influxdb_iox
polars
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| influxdb_iox | polars | |
|---|---|---|
| 14 | 144 | |
| 1,803 | 25,837 | |
| - | 5.3% | |
| 9.9 | 10.0 | |
| 7 months ago | 6 days ago | |
| Rust | Rust | |
| 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.
influxdb_iox
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InfluxDB 3.0 Infinite Observability with qryn-iox
Watch out for the AGPL minio <https://github.com/metrico/iox-community/blob/155a14bb5e8e32...> the almost certainly AGPL grafana <https://github.com/grafana/grafana/blob/v10.1.1/LICENSE> and always eye anyone who uses :latest images with healthy suspicion
That said, influx_iox itself appears to be Apache 2 (and/or MIT?) https://github.com/influxdata/influxdb_iox/blob/main/LICENSE...
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InfluxDB 3 is out, OSS commits have been tried up - is this the end?
have you looked at https://github.com/influxdata/influxdb_iox ? that's where the development for the new version is done.
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InfluxData releases InfluxDB 3.0 product suite for time series analytics
As I understand, InfluxDB 3 is just a re-branding of InfluxDB IOx. Then its' performance can be not very good comparing to Prometheus-like systems.
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Production grade databases in Rust
InfluxDB iox
- Anyone had a success story of replacing C++ with Go?
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InfluxDB announces their new storage engine written in Rust
Don't know how much is open or closed, but they were doing some development in the open: https://github.com/influxdata/influxdb_iox
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Welcome to InfluxDB IOx: InfluxDataโs New Storage Engine
Just want to say congratulations to the team!
2 years and 9,500+ commits is a hell of a feat.
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Rust is showing a lot of promise in the DataFrame / tabular data space
Already is: https://github.com/influxdata/influxdb_iox Just still a work in progress.
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Anyone using RDS IAM authentication in their app?
It looks like this crate is the workaround for that. But there's a PR on SQLX opened a couple days ago that will fix the issue.
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Rust and what it needs to gain space in computation-oriented applications
You should check out polars, datafusion, influxdb iox and databend, all written in native Rust and powered by the Apache Arrow format. Polars in particular is pretty dam fast and has bindings for Python.
polars
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Why Python's Integer Division Floors (2010)
This is because 0.1 is in actuality the floating point value value 0.1000000000000000055511151231257827021181583404541015625, and thus 1 divided by it is ever so slightly smaller than 10. Nevertheless, fpround(1 / fpround(1 / 10)) = 10 exactly.
I found out about this recently because in Polars I defined a // b for floats to be (a / b).floor(), which does return 10 for this computation. Since Python's correctly-rounded division is rather expensive, I chose to stick to this (more context: https://github.com/pola-rs/polars/issues/14596#issuecomment-...).
- Polars
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Stuff I Learned during Hanukkah of Data 2023
That turned out to be related to pola-rs/polars#11912, and this linked comment provided a deceptively simple solution - use PARSE_DECLTYPES when creating the connection:
- Polars 0.20 Released
- Segunda linguagem
- Polars: Dataframes powered by a multithreaded query engine, written in Rust
- Summing columns in remote Parquet files using DuckDB
- Polars 0.34 is released. (A query engine focussing on DataFrame front ends)
What are some alternatives?
arrow-datafusion - Apache DataFusion SQL Query Engine
vaex - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second ๐
databend - ๐๐ฎ๐๐ฎ, ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ & ๐๐. Modern alternative to Snowflake. Cost-effective and simple for massive-scale analytics. https://databend.com
modin - Modin: Scale your Pandas workflows by changing a single line of code
TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
db-benchmark - reproducible benchmark of database-like ops
DataFrames.jl - In-memory tabular data in Julia
mimir - โก Supercharged Flutter/Dart Database
datatable - A Python package for manipulating 2-dimensional tabular data structures
orioledb - OrioleDB โ building a modern cloud-native storage engine (... and solving some PostgreSQL wicked problems) ย ๐บ๐ฆ
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing