Alternatives to Qdrant

AI-native vector database for building scalable, intelligent applications.

IBM is a global technology and consulting company that provides integrated solutions and services, including cloud, AI, software, and hardware.

A unified data analytics and AI platform built on the lakehouse architecture.

Together AI offers an AI-native cloud platform providing high-performance inference APIs, GPU clusters, and fine-tuning capabilities for open-source AI models.

Managed vector database for building scalable, reliable, and accurate AI applications and search.

AI Search Platform for real-time, large-scale applications combining big data, vector search, and ML inference.

AI infrastructure for building intelligent applications.

Hugging Face is the leading AI community and platform for machine learning collaboration, enabling developers to build, share, and deploy models, datasets, and applications.

An open-source TypeScript/JavaScript framework for building AI agents, from the creators of Gatsby.

Nebius is an AI cloud infrastructure provider offering a full-stack platform for AI development, from data preparation and model training to production deployment.

Open source Firebase alternative with a PostgreSQL backend and real-time capabilities.

Generative AI platform for enterprises to build, train, and customize their own AI models.

WEKA is a data platform for AI and HPC workloads, delivering extreme performance for GPU clusters, genomics pipelines, and data-intensive applications.

Full-stack observability platform built on open standards for unifying telemetry and accelerating troubleshooting.

Fully managed ClickHouse service for real-time analytics on AWS, GCP, and Azure.

ScyllaDB is a high-performance, low-latency NoSQL database for data-intensive applications, designed to scale with modern infrastructure.

Data platform for apps and AI, unifying distributed data for analytics and AI innovation.

Modern infrastructure as code platform enabling developers to manage cloud resources using familiar programming languages.

Open-source, end-to-end MLOps platform for enterprise AI development and deployment.

Cloud Development Environments for efficient and secure team software development.