Endatabas: A SQLite-inspired, SQL document database with full history

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • sirix

    SirixDB is an an embeddable, bitemporal, append-only database system and event store, storing immutable lightweight snapshots. It keeps the full history of each resource. Every commit stores a space-efficient snapshot through structural sharing. It is log-structured and never overwrites data. SirixDB uses a novel page-level versioning approach.

  • I'm working on something similar for the JVM, however with no document semantics, but on a much more fine granular level.

    JSON is shredded during an initial import into a tree structure with fine granular nodes. Thus, an import can be done with very low memory consumption (permitted that auto-commit issues a sync to disk before RAM space is exceeded). Furthermore, it doesn't require a WAL for consistency. Instead the indexes are stored in a log-structure using a persistent tree (as in every commit creates a new tree root). A sliding snapshot algorithm makes sure, that only a fragment of a page has to be copied on a write.

    As thus, it's also a perfect candidate for an event store, storing both the (lightweight) snapshots and tracking the changes optionally.

    https://github.com/sirixdb/sirix

    The architecture is described over here:

    https://sirix.io/docs/concepts.html

    Furthermore I'm working on a tutorial for a local client usage (work in progress):

    https://sirix.io/docs/jsoniq-tutorial.html

    Kind regards

  • xtdb

    An immutable database for application development and time-travel data compliance, with SQL and XTQL. Developed by @juxt

  • it's bitemporal, will be SQL-compatible, and also has another query-language - XTQL :

    https://github.com/xtdb/xtdb/tree/2.x/dev/xtql

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • marketing

    A very disorderly marketing repo. (by endatabas)

  • I think the documentation you're looking for is here:

    https://docs.endatabas.com/sql/path_navigation.html

    I've just pushed a change mentioning that paths can be used in both SELECT and WHERE clauses. Sorry for the ambiguity.

    For example:

    `select * from stores where addresses[0].city = 'New Jersey';`

    ...can be used on the demo data, found here:

    https://www.youtube.com/watch?v=oDHGjUMqPvI&t=140s - demo

    https://github.com/endatabas/marketing/tree/main/2023-09-dem... - code

    HTH!

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