paradedb
postgres_lsp
paradedb | postgres_lsp | |
---|---|---|
16 | 6 | |
3,962 | 3,134 | |
11.0% | 0.6% | |
9.8 | 9.2 | |
4 days ago | 12 days ago | |
Rust | Rust | |
GNU Affero General Public License v3.0 | MIT License |
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.
paradedb
- Using ClickHouse to scale an events engine
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Code Search Is Hard
Elasticsearch is good, and it does scale, but it is much more cumbersome and expensive to scale and operate than Postgres. If you use the managed service, you'll pay for the operational pain in the form of higher pricing.
The Postgres movement is strong and extensions like ParadeDB https://github.com/paradedb/paradedb are designed specifically to solve this pain point (Disclaimer: I work for ParadeDB)
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Ask HN: Best way to mirror a Postgres database to parquet?
No timeline yet, but we know it's a high-priority feature and are working hard on it. Best way would be to join our Slack (link here: https://github.com/paradedb/paradedb/blob/dev/README.md) to follow along. It will be in the coming weeks/months, though.
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Transforming Postgres into a Fast OLAP Database
You're right. We're working on this currently. You can track the issue here: https://github.com/paradedb/paradedb/issues/717
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We built our customer data warehouse all on Postgres
There are definitely ways to cleanly make Postgres scale for analytics. We didn't discuss in this blog, but we will be writing about them in the future. For example, check out what the folks at ParadeDB are doing. https://github.com/paradedb/paradedb. Neon is doing an awesome job separating compute from storage. Supabase contributed foreign data wrappers make it super easy to read from S3 into Postgres. Lots of great work going out there :)
- Show HN: Pg_analytics – Speed Up Postgres Analytical Queries by 94x
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Multi-Database Support in DuckDB
Check out https://github.com/paradedb/paradedb/tree/dev/pg_analytics, we're shipping this week
- ParadeDB – PostgreSQL for Search
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Postgresql index
Shameless plug, but I'm one of the makers of `pg_bm25` (https://github.com/paradedb/paradedb). We're making a faster tsvector/tsrank as a Postgres extension. Maybe it can help, our benchmarks show much faster performance especially as row count increases
- Building an open source vector database. Looking for advice.
postgres_lsp
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We built our customer data warehouse all on Postgres
Thank you for turning me on top Cornucopia, it looks awesome. I've used the very similar aiosql in Python, but I hadn't realized there was a Rust analog.
To tell the truth I've been waiting for postgres_lsp to mature before trying it out, but based on this example [1] I think it does support multiple queries.
Since it uses a parser extracted from Postgres, the nonstandard syntax would probably trip it up, but there's probably a way to fix that.
[1] https://github.com/supabase/postgres_lsp/blob/main/example/f...
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compile-time SQL validations and type generation in TypeScript & Node
Cool. How does this compare to SafeQL, PgTyped, and Postgres language server ?
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Supabase Local Dev: migrations, branching, and observability
While code editors have great support for most programming languages, SQL support is underwhelming. We want to make Postgres as simple as Python. Our recently announced Postgres Language Server takes us a step in that direction - eventually it will provide first-class support for Postgres in your favorite code editor including Linting, Syntax Highlighting, Migrations Parsing, SQL Auto-complete, and Intellisense.
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Hugging Face is now supported in Supabase
Postgres Language Server
- Show HN: Postgres Language Server
What are some alternatives?
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
pspg - Unix pager (with very rich functionality) designed for work with tables. Designed for PostgreSQL, but MySQL is supported too. Works well with pgcli too. Can be used as CSV or TSV viewer too. It supports searching, selecting rows, columns, or block and export selected area to clipboard.
tantivy - Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust
edge-runtime - A server based on Deno runtime, capable of running JavaScript, TypeScript, and WASM services.
prism - Prism is the easiest way to develop, orchestrate, and execute data pipelines in Python.
vecs - Postgres/pgvector Python Client
retake - PostgreSQL for Search [Moved to: https://github.com/paradedb/paradedb]
basejump - Teams, personal accounts, permissions and billing for your Supabase app
bionicgpt - BionicGPT is an on-premise replacement for ChatGPT, offering the advantages of Generative AI while maintaining strict data confidentiality [Moved to: https://github.com/bionic-gpt/bionic-gpt]
declarative-schemas
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
supabase-test-helpers - Test helpers for pgTAP and Supabase