Single interface to MongoDB, PostgreSQL, Elasticsearch, and key-value stores with built-in authorization, automatic audit trails, and schema validation. Eliminate database complexity while preserving specialized capabilities.
Try Data Layer View DocumentationTraditional applications spend enormous effort managing different database drivers, query languages, and connection patterns. The unified data layer provides a single, consistent interface that works across all supported database types.
Developers access MongoDB documents, PostgreSQL tables, Elasticsearch indices, and key-value stores through identical APIs while preserving the unique capabilities and performance characteristics of each database type.
Every data operation automatically includes user context validation and role-based access control. Authorization is enforced at the database query level, not just the application layer, ensuring complete data security.
Row-level security, automatic audit trails, and compliance logging work transparently across all database types without requiring custom security implementation or specialized knowledge.
JSON Schema validation ensures data integrity across all database operations. Schemas are shared between service functions, database storage, and UI components, providing end-to-end type safety.
Automatic schema evolution and migration support enables safe database changes while maintaining backward compatibility and preventing data corruption during updates.
Document-oriented storage with flexible schemas, perfect for evolving data models and complex nested structures. Native JSON support with powerful aggregation capabilities.
Enterprise-grade relational database with ACID transactions, foreign keys, and complex queries. Advanced features including JSON columns and full-text search.
Full-text search and analytics engine with real-time indexing. Advanced search capabilities including fuzzy matching, faceted search, and aggregations.
High-performance caching and session storage with sub-millisecond response times. Perfect for frequently accessed data and temporary storage needs.
Same interface works across all database types with automatic authorization and validation
// Same interface for all database types
public interface IDataStore
{
// Insert with automatic schema validation
Task<string> Insert(string collectionName, JsonObject document);
// Update with authorization checking
Task<bool> Update(string collectionName, Query query, JsonObject updatedDocument);
// Query with automatic user context filtering
Task<List<JsonObject>> Query(string collectionName, Query query,
int pageNumber, int pageSize, out int totalRecords);
// Delete with audit logging
Task<bool> Delete(string collectionName, Query query);
}
// Example usage - works with MongoDB, PostgreSQL, etc.
var userId = await dataStore.Insert("users", newUser);
var orders = await dataStore.Query("orders",
Query.Where("status", "active"), 1, 50, out var total);Multi-layered security controls protect data at every level
Automatic filtering based on user roles and permissions. Users only see data they're authorized to access.
Complete logging of all data access and modifications with user attribution and timestamp tracking.
All data encrypted using enterprise-grade encryption with automated key management and rotation.
Automatic SQL injection prevention and query sanitization across all database types.
Real-time monitoring of data access patterns with anomaly detection and alerting.
Centralized data governance policies enforced consistently across all database systems.
Eliminate 60-80% of database integration work by using a single, consistent interface. Developers learn one API that works across all database types, dramatically reducing complexity and training requirements.
Automatic schema validation, built-in authorization, and unified error handling allow teams to focus on business logic rather than database-specific implementation details.
Unified monitoring, backup strategies, and security policies across all database types reduce operational overhead. Single point of configuration for access control, audit logging, and compliance requirements.
Automatic database selection and optimization based on query patterns ensures optimal performance without manual tuning or specialized database administration expertise.
Experience the power of unified data access with enterprise-grade security and performance
Try Data Layer Technical Documentation