Firebird SQL vs Noms

Firebird SQL is ranked 4th in Open Source Databases vs Noms which is ranked 8th in Open Source Databases. Firebird SQL is most compared with PostgreSQL, MySQL and SQLite. Noms is most compared with Firebird SQL, SQLite and MySQL.
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Top Comparisons
Top Comparisons
Postgresql logo 555px
Compared 38% of the time.
Jt hjyjg 400x400
Compared 30% of the time.
Sqlite
Compared 18% of the time.
See more Firebird SQL competitors »
Firebirdsql
Compared 26% of the time.
Sqlite
Compared 24% of the time.
Jt hjyjg 400x400
Compared 15% of the time.
See more Noms competitors »
Website/Video
Website/VideoFirebird
  • Vendor 7297 screenshot 1524940546
Attic Labs
  • Vendor 30124 screenshot 1526753443
OverviewQuestionmark icon
OverviewFirebird is an open source SQL relational database management system that runs on Linux, Microsoft Windows, Mac OS X and a variety of Unix.

Noms is a decentralized database philosophically descendant from the Git version control system.

Like Git, Noms is:

Versioned: By default, all previous versions of the database are retained. You can trivially track how the database evolved to its current state, easily and efficiently compare any two versions, or even rewind and branch from any previous version.

Synchronizable: Instances of a single Noms database can be disconnected from each other for any amount of time, then later reconcile their changes efficiently and correctly.

Unlike Git, Noms is a database, so it also:

Primarily stores structured data, not files and directories (see: the Noms type system)

Scales well to large amounts of data and concurrent clients (TODO: benchmarks)

Supports atomic transactions (a single instance of Noms is CP, but Noms is typically run in production backed by S3, in which case it is "effectively CA")

Supports efficient indexes (see: Noms prolly-trees)

Features a flexible query model (see: GraphQL)

Finally, because Noms is content-addressed, it yields a very pleasant programming model.

Working with Noms is declarative. You don't INSERT new data, UPDATE existing data, or DELETE old data. You simply declare what the data ought to be right now. If you commit the same data twice, it will be deduplicated because of content-addressing. If you commit almost the same data, only the part that is different will be written.

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Sample Customers
Sample CustomersElekt Labs, Streamsoft, wobe-systems GmbH, DRB Systems, Moscow City Hospital #31
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