matrixone
duckdb
Our great sponsors
matrixone | duckdb | |
---|---|---|
8 | 52 | |
1,676 | 16,576 | |
2.0% | 10.7% | |
10.0 | 10.0 | |
5 days ago | 6 days ago | |
Go | C++ | |
Apache License 2.0 | 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.
matrixone
-
Push or Pull, is this a question?
Source code:matrixorigin/matrixone: Hyperconverged cloud-edge native database (github.com)
- Matrixone - Hyperconverged cloud-edge native database
-
MatrixOne: a hyperconverged and one-size-fits-most database in Go
Github: https://github.com/matrixorigin/matrixone
-
MatrixCamp event is opening
MatrixCamp Event
- Matrixone – Hyperconverged cloud-edge native database
-
MatrixOne, a hyperconverged and one-size-fits-most database
For now, MatrixOne has just released its 0.3.0 version. MatrixOne is an open-source project, even if we still have a long way towards the final objective, we trust the power of the community and developers. So Welcome to check out our code at Github (https://github.com/matrixorigin/matrixone), and if you feel encouraged by our ideology, you are most welcome for your contribution!
-
MatrixOne: an open source Golang-developed planet scale big data engine crafted for heterogeneous workloads.
Hi, I'd like to introduce the project I'm working on. MatrixOne is a unified database designed to support transactional, analytical, and streaming workloads in a single database. The MOST-IN-ONE architecture simplifies the process of hand-crafting a big data platform. You can checkout the project at github [MatrixOne].(https://github.com/matrixorigin/matrixone)
duckdb
- 🪄 DuckDB sql hack : get things SORTED w/ constraint CHECK
- DuckDB: Move to push-based execution model (2021)
-
DuckDB performance improvements with the latest release
I'm not sure if the fix is reassuring or not: https://github.com/duckdb/duckdb/pull/9411/files
-
Building a Distributed Data Warehouse Without Data Lakes
It's an interesting question!
The problem is that the data is spread everywhere - no choice about that. So with that in mind, how do you query that data? Today, the idea is that you HAVE to put it into a central location. With tools like Bacalhau[1] and DuckDB [2], you no longer have to - a single query can be sharded amongst all your data - EFFECTIVELY giving you a lot of what you want from a data lake.
It's not a replacement, but if you can do a few of these items WITHOUT moving the data, you will be able to see really significant cost and time savings.
[1] https://github.com/bacalhau-project/bacalhau
[2] https://github.com/duckdb/duckdb
- DuckDB 0.9.0
-
Push or Pull, is this a question?
[4] Switch to Push-Based Execution Model by Mytherin · Pull Request #2393 · duckdb/duckdb (github.com)
-
Show HN: Hydra 1.0 – open-source column-oriented Postgres
it depends on your query obviously.
In general, I did very deep benchmarking of pg, clickhouse and duckdb, and I sure didn't make stupid mistakes like this: https://news.ycombinator.com/item?id=36990831
My dataset has 50B rows and 2tb of data, and I think columnar dbs are very overhiped and I chose pg because:
- pg performance is acceptable, maybe 2-3x times slower than clickhouse and duckdb on some queries if pg is configured correctly and run on compressed storage
- clickhouse and duckdb start falling apart very fast because they specialized on very narrow type of queries: https://github.com/ClickHouse/ClickHouse/issues/47520 https://github.com/ClickHouse/ClickHouse/issues/47521 https://github.com/duckdb/duckdb/discussions/6696
-
🦆 Effortless Data Quality w/duckdb on GitHub ♾️
This action installs duckdb with the version provided in input.
-
Using SQL inside Python pipelines with Duckdb, Glaredb (and others?)
Duckdb: https://github.com/duckdb/duckdb - seems pretty popular, been keeping an eye on this for close to a year now.
-
CSV or Parquet File Format
The Parquet-Go library is very complex, not yet success to use it. So I ask whether DuckDB can provide API https://github.com/duckdb/duckdb/issues/7776