Reference

API

• API
  • atoti
  • atoti-aws
  • atoti-azure
  • atoti-directquery-bigquery
  • atoti-directquery-clickhouse
  • atoti-directquery-databricks
  • atoti-directquery-jdbc
  • atoti-directquery-mssql
  • atoti-directquery-redshift
  • atoti-directquery-snowflake
  • atoti-directquery-synapse
  • atoti-gcp
  • atoti-jdbc
  • atoti-kafka
  • atoti-jupyterlab

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_jdbc	Code to interact with databases through JDBC.
atoti_kafka	Code to interact with Kafka streams.

Cloud storage

atoti_aws	Code to load CSV and Parquet files from AWS S3 into Atoti tables.
atoti_azure	Code to load CSV and Parquet files from Azure Blob Storage into Atoti tables.
atoti_gcp	Code 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	Code to use DirectQuery on Google BigQuery.
atoti_directquery_clickhouse	Code to use DirectQuery on ClickHouse.
atoti_directquery_databricks	Code to use DirectQuery with Databricks.
atoti_directquery_jdbc	Code to use DirectQuery through JDBC.
atoti_directquery_mssql	Code to use DirectQuery with Microsoft SQL Server.
atoti_directquery_redshift	Code to use DirectQuery on Amazon Redshift.
atoti_directquery_snowflake	Code to use DirectQuery on Snowflake.
atoti_directquery_synapse	Code to use DirectQuery on Azure Synapse Analytics.

Installation

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

For instance, to install the DirectQuery JDBC plugin:

Python package (recommended)

With uv:

uv add "atoti[directquery-jdbc]"

Or with pip:

pip install "atoti[directquery-jdbc]"

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

pip install "atoti[directquery-jdbc,jupyterlab]"

Conda package (discouraged)

conda install atoti atoti-client-directquery-jdbc atoti-server-directquery-jdbc