Distributed SQL Architecture
PostgreSQL wire protocol compatibility
Serializable, distributed transactions
Horizontally scalable SQL database
Automatic sharding with consistent hashing
Consensus-based replication with Raft protocol
Distributed query processing engine
Cloud-Native Resilience
Survives machine, rack, and datacenter failures
Self-healing replication with automatic repair
No single point of failure in architecture
Five-nines availability design
Zero downtime operations and upgrades
Automated recovery from network partitions
Global Data Distribution
Multi-region, multi-cloud deployment capability
Automatic data locality for low-latency access
Geo-partitioning for data sovereignty compliance
Follow-the-workload data balancing
Cross-region and multi-region transactions
Region-aware replication controls
Enterprise-Grade Performance
Distributed SQL query execution
Vectorized execution engine
Column-family storage engine
MVCC (Multi-Version Concurrency Control)
Tunable consistency levels for read operations
Adaptive query optimization
PostgreSQL Compatibility
Standard SQL support with extensions
PostgreSQL wire protocol compatibility
Client driver compatibility
Common PostgreSQL tools support
Familiar SQL dialect for developers
Migration paths from PostgreSQL databases
Operational Simplicity
Automated operations with minimal human intervention
Built-in monitoring and alerting capabilities
Rolling upgrades with zero downtime
Online schema changes without blocking
Integrated backup and restore functionality
Simple horizontal scaling operations
Security Features
TLS encryption for all communications
Role-based access control system
SQL privileges management
Enterprise authentication integration
Row-level security for multi-tenant data
Certificate-based node identity
Comprehensive Observability
SQL-based monitoring interface
Prometheus and Grafana integration
Detailed transaction tracing
Workload analysis tools
Performance recommendations
Capacity planning insights
Developer Experience
Familiar SQL interface for productivity
ORM compatibility with popular frameworks
JSON and spatial data type support
TIME TRAVEL queries for historical data
Extensive documentation and tutorials
Advanced data types and functions