terminusdb
dolt
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terminusdb | dolt | |
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51 | 91 | |
2,596 | 16,676 | |
1.4% | 2.1% | |
9.1 | 10.0 | |
12 days ago | 29 minutes ago | |
Prolog | Go | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
terminusdb
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Ask HN: What is new in Algorithms / Data Structures these days?
How about some succinct data structures and delta encoding for modern databases [1]. Succinct data structures are a family of data structures which are close in size to the information theoretic minimum representation (while still being queryable).
[1] https://github.com/terminusdb/terminusdb/blob/dev/docs/white...
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Datomic Is Now Free
There are already a few open-source alternatives that run datalog variant query languages. I'd point the curious towards TerminusDB [1] and TypeDB [2]. TerminusDB is implemented in prolog (and rust) so an alternative with datalog in the heart.
There are already some open source alternatives to datomic. TerminusDB (https://github.com/terminusdb/terminusdb) for example is implemented in prolog (and Rust) so has the datalog variant query power that makes datomic so powerful. If you want free as in speech (thou I love free beer).
- Show HN: TerminusCMS – Headless CMS for Devs
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Help with some python DB client installation errors please
Hey, I'm trying to install TerminusDB. They have the python client installation instructions here
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Is there a terminusdb package?
Hi, I wanted to check if there's a NixOS package for TerminusDB
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Rust Database - Ranking | OSS Insight
terminusdb
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TerminusDB - Now with GraphQL
Head on over to GitHub for a full list of enhancements and bug fixes.
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free-for.dev
TerminusX — Managed free service for TerminusDB, a document and graph database written in Prolog and Rust. Free for dev, paid service for enterprise deployments and support.
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My ultimate/dream language -- tldr; LP/FP typed prolog
As someone interested in prolog (and co-founder of terminusdb.com) I can sympathise a lot with your laundry list there :D Lack of type and mode annotations is a hassle on small programmes, and a serious problem on large ones just from the point of view of avoiding bugs, without even getting into performance.
dolt
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What I Talk About When I Talk About Query Optimizer (Part 1): IR Design
We implemented a query optimizer with a flexible intermediate representation in pure Go:
https://github.com/dolthub/go-mysql-server
Getting the IR correct so that it's both easy to use and flexible enough to be useful is a really interesting design challenge. Our primary abstraction in the query plan is called a Node, and is way more general than the IR type described in the article from OP. This has probably hurt us: we only recently separated the responsibility to fetch rows into its own part of the runtime, out of the IR -- originally row fetching was coupled to the Node type directly.
This is also the query engine that Dolt uses:
https://github.com/dolthub/dolt
But it has a plug-in architecture, so you can use the engine on any data source that implements a handful of Go interface.
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Show HN: DoltgreSQL – Version-Controlled Database, Like Git and PostgreSQL
At the moment, it does not exist for DoltgreSQL as it is in pre-alpha. Dolt (https://github.com/dolthub/dolt), however, may be a better fit for your use case.
> Do you have a clear position on which PostgreSQL features not to support? I suppose there are more than just some things that won't make the cut because of the architectural decisions.
While I unnderstand the decision, I'm not sure it's the best way to go about it. If you only emulate a subset of PostgreSQL's syntax and features, few people will be compelled to switch because they might be afraid.
Eventually, we'd like to support the entirety of PostgreSQL's feature set, even including features like extensions. Dolt (https://github.com/dolthub/dolt), our first product, is the same to MySQL and DoltgreSQL is to Postgres, and we're taking a no-compromises approach to what we support. That, of course, means that there are a lot of features that need to be implemented, but Dolt is already almost there. For the majority of customers, Dolt has implemented everything they need from MySQL.
I'd definitely recommended checking out how Dolt compares with MySQL to see how we're approaching compatibility. All behavior, implicit and explicit, is something that we aim to model, and any deviations are considered bugs that we need to fix. There are exceptions, but those are only used when we feel it's for good reason (an example being how MySQL handles collation cascading in some circumstances).
> Have you guys already encountered some things in the PostgreSQL engine that just behave a bit differently from Dolt's engine? If so, what was your approach to mitigate it?
With DoltgreSQL, it's at an extremely early stage. We're still working on getting the basic functionality working before we rigorously start testing to make sure that we match PostgreSQL's behavior. However, we can point to our approach with Dolt and MySQL for how we plan to handle DoltgreSQL and PostgreSQL. For every feature we implement, we compare the functionality with what is written in MySQL's documentation as a baseline. From there, we move on to comparing the output across a range of input statements. Sometimes the documentation differs from MySQL's own results, and we then try to find out why that's the case (Configuration? Out of date documentation? Bug? etc.).
We also use external benchmarks to measure our correctness versus MySQL. In one such benchmark, containing around 6 million tests, Dolt recently reached 99.99% compared to MySQL (https://www.dolthub.com/blog/2023-10-11-four-9s-correctness/).
I hope this answered your questions! Let me know if you have any more :)
Just want to point out that we're announcing development on the project. It's absolutely not ready for mainstream use yet! We have Dolt (https://github.com/dolthub/dolt) which is production-ready and widely in use, but it uses MySQL's syntax and wire protocol. We are building the Dolt equivalent for PostgreSQL, which is DoltgreSQL, but it's only pre-alpha.
The engine is free and open-source. You can buy support, but these are free products.
https://github.com/dolthub/dolt
In fact, we've got a blog post about Dolt and Wordpress.
We don't really compete with Flyway and Bytebase. Schema migrations are but one aspect of a versioned database. We version everything, from the schema to the data. You can read more here:
https://www.dolthub.com/blog/2022-08-04-database-versioning/
A lot of products have come out that attempt to tackle schema versioning, but none have tackled data versioning before Dolt (https://github.com/dolthub/dolt). In addition, our database isn't forked, it's a full, bespoke solution that can operate as a drop-in replacement for MySQL (Dolt) or PostgreSQL (DoltgreSQL). It's honestly quite exciting technology, so definitely feel free to ask any more questions if you're curious to learn more!
Here is a link to a few use cases as well:
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Pg_branch: Pre-alpha Postgres extension brings Neon-like branching
Interesting that branching is now better supported and almost free. I wonder if merging can be simplified or whether it already is as simple and as fast as it can be?
I guess I am inspired by Dolt’s ability to branch and merge: https://github.com/dolthub/dolt
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SQLedge: Replicate Postgres to SQLite on the Edge
#. SQLite WAL mode
From https://www.sqlite.org/isolation.html https://news.ycombinator.com/item?id=32247085 :
> [sqlite] WAL mode permits simultaneous readers and writers. It can do this because changes do not overwrite the original database file, but rather go into the separate write-ahead log file. That means that readers can continue to read the old, original, unaltered content from the original database file at the same time that the writer is appending to the write-ahead log
#. superfly/litefs: aFUSE-based file system for replicating SQLite https://github.com/superfly/litefs
#. sqldiff: https://www.sqlite.org/sqldiff.html https://news.ycombinator.com/item?id=31265005
#. dolthub/dolt: https://github.com/dolthub/dolt
> Dolt can be set up as a replica of your existing MySQL or MariaDB database using standard MySQL binlog replication. Every write becomes a Dolt commit. This is a great way to get the version control benefits of Dolt and keep an existing MySQL or MariaDB database.
#. pganalyze/libpg_query: https://github.com/pganalyze/libpg_query :
> C library for accessing the PostgreSQL parser outside of the server environment
#. Ibis + Substrait [ + DuckDB ]
> ibis strives to provide a consistent interface for interacting with a multitude of different analytical execution engines, most of which (but not all) speak some dialect of SQL.
> Today, Ibis accomplishes this with a lot of help from `sqlalchemy` and `sqlglot` to handle differences in dialect, or we interact directly with available Python bindings (for instance with the pandas, datafusion, and polars backends).
> [...] `Substrait` is a new cross-language serialization format for communicating (among other things) query plans. It's still in its early days, but there is already nascent support for Substrait in Apache Arrow, DuckDB, and Velox.
#. benbjohnson/postlite: https://github.com/benbjohnson/postlite
> postlite is a network proxy to allow access to remote SQLite databases over the Postgres wire protocol. This allows GUI tools to be used on remote SQLite databases which can make administration easier.
> The proxy works by translating Postgres frontend wire messages into SQLite transactions and converting results back into Postgres response wire messages. Many Postgres clients also inspect the pg_catalog to determine system information so Postlite mirrors this catalog by using an attached in-memory database with virtual tables. The proxy also performs minor rewriting on these system queries to convert them to usable SQLite syntax.
> Note: This software is in alpha. Please report bugs. Postlite doesn't alter your database unless you issue INSERT, UPDATE, DELETE commands so it's probably safe. If anything, the Postlite process may die but it shouldn't affect your database.
#. > "Hosting SQLite Databases on GitHub Pages" (2021) re: sql.js-httpvfs, DuckDB https://news.ycombinator.com/item?id=28021766
#. awesome-db-tools https://github.com/mgramin/awesome-db-tools
- How do you sync dev databases across multiple devices?
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Ask HN: Data Management for AI Training
If you are just looking for data versioning there is Dolt:
https://github.com/dolthub/dolt
And that has a user-friendly UI in DoltHub:
You wouldn't store the images themselves in Dolt, those would likely be links to S3 but al the labels and surrounding metadata could be stored in Dolt?
DISCLAIMER: I'm the CEO of DoltHub so this is self-promotion.
What are some alternatives?
liquibase - Main Liquibase Source
absurd-sql - sqlite3 in ur indexeddb (hopefully a better backend soon)
noms - The versioned, forkable, syncable database
TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
vitess - Vitess is a database clustering system for horizontal scaling of MySQL.
temporal_tables - Temporal Tables PostgreSQL Extension
immudb - immudb - immutable database based on zero trust, SQL/Key-Value/Document model, tamperproof, data change history
Apache Calcite - Apache Calcite
datahike - A durable Datalog implementation adaptable for distribution.
Publii - The most intuitive Static Site CMS designed for SEO-optimized and privacy-focused websites.
moonfire-nvr - Moonfire NVR, a security camera network video recorder
Hasura - Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.