Implementing a Merkle Tree for an Immutable Verifiable Log

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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.

  • It iterates through all revisions of a node and returns the node and the revision (and we could also add the author) when it has been updated.

    To make this even easier I could write a native Java function for use in the query.

    [1] https://sirix.io

  • brackit

    Query processor with proven optimizations, ready to use for your JSON store to query semi-structured data with JSONiq. Can also be used as an ad-hoc in-memory query processor.

  • Basically JSONiq, with a few minor syntax differences.

    Our query engine/compiler is and can be used by other data stores as well:

    http://brackit.io

  • 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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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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