Synapcores Features
AI-Native Database Capabilities Built for the AI Era
Native AI Functions in SQL
Transform your queries with built-in AI capabilities.
- No API integration required
- Millisecond response times
- Cost-effective at any scale
- Simple SQL syntax
-- Generate embeddings directly in queries
SELECT product_name,
EMBED(description) as vector,
SIMILARITY(description, 'wireless headphones') as relevance
FROM products
WHERE category = 'electronics'
ORDER BY relevance DESC;
-- Run predictions without external APIs
SELECT customer_id,
PREDICT_CHURN(customer_features) as churn_risk,
GENERATE_SUMMARY(interaction_history) as summary
FROM customers
WHERE last_activity < CURRENT_DATE - INTERVAL '30 days';Advanced Vector Operations
High-Performance Indexing
- HNSW (Hierarchical Navigable Small World) for fast approximate search
- IVF (Inverted File) for large-scale deployments
- Automatic index selection based on data characteristics
Similarity Functions
- Cosine similarity for semantic matching
- Euclidean distance for geometric comparisons
- Custom distance metrics for specialized use cases
Common Use Cases
Semantic search across documents
Product recommendations
Image similarity matching
Anomaly detection
Real-Time Streaming AI
Process and analyze data streams with embedded AI for sub-second decision making.
AutoML Capabilities
Automated machine learning with automatic algorithm selection and feature engineering without code.
Multi-Modal Data Management
Unified storage engine for documents, vectors, time-series, and graph data.
Enterprise-Grade Security
Row-level security with AI awareness, encrypted vector storage, and compliance-ready audit trails.
GPU Acceleration
Hardware optimization with CUDA and Metal support for maximum performance.