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RavenDB

A schema-less document database that creates and optimizes its own indexes, with AI and RQ

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RavenDB is a schema-less NoSQL document database that automatically creates and optimizes indexes, reducing the need for manual schema design and index tuning. It supports master-master replication for continuous availability, distributed operation with data redundancy, and sub-second query performance. The database also includes built-in AI capabilities such as GenAI integration, vector search, and AI agents, enabling semantic search, data enrichment, and context-aware AI applications directly within the database layer.

RavenDB offers three deployment options: a fully managed cloud service, on-premises installation, and an edge edition designed for resource-constrained hardware and unreliable networks. It includes a web-based Management Studio for managing clusters, databases, indexes, queries, and performance monitoring. Integrations cover infrastructure platforms (Docker, Kubernetes, AWS, Azure, GCP), SDKs (.NET, Node.js, Java, Python, Go, PHP), message brokers (Kafka, RabbitMQ, Amazon SQS, Azure queues), databases (SQL Server, PostgreSQL, Oracle, MySQL, Elasticsearch), business intelligence tools (Snowflake, Power BI, OLAP), and AI providers (OpenAI, Azure OpenAI, Ollama, Mistral AI, Grok, Gemini, Hugging Face). RavenDB is open-source and available under a free plan, with cloud and on-premises editions offered separately.

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