Ibis OmniSciDB backend
Project description
Ibis OmniSciDB backend
Ibis is a Python framework to write data analytics code, in a similar way to pandas. Ibis can execute the queries not only in memory (as pandas does), but in different backends, including SQL databases, and analytics databases, like OmniSciDB.
OmniSciDB is SQL-based, relational, columnar and specifically developed to harness the massive parallelism of modern CPU and GPU hardware. OmniSciDB can query up to billions of rows in milliseconds, and is capable of unprecedented ingestion speeds, making it the ideal SQL engine for the era of big, high-velocity data.
Install
You can install ibis-omniscidb via pip or
conda:
Install with pip:
pip install ibis-omniscidb
Install with conda:
conda install -c conda-forge ibis-omniscidb
Documentation
The ibis-omniscidb documentation can be found in the Ibis website.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file ibis-omniscidb-0.2.1.tar.gz.
File metadata
- Download URL: ibis-omniscidb-0.2.1.tar.gz
- Upload date:
- Size: 48.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 6382180a403b5597310be127c137e2f05f0951a951d51e3b3430fbb48761825b |
|
| MD5 | b511a9698f4e534c359167c865236b14 |
|
| BLAKE2b-256 | 63f3ec819b3d97675860e2bc491fedb83aea2e2e46c8db75a2abfbc740960566 |
File details
Details for the file ibis_omniscidb-0.2.1-py3-none-any.whl.
File metadata
- Download URL: ibis_omniscidb-0.2.1-py3-none-any.whl
- Upload date:
- Size: 42.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b41ec4a17448043d2a1612550e8b269a062f0d55ff9e19a06f1307d117b700de |
|
| MD5 | 51989981c30eeb3e4e44e0436ab4248d |
|
| BLAKE2b-256 | f96250e1e5fe608252b62b316bf2fd51021a93a79d18fb878d6abde6c7eaf189 |
