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An online music database is a searchable collection of structured information about music. It can connect artists, songs, recordings, albums, releases, labels, credits, and other details so you can identify music, explore discographies, or reuse metadata in an app. It is not necessarily a place to play or download music.
What information does an online music database contain?
The records depend on the service. A database may describe an artist, a composition (the underlying musical work), a particular recording, an album or other release, its tracks, label, credits, and identifiers. It may also link these records together—for example, connecting an artist to a recording and that recording to the release on which it appeared.
Those distinctions matter when the same song appears in several versions or on multiple releases. A composition, a performance of it, and a particular edition of an album are related, but they are not necessarily the same database record.
MusicBrainz describes a structured catalogue with entities such as artists, recordings, release groups, releases, works, and labels. Its documentation explains the database’s scope at MusicBrainz Database.
Is a music database the same as a streaming service?
No. A music database organizes information about music; a streaming service provides audio playback. The functions can exist in the same product, but one does not imply the other. MusicBrainz explicitly says that it does not store or provide access to music recordings: it supplies information about them. That statement applies to MusicBrainz, not automatically to every service. See MusicBrainz’s description of its service.
What kinds of online music databases are there?
Structured metadata catalogues
These organize music into defined record types and relationships, which can help people distinguish entities or help software retrieve metadata. MusicBrainz is a community-maintained example, and its API documentation describes searching and looking up entities including artists, recordings, releases, release groups, labels, and works: MusicBrainz API.
Discography and release databases
These focus on recordings and the releases they appeared on, often with detailed edition and format information. The Library of Congress describes Discogs as a crowdsourced database covering commercial, promotional, bootleg, and off-label audio releases. It also operates as a marketplace, so its database and commerce functions are distinct even though they coexist. See the Library of Congress description of Discogs.
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Editorial music references
Some services emphasize written context and guidance about albums, bands, musicians, and songs rather than primarily providing structured identifiers for data reuse. AllMusic describes itself as a comprehensive resource for that kind of music information: About AllMusic.
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These are useful ways to distinguish common approaches, not an exhaustive or official classification. A service may combine features, and no single database should be assumed to cover every artist, genre, region, or release.
What can you use a music database for?
- Look up an artist or album: Search for a name, then follow linked records to related recordings, works, releases, labels, or track listings.
- Tell editions apart: Where the catalogue records the needed detail, compare versions, mixes, reissues, territories, or physical formats rather than treating every album listing as identical.
- Manage music files: MusicBrainz Picard can look up metadata using details such as artist and song name, a CD disc ID, or an audio fingerprint. It is a tagging application that uses music information, not the database itself. Its documentation is at MusicBrainz Picard documentation.
- Build or connect software: An API can let an application search or retrieve records programmatically. Check the specific service’s API documentation and terms before relying on it.
Why do identifiers and relationships matter?
Names alone can be ambiguous: artists may share a name, a recording can have several releases, and a work may have multiple performances. Linked records and stable identifiers help distinguish those entities and refer to them consistently. MusicBrainz says its identifiers are 36-character UUIDs assigned to entities including artists, releases, recordings, works, and labels. That is a MusicBrainz convention; other databases may use different identifiers or none. See MusicBrainz identifiers.
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How should you choose a database for a task?
Start with what you need to find or do. Then check whether the service’s coverage, detail, contribution model, and access options suit that task.
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- Coverage: Does it include the genres, regions, artists, and kinds of music you care about?
- Granularity: Can it distinguish a recording from a composition, and separate editions, formats, or versions when that matters?
- Relationships and identifiers: Can you move between related records or cite a stable identifier?
- Contribution and review: Is information community-contributed, editorially curated, or a mixture? Are revisions or change history visible?
- Access and reuse: Is there a search interface, API, or data download? Check the current terms for the particular data and intended use.
- Purpose: Is your priority discography research, editorial context, collection management, file tagging, or software integration?
Licensing may differ across a database’s data. MusicBrainz says most of its data is published under CC0, while remaining data uses CC BY-NC-SA 3.0, and it directs commercial users to licensing information. Do not assume that every field or every use is unrestricted; consult its current data license information for the data and use you have in mind.
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