Reference#

API#

Index

Plugins#

Some Atoti features require large additional libraries and might not be useful in every projects. To keep the core library as light as possible, these features are packaged into separate plugins that can be installed when needed.

Available plugins#

Data loading#

atoti_kafka

Plugin to load real time Kafka streams into Atoti tables.

atoti_sql

Plugin to load the results of SQL queries into Atoti tables.

Cloud storage#

atoti_aws

Plugin to load CSV and Parquet files from AWS S3 into Atoti tables.

atoti_azure

Plugin to load CSV and parquet files from Azure Blob Storage into Atoti tables.

atoti_gcp

Plugin to load CSV and parquet files from Google Cloud Storage into Atoti tables.

These connectors open tens of HTTP connections to the cloud storage in order to transfer the data in parallel. They then transparently reassemble the blocks directly in memory. They can load up to 300 GB in about 5 minutes. Some parameters can impact the overall download speed:

  • Bandwidth of the network interface.

  • Speed of the CPU cores since HTTPS connections and client side-encryption consume CPU resources.

  • File size: small files will not have good download speed (< 60 MB/s).

  • Type (hot/cold) of the storage: hot storage is faster.

  • Data locality: best when the host running Atoti and the data are in the same cloud region.

DirectQuery#

See how to Use DirectQuery.

atoti_directquery_bigquery

Plugin to use DirectQuery on Google BigQuery.

atoti_directquery_clickhouse

Plugin to use DirectQuery on ClickHouse.

atoti_directquery_databricks

Plugin to use DirectQuery with Databricks.

atoti_directquery_mssql

Plugin to use DirectQuery with Microsoft SQL Server.

atoti_directquery_redshift

Plugin to use DirectQuery on Amazon Redshift.

atoti_directquery_snowflake

Plugin to use DirectQuery on Snowflake.

atoti_directquery_synapse

Plugin to use DirectQuery on Azure Synapse Analytics.

Data visualization#

atoti_jupyterlab

Plugin to create interactive Atoti widgets in JupyterLab.

Installation#

A plugin can be installed as a Python package or as a Conda package.

For instance, to install the JupyterLab plugin:

Python package#

pip install atoti-jupyterlab

Multiple plugins can be installed with the “extras” syntax:

pip install atoti[jupyterlab,sql]

Conda package#

conda install atoti-jupyterlab