL vector database that combines the power of traditional SQL with vector search, enabling complex queries on structured and unstructured data.
Price: Freemium
Description
MyScale stands out by merging the familiarity and power of SQL databases with the advanced capabilities of vector similarity search. Built on ClickHouse, it allows developers and data scientists to perform both analytical queries on structured data and semantic searches on vector embeddings within a single system. This unique combination makes it ideal for applications requiring hybrid search, such as filtering results based on metadata before performing a vector search, or vice-versa. Use cases include advanced recommendation systems, personalized content delivery, intelligent data analysis, and RAG systems where structured filtering is crucial. MyScale differentiates itself from pure vector databases by offering robust SQL capabilities and from traditional databases by integrating native vector search, providing a powerful and flexible solution for modern AI-driven data workloads.
How to Use
1.Sign up for MyScale Cloud and create a new cluster.
2.Connect to your MyScale cluster using standard SQL clients or their SDKs.
3.Create tables with both traditional data types and vector columns.
4.Insert your data, including vector embeddings, into your MyScale tables.
5.Perform SQL queries combined with vector search functions (e.g., `SELECT * FROM my_table WHERE metadata_field = 'value' ORDER BY L2_distance(vector_col, [query_vector]) LIMIT 10`).
6.Integrate the results into your applications or analytical dashboards.
Use Cases
Hybrid search (structured + semantic)Advanced recommendation systemsPersonalized content deliveryIntelligent data analysisRetrieval Augmented Generation (RAG) with filteringFraud detection with metadata context
Pros & Cons
Pros
- Combines powerful SQL analytics with fast vector search.
- Simplifies hybrid search for structured and unstructured data.
- Built on the high-performance ClickHouse engine.
- Reduces infrastructure complexity by consolidating data types.
- Flexible for diverse AI and data analysis use cases.
Cons
- Requires familiarity with SQL and vector database concepts.
- Can be complex to optimize for highly specific or unusual workloads.
- Cloud pricing scales with usage and can become significant for large datasets.
Pricing
Free Plan:
Includes 1 cluster, 100 million vectors, 1 GB storage, 1 vCPU, 2 GB RAM
For development and testing
Developer Plan:
Starts from $0.05/hour for a basic instance (or ~$36/month for a small 2 vCPU, 4GB RAM instance)
Pricing based on compute (vCPU, RAM), storage (per GB), and vector index size
Includes managed service, automatic backups, and scaling
Business Plan: Contact Sales
Higher resource limits, custom cluster configurations, advanced monitoring, and priority support
Enterprise Plan: Contact Sales
Dedicated clusters, custom SLAs, private deployments, advanced security, and dedicated account management
Free Trial: A free plan is available, serving as a perpetual trial
Refund Policy: As a pay-as-you-go service, refunds are typically not offered for usage already incurred
Check their specific cloud terms.
FAQs
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