Chroma vs Zvec
Chroma
trychroma.comZvec
zvec.orgSide by side
| Figure | Chroma | Zvec |
|---|---|---|
| Price from | $250/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | Yes | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| iOS | Yes | Yes |
| Android | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 1 |
| Spec score · Vector Databases | 9.4 (#1) | 7.5 (#20) |
| Support | The pricing page lists Community Slack for Starter, Slack support for Team, and dedicated support for Enterprise. | The documentation directs users to report issues on GitHub and lists community channels including DingTalk, WeChat, Discord, and X. |
| What it does | ChromaDB is open-source search infrastructure for AI applications, combining vector, full-text, regex, and metadata search. | Zvec is an open-source, in-process vector database for indexing and querying vectors without a server, daemon, or external infrastructure. |
Plans
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.
Zvec
Zvec is an open-source, in-process vector database for indexing and querying vectors locally without a server or external infrastructure. It supports dense and sparse vectors, full-text search, and hybrid retrieval with structured filters. Listed index types include Flat, HNSW, IVF, and DiskANN, with RaBitQ variants also available; quantization options include FP16, INT8, INT4, RaBitQ, and PQ. Write-ahead logging provides persistence across process crashes or power failures. Multiple processes can read a collection at once, while writes are exclusive to one process. SDKs are listed for Python, Node.js, Go, Rust, Dart/Flutter, C, and C++. The README lists Linux, macOS, and Windows support, and prebuilt SDK binaries are published for Android and iOS as well. Named integrations include Logseq, MyContext, ReMe, txtai, and CocoIndex. The maker presents Zvec for application developers working on prototyping, local development, embedded and edge applications, or production systems. Its product family also includes Zvec-Grep, a local search CLI and MCP tool for code, documentation, and text-based data. It is available free under the Apache License 2.0.