4 مستودعات
Mechanisms for enforcing data structure rules and validating schema consistency in shared storage.
Distinct from Storage Integrity Validation: Closest candidates focus on schema-agnostic storage or disk integrity rather than operational schema enforcement for collaborative state.
Explore 4 awesome GitHub repositories matching data & databases · Storage Schema Validations. Refine with filters or upvote what's useful.
Nebula is a distributed graph database designed for storing and querying massive volumes of interconnected vertices and edges across a horizontally scalable cluster. It functions as a Kubernetes-native database and a distributed graph analytics engine, utilizing a Raft-based distributed store to ensure strong consistency and high availability. The system features an OpenCypher query engine for performing complex graph traversals and pattern matching. It distinguishes itself with a decoupled compute-storage architecture and a shared-nothing distributed design, allowing query processing and dat
Verifies that tags, edge types, and property names are correctly referenced in graph queries.
Epicenter is a local-first knowledge management system and data orchestrator designed to structure information generated by large language models into validated schemas. It functions as a storage architecture that persists application data in human-readable files and databases to ensure user ownership and portability. The system distinguishes itself by projecting language model outputs into structured, schema-validated tables and utilizing conflict-free replicated data types to synchronize application state across multiple devices without a central server. This allows for offline access and c
Enforces structured data rules and schema consistency across local storage and synchronized state updates.
RavenDB is a multi-model NoSQL document database designed for high-performance, ACID-compliant data storage. It persists structured information as schema-flexible JSON documents and utilizes a unit-of-work session pattern to track entity changes and batch modifications into atomic transactions. The platform is built on a distributed architecture that supports horizontal scaling through sharding and ensures high availability via multi-node, master-to-master cluster replication. The database distinguishes itself through a self-optimizing query engine that automatically creates and maintains ind
Enforces structural guarantees on documents using JSON Schema validation.
Active Storage Validations هي مكتبة لـ Ruby on Rails توفر مساعدي تحقق على مستوى النموذج للمرفقات. تدمج مباشرة في دورة حياة التحقق القياسية لضمان توافق المحتوى الذي تم تحميله مع متطلبات الأعمال المحددة قبل استمراريته في التخزين. يفرض إطار العمل قيوداً على حجم الملف، ونوع المحتوى، والأبعاد، وعدد المرفقات. ويتضمن آليات أمان لاكتشاف ومنع انتحال نوع المحتوى من خلال فحص التوقيع الثنائي للملفات للتحقق من أن تنسيقها الفعلي يطابق الامتداد المعلن. بعيداً عن التحقق الأساسي، تدعم المكتبة مراقبة جودة أصول الوسائط من خلال فرض نسب عرض إلى ارتفاع وأبعاد محددة. كما توفر أدوات مطابقة للاختبار للتحقق من تكوين هذه القيود بشكل صحيح داخل سير عمل التطوير.
Provides model-level validators to ensure uploaded files meet business requirements before storage.