isar/isar
Isar
Isar is a type-safe, ACID-compliant local NoSQL document store designed for high-performance data storage and retrieval. It functions as an embedded database engine that persists large datasets on-device while ensuring transactional integrity through automatic rollbacks of failed write operations.
The project distinguishes itself by validating database queries at compile time using static typing to prevent runtime errors. It incorporates a full-text search engine with specialized indexing for efficient keyword and phrase matching and utilizes parallel execution across multiple isolates to prevent blocking the main application thread.
The system provides comprehensive capabilities for asynchronous data management, including CRUD operations, composite and multi-entry indexing, and filtered data modification. It handles schema definitions and database instance configuration to maintain local application state across sessions.
Features
- NoSQL Databases - Provides a high-performance, asynchronous NoSQL database system for storing and retrieving non-relational data on-device.
- Persistent NoSQL Stores - Functions as a high-performance, persistent NoSQL document store for on-device data management.
- Local Storage - Saves and retrieves large amounts of structured data on-device for offline access.
- Asynchronous Storage APIs - Provides asynchronous interfaces for non-blocking data persistence to maintain application responsiveness.
- CRUD Operations - Provides fundamental asynchronous primitives for creating, reading, updating, and deleting local records.
- Atomic Transactions - Ensures data consistency by executing multiple operations as a single unit with automatic rollback on failure.
- Document Stores - Functions as an embedded document store that manages information as semi-structured document objects.
- Full-Text Search Engines - Implements a full-text search engine with specialized indexing for efficient keyword and phrase matching.
- ACID-Compliant - Ensures atomic, consistent, isolated, and durable operations with automatic rollback support.
- Engines - Provides a database engine that validates queries at compile time using static typing to prevent runtime errors.
- Type-Safe Query Builders - Provides a query interface with compile-time validation based on static schema definitions.
- Flutter - Provides a fast, asynchronous local database for maintaining application state across sessions in Flutter.
- Strongly-Typed Query Validation - Validates query structure and semantics against the schema at compile time to ensure type safety.
- Compile-Time Query Validation - Uses static type checking to validate database queries during the build process, preventing runtime errors.
- Data Query Filters - Filters datasets using specialized modifiers and formats to retrieve or update specific records efficiently.
- Composite Indexes - Implements composite indexes to optimize filtering and ordering across multiple fields.
- Full Text Search - Implements specialized indexing for efficient keyword and phrase searching across large text-based datasets.
- Multi-Entry Indexes - Organizes data using composite and multi-entry indexes to accelerate complex lookups and full text search operations.
- Indexed Document Retrieval - Retrieves specific datasets efficiently by utilizing internal indexes and query modifiers.
- Asynchronous Background Processors - Offloads heavy database operations to background isolates to keep the user interface responsive.
- Isolate-Based Parallelism - Executes database operations in background isolates to prevent blocking the main application thread.
