Skip to main content

Ibis OmniSciDB backend

Project description

# Ibis OmniSciDB backend

[Ibis](https://ibis-project.org/) is a Python framework to write data analytics code, in a similar way to [pandas](https://pandas.pydata.org/). Ibis can execute the queries not only in memory (as pandas does), but in different backends, including SQL databases, and analytics databases, like [OmniSciDB](https://www.omnisci.com/platform/omniscidb).

[OmniSciDB](https://www.omnisci.com/platform/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](https://pypi.org/) or [conda](https://conda.io/):

Install with pip:

`sh pip install ibis-omniscidb `

Install with conda:

`sh conda install -c conda-forge ibis-omniscidb `

## Documentation

The [ibis-omniscidb](https://ibis-project.org/docs/backends/omnisci.html) documentation can be found in the [Ibis website](https://ibis-project.org/).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ibis-omniscidb-0.2.0.tar.gz (48.6 kB view details)

Uploaded Source

Built Distribution

ibis_omniscidb-0.2.0-py3-none-any.whl (42.7 kB view details)

Uploaded Python 3

File details

Details for the file ibis-omniscidb-0.2.0.tar.gz.

File metadata

  • Download URL: ibis-omniscidb-0.2.0.tar.gz
  • Upload date:
  • Size: 48.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/0.0.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.10

File hashes

Hashes for ibis-omniscidb-0.2.0.tar.gz
Algorithm Hash digest
SHA256 1920e916b4a764a8da2a49ae1427a026e276f38d416385687206010c1c328024
MD5 ea0e0efd631989daccbc86a680b26ea3
BLAKE2b-256 252b57d9b8d877d9eb19d7647af6d187907b0eccee7f1f22a29129132c348bca

See more details on using hashes here.

File details

Details for the file ibis_omniscidb-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: ibis_omniscidb-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 42.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/0.0.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.10

File hashes

Hashes for ibis_omniscidb-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 63ce6e3994f56dbdb46478699de1dabe7c905bb2abd5c346b9f65ac76d2ff2fd
MD5 c73ba02778821e689fbddc10a3a9889b
BLAKE2b-256 a3ea5496415d292290d567d26f105aa73f1a9a33d331ec1cd92a5f90a4200bed

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page