Chroma vs Vespa
Chroma
trychroma.comVespa
vespa.aiSide by side
| Figure | Chroma | Vespa |
|---|---|---|
| Price from | $250/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | Yes | Yes |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 7 |
| Spec score · Ai Databases | 9.4 (#1) | 8.7 (#5) |
| Spec score · Vector Databases | 9.4 (#1) | 8.8 (#3) |
| Spec score · Search Databases | 9.3 (#2) | 8.7 (#5) |
| Spec score · Database Software | 8.7 (#20) | 8.8 (#17) |
| Company legal name | The terms identify the service provider as Chroma Inc. | The Norwegian business registry lists the company as VESPA.AI AS. |
| Deployment | The maker says Chroma can run locally with pip, npm, or Docker, on Chroma Cloud, or in a customer’s own VPC. | Vespa can be self-managed, run with the Vespa Kubernetes Operator, or deployed on Vespa Cloud. |
| Documentation depth | The docs cover quickstarts, SDK references, cloud clients, deployment, Docker, production client-server mode, performance and migrations. | Vespa documentation is organized into guides, tutorials, and reference material covering features and APIs. |
| Free plan | Yes | No |
| Licence | Chroma is released under the Apache 2.0 licence. | The Vespa repository states that its code is licensed under Apache 2.0. |
| Search | Chroma supports dense, sparse, and hybrid vector search, full-text and regex search, and metadata filtering. | Vespa supports vector and tensor search, positional text search, and search over structured data. |
| Security | Chroma Cloud says customer data is encrypted in transit and at rest and that access controls include SSO, role-based access control, and employee MFA. | The Vespa Cloud security guide describes data-plane requests protected with mutual TLS or, optionally, tokens, and says Vespa.ai has a SOC 2 attestation. |
| Self-hosting | A Chroma server can run locally or in Docker and can be deployed on AWS, GCP, Azure and other cloud providers. | The public repository contains the code needed to build and run Vespa, and the documentation covers self-managed deployments. |
| Support | The pricing page lists Community Slack for Starter, Slack support for Team, and dedicated support for Enterprise. | The Startup plan includes community support only with no SLA; Cloud plans list unlimited support cases, with response times varying by plan. |
| What it does | ChromaDB is open-source search infrastructure for AI applications, combining vector, full-text, regex, and metadata search. | Vespa is a data platform for storing, searching, and processing large structured and unstructured datasets with real-time indexing, filtering, recommendations, and personalization. |
Plans
Vespa
- StartupPrice not published
- BasicPrice not published
- CommercialPrice not published
- EnterprisePrice not published
- StartupFree
- Enterprise *$0.18 a month
- Self ManagedPriced on request
In their own words
Chroma
Chroma is open-source infrastructure for storing embeddings and metadata, then searching and retrieving information across text, images, and other modalities. Search options include dense, sparse, and hybrid vector search, plus full-text and regex search and metadata filtering. It can run locally through pip, npm, or Docker, on Chroma Cloud, or in a customer’s own VPC. The maker says its Apache 2.0-licensed codebase powers both the open-source database and Chroma Cloud. Documented integrations include embedding providers such as OpenAI, Cohere, Google Gemini, Hugging Face, Jina AI, and Ollama, and frameworks such as LangChain, LlamaIndex, Haystack, Streamlit, and DeepEval. Cloud security features include encryption in transit and at rest, SSO, role-based access control, and employee MFA; Chroma Cloud has completed a SOC 2 Type II examination. Starter is free, with 10 databases and 10 team members. Team is $250 a month plus usage and includes $100 credits, 100 databases, and 30 team members.
Vespa
Vespa is an AI search platform for online applications that use data, retrieval, ranking, machine-learning inference, and real-time serving. It supports vector and tensor search, positional text search, and queries over structured data. Ranking signals can be combined with tensor functions or machine-learned models, including ONNX and XGBoost formats; model inference can use ONNX Runtime. Vespa distributes functions across node clusters and allows cluster size changes without affecting queries or writes. Teams can self-manage deployments, use the Vespa Kubernetes Operator, or run on Vespa Cloud. Local deployment guidance lists Linux, macOS, and Windows 10 Pro on x86_64 or arm64 with Docker Desktop or Podman Desktop. Vespa Cloud includes encryption at rest and in transit, certificates for nodes and endpoints, and automatic operating system patching. Its trial provides $300 in credits without requiring a credit card, then stops the application when credits are used. Cloud plans have quotas, and Startup is limited to development zones. Pricing is listed from $0.05 a month, with metered resource rates.