paradedb
Nuclia DB
| paradedb | Nuclia DB | |
|---|---|---|
| 16 | 3 | |
| 3,962 | 576 | |
| 11.0% | 3.0% | |
| 9.8 | 9.9 | |
| 4 days ago | 4 days ago | |
| Rust | Rust | |
| GNU Affero General Public License v3.0 | AGPL V3 |
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.
Nuclia DB
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Tantivy 0.20 is released: Schemaless column store, Schemaless aggregations, Phrase prefix queries, Percentiles, and more...
You have also NucliaDB that is built on top of tantivy and addresses vector search for documents and video search.
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Alternatives to Pinecone? (Vector databases) [D]
NucliaDB https://github.com/nuclia/nucliadb
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qdrant VS nucliadb - a user suggested alternative
2 projects | 18 Jul 2022
What are some alternatives?
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
tantivy - Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
prism - Prism is the easiest way to develop, orchestrate, and execute data pipelines in Python.
retake - PostgreSQL for Search [Moved to: https://github.com/paradedb/paradedb]
ByteDetective - The easiest way to search for images on your desktop 🔎
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]
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
Weaviate - Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.