OramaSearch

license

Apache-2.0(OSI)

source

public

core features withheld

no

Orama's Apache-2.0 core is public, unarchived and builds the whole engine, with no paid tier or enterprise edition gating it. Orama Cloud is a separately sold hosted service rather than a piece withheld from the published engine.

• https://api.github.com/repos/oramasearch/orama recorded 2026-09-02

  Repo metadata - license spdx_id NOASSERTION, private false, archived false, default branch main - for oramasearch/orama.

• https://github.com/oramasearch/orama/blob/main/LICENSE.md recorded 2026-10-07

  LICENSE.md is the verbatim Apache-2.0 text under a copyright 2023 OramaSearch Inc. line, which is why the GitHub API reports NOASSERTION rather than Apache-2.0.

• https://github.com/oramasearch/orama/blob/main/README.md recorded 2026-10-07

  README describes a complete full-text, vector and hybrid search engine that runs embedded in the browser, server or edge network, with no paid tier, enterprise edition or license-key-gated build beside the Apache-2.0 engine, only a separately sold Orama Cloud service.

Orama's adoption reading comes directly from npm downloads of the `@orama/orama` package, since Orama ships as an embeddable library with no separate server, so the package is the product itself rather than a client to one. This is a direct signal of use, though it counts only npm installs and not other embedding channels.

• https://api.npmjs.org/downloads/point/last-month/@orama/orama recorded 2026-09-02

  downloads = 5,371,921 for @orama/orama over 2026-07-31 to 2026-08-29.

Orama indexes and persists documents itself across full-text, vector and hybrid retrieval modes, running single-node with no built-in clustering or replication. That puts it alongside pgvector: both provide several retrieval modes over storage they manage themselves, but neither reaches the distributed, cluster-capable systems at the top of the category.

• https://github.com/oramasearch/orama/blob/main/README.md recorded 2026-10-07

  README documents a single-node, embeddable full-text, vector and hybrid search engine with its own document and index storage, and no distributed cluster mode.