Chroma
Open-source vector database with a managed cloud. Offers vector, keyword, and regex search with simple client libraries, usage-based pricing, and team plans for production apps.
Anyscale
Fully managed Ray platform for building and running AI workloads with pay as you go compute, autoscaling clusters, GPU utilization tools and $100 get started credit.
Feature Tags Comparison
Only in Chroma
Shared
Only in Anyscale
Key Features
Chroma
- • Open-source core with identical APIs on managed Cloud
- • Vector
- • keyword
- • and regex search for hybrid retrieval
- • Usage-based pricing with a $0 starter and team plan
- • Simple client libraries and docs for quick prototyping
Anyscale
- • Managed Ray clusters with autoscaling and placement policies
- • High GPU utilization via pooling and queue aware scheduling
- • Model serving endpoints with rolling updates and canaries
- • Ray compatible APIs so existing code ports quickly
- • Observability and cost tracking across jobs and users
- • Environment images with Python CUDA and dependency control
Use Cases
Chroma
- → RAG backends for chat and agents with hybrid filters
- → Semantic search for docs
- → notes
- → and support portals
- → Product search blending vector and keywords for relevance
- → Analytics on unstructured text with metadata slicing
Anyscale
- → Scale fine tuning and batch inference on pooled GPUs
- → Port Ray pipelines from on prem to cloud with minimal edits
- → Serve real time models with canary and rollback controls
- → Run retrieval augmented generation jobs cost efficiently
- → Consolidate ad hoc notebooks into governed projects
- → Share clusters across teams with quotas and budgets
Perfect For
Chroma
developers data engineers and platform teams building RAG search and analytics who need an OSS path and a managed cloud with predictable pricing
Anyscale
ml engineers data scientists and platform teams that want Ray without managing clusters and need efficient GPU utilization with observability and controls
Capabilities
Chroma
Anyscale
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