paradedb
testcontainers-node
| paradedb | testcontainers-node | |
|---|---|---|
| 16 | 26 | |
| 3,962 | 1,693 | |
| 11.0% | 4.5% | |
| 9.8 | 8.4 | |
| 3 days ago | 7 days ago | |
| Rust | TypeScript | |
| 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.
testcontainers-node
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Multiple MongoDB Databases on Spring Boot
To be able to test for multiple databases, I recommend you using Testcontainers. That's my configuration to start the container:
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Show HN: I open-sourced the in-memory PostgreSQL I built at work for E2E tests
I don't get it either. Why not use something like https://testcontainers.com/?
- Utilizando Testcontainers para Testes de Integração com NestJS e Prisma ORM
- Testcontainers
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Rust Tooling: 8 tools that will increase your productivity
Testing with added infrastructure can be quite tricky. testcontainers aims to solve this by providing an open-source framework for providing local, lightweight containers for your application that can be immediately thrown away after use. It also has a Rust SDK!
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Run and test DynamoDB applications locally using Docker and Testcontainers
This is a good start. But DynamoDB Local is a great fit for Testcontainers which "is an open source framework for providing throwaway, lightweight instances of databases, message brokers, web browsers, or just about anything that can run in a Docker container."
- API completa em Golang - Parte 7
- We built our customer data warehouse all on Postgres
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Quarkus : Greener, Better, Faster, Stronger
Devservices supports the automatic provisioning of unconfigured third party services in development and test mode. They can be provided by extension leveraging (usually) TestContainer library.
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The day I started believing in Unit Tests (2023)
I hadn’t heard of Test Containers[1], but it looks really useful - thanks for the rec.
[1] https://testcontainers.com/
What are some alternatives?
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
nestjs-testing - Testing tutorial using NestJs
tantivy - Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust
Playwright - Playwright is a framework for Web Testing and Automation. It allows testing Chromium, Firefox and WebKit with a single API.
prism - Prism is the easiest way to develop, orchestrate, and execute data pipelines in Python.
jest - Delightful JavaScript Testing.
retake - PostgreSQL for Search [Moved to: https://github.com/paradedb/paradedb]
mocha - ☕️ simple, flexible, fun javascript test framework for node.js & the browser
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]
Cucumber.js - Cucumber for JavaScript
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
TestCafe - A Node.js tool to automate end-to-end web testing.