Database Tools
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Gel Database
Freemium
Gel Database is a next-generation database used by AI developers and data scientists, featuring a graph-relational model with built-in vector search and rich type system. It enables advanced query capabilities for AI applications, ideal for use cases like knowledge graph management and natural language processing. Gel Database supports modern query language.
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SurrealDB
Freemium
SurrealDB is a multi-model cloud database used by developers and data scientists for building complex AI applications, featuring document, graph, relational, and vector search capabilities. It offers a unified SQL-like query language for simplified data management, ideal for use cases like recommender systems and natural language processing.
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Bagel Network
Freemium
The Bagel Network is a decentralized AI data network used by developers and data scientists building AI applications on web3 infrastructure, providing vector storage, model fine-tuning, and inference with key features like privacy-preserving technology. It enables secure data sharing and collaboration for various use cases, including machine learning model training and natural language processing.
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Supabase AI
Freemium
Supabase AI is an open-source Firebase alternative with built-in AI capabilities, offering a PostgreSQL database with vector embeddings support for building AI-powered applications. Developers use it to store and query embeddings for semantic search, recommendation engines, and RAG pipelines. It provides real-time subscriptions, authentication, and auto-generated APIs making it ideal for full-stack AI development.
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Pinecone
Freemium
Pinecone is a vector database purpose-built for AI applications, enabling developers to store, index, and search high-dimensional vector embeddings at scale. It powers semantic search, recommendation systems, and retrieval-augmented generation (RAG) pipelines with millisecond query performance. Data scientists and ML engineers use Pinecone to build production-grade AI applications without managing infrastructure.
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Weaviate
Freemium
Weaviate is an open-source vector database that allows developers to store data objects and vector embeddings from ML models, enabling powerful semantic search and generative AI applications. It supports hybrid search combining vector and keyword search for more accurate results. Engineers building AI applications use Weaviate for knowledge graphs, recommendation systems, and intelligent document retrieval.
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Qdrant
Freemium
Qdrant is a high-performance vector similarity search engine and database written in Rust, designed for production-ready AI applications requiring fast and accurate nearest neighbor search. It supports filtering, payload storage, and distributed deployment for enterprise-scale vector search workloads. ML engineers and AI developers use Qdrant to power recommendation engines, image search, and NLP applications.
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Chroma
Free
Chroma is an open-source AI-native vector database designed for developers building LLM applications, offering simple APIs for storing and querying embeddings locally or in the cloud. It integrates seamlessly with LangChain, LlamaIndex, and other AI frameworks for building RAG applications. Developers use Chroma for prototyping and production AI applications requiring fast semantic search capabilities.
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Neon
Freemium
Neon is a serverless PostgreSQL database platform with built-in AI features including pgvector support for storing and querying vector embeddings alongside relational data. It offers instant database branching for development workflows and scales to zero when not in use, making it cost-effective for AI application development. Developers use Neon to build AI applications without managing database infrastructure.
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Turbopuffer
Freemium
Turbopuffer is a fast and cost-efficient vector database built for serverless environments, offering high-performance vector search with BM25 full-text search capabilities. It is designed for developers who need scalable vector search without the overhead of managing dedicated infrastructure. Teams building semantic search and RAG applications use Turbopuffer for its low latency and competitive pricing.
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Milvus
Free
Milvus is an open-source vector database built for scalable similarity search and AI applications, supporting billion-scale vector datasets with high throughput and low latency. It provides enterprise-grade features including multi-tenancy, data sharding, and cloud-native deployment options. Data engineers and ML teams use Milvus to power large-scale recommendation systems, image recognition, and natural language processing applications.
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LanceDB
Free
LanceDB is an open-source vector database for AI built on the Lance columnar format, offering embedded and serverless deployment options for storing multimodal data including vectors, text, and images. It integrates with popular AI frameworks and provides full-text search alongside vector search capabilities. Developers building multimodal AI applications use LanceDB for its simplicity and performance.
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