Chroma vs Vespa: Vector Databases Comparison

Chroma is an open-source embedding database designed for simplicity and developer experience, licensed under Apache 2.0. It provides a lightweight, easy-to-use API for storing, querying, and filtering embeddings locally or in the cloud.

Chroma is the default vector store in many LLM frameworks like LangChain and LlamaIndex, making it extremely popular for prototyping and building RAG applications quickly. The managed Chroma Cloud service offers serverless deployment with usage-based pricing, while the self-hosted version runs on a single node at no cost.

The company achieved SOC 2 Type II compliance for enterprise deployments and offers Chroma Cloud with features including BYOC in your VPC, multi-cloud/multi-region replication, and point-in-time recovery. Chroma is rated 4.2/5 on G2.

Vespa is an AI-powered search platform for developing and operating large-scale applications that combine big data, vector search, machine-learned ranking, and real-time inference. Originally developed at Yahoo and spun out as an independent company in 2017, Vespa enables real-time AI applications like RAG, recommendation, and intelligent search at enterprise scale. The platform features native tensor support for complex ranking and decisioning, with capabilities including vector and tensor search with any number of vector fields, true positional text indexes with detailed text match features, and hybrid search combining structured filters, full-text retrieval, and vector similarity in a single query. Vespa can scale to billions of constantly changing data items, handling thousands of queries per second with latencies below 100 milliseconds. Based in Trondheim, Norway, Vespa raised $31M in Series A funding in November 2023.