MyScale
MyScale is a cloud-based SQL vector database optimized for AI applications, combining vector search capabilities with full SQL support for efficient management of structured and unstructured data.
https://myscale.com/
Product Information
Updated:Dec 9, 2024
MyScale Monthly Traffic Trends
MyScale experienced a 42.7% decline in traffic, with visits dropping to 281K. The lack of significant product updates or market activities in November 2024 suggests that the decline might be due to normal market fluctuations or reduced user interest.
What is MyScale
MyScale is a high-performance, fully-managed SQL vector database designed specifically for scalable AI applications. Built on top of the open-source ClickHouse database, it enables developers to effectively manage massive volumes of both structured and vector data. MyScale stands out by offering a unique combination of vector similarity search algorithms with traditional SQL database functionalities, allowing users to perform complex queries and analyze data in various ways using familiar SQL syntax.
Key Features of MyScale
MyScale is a high-performance SQL vector database optimized for AI applications, combining vector search capabilities with full SQL support. It offers fast and efficient vector search, text search, filtered search, and complex SQL-vector join queries. MyScale is built on ClickHouse, providing enhanced RAG effectiveness, cost-efficiency, and seamless integration with popular AI development tools and frameworks.
SQL-Compatible Vector Database: Allows users to perform vector search, text search, and complex queries using familiar SQL syntax, making it accessible to developers with SQL knowledge.
High-Performance MSTG Vector Engine: Utilizes a proprietary MSTG algorithm for vector search, offering 3x faster performance and 3x cost savings compared to specialized vector databases.
Advanced RAG Capabilities: Combines vector and full-text search with metadata filtering to enhance retrieval-augmented generation (RAG) effectiveness for AI applications.
Powerful Full-Text Search: Incorporates BM25 for relevance ranking, configurable tokenizers for various languages, and a simple yet powerful query language.
AI Stack Integration: Seamlessly integrates with popular AI development languages, frameworks, and offers LLM application observability through MyScale Telemetry.
Use Cases of MyScale
Chatbot Development: Building RAG-enabled chatbots with MyScale as the primary data source for vector search and chat history management.
AI-Powered Search Systems: Implementing advanced search functionalities in applications that require both structured and unstructured data querying.
Large-Scale Data Analysis: Analyzing and querying massive multimodal vector datasets for business intelligence and data-driven decision making.
Content Recommendation Engines: Developing personalized recommendation systems that leverage both vector similarity and metadata filtering.
Pros
Combines vector search capabilities with full SQL support, making it accessible to SQL-proficient developers
High performance and cost-efficiency compared to specialized vector databases
Seamless integration with popular AI development tools and frameworks
Cons
May require some learning curve for developers not familiar with vector databases
As a relatively new product, it may have a smaller community compared to more established databases
How to Use MyScale
Create a MyScale account and cluster: Sign up for a MyScale account and create a new cluster to store your data by following the quickstart guide.
Install required libraries: Install the clickhouse-connect library to interact with MyScale, as well as other dependencies like OpenAI if needed.
Connect to your MyScale cluster: Use the connection details (host, username, password) provided when you created your cluster to establish a connection from your application.
Create a table to store vector data: Use SQL to create a table in MyScale with appropriate columns for your data, including a vector column. Specify the vector index type and distance metric.
Insert vector data: Insert your vector data into the table you created, either by importing from files or inserting programmatically.
Perform vector searches: Use SQL queries with vector functions to perform similarity searches on your data. You can do basic vector searches, filtered searches, or hybrid text+vector searches.
Utilize advanced features: Take advantage of MyScale's SQL capabilities to perform complex queries, joins, and analytics on your vector and structured data.
MyScale FAQs
MyScale is a high-performance, SQL-enabled vector database optimized for AI applications and solutions. It combines vector search capabilities with full SQL support, allowing management of both structured and vector data within the same database.
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Analytics of MyScale Website
MyScale Traffic & Rankings
281.1K
Monthly Visits
#237366
Global Rank
#975
Category Rank
Traffic Trends: May 2024-Nov 2024
MyScale User Insights
00:00:48
Avg. Visit Duration
1.51
Pages Per Visit
49.84%
User Bounce Rate
Top Regions of MyScale
US: 15.25%
CN: 6.33%
JP: 4.79%
IN: 4.15%
VN: 2.87%
Others: 66.62%
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