Welcome to Flume
Get started with ContextBase and Data Pipelines, and connect Flume to the systems in your data estate.
Getting started
What is FlumeTwo products that work together: ContextBase understands your data, and Data Pipelines moves and transforms it.Key conceptsThe three components of the platform, how they relate, what you work with in ContextBase, and a glossary of terms.Answer checksHow ContextBase checks every answer against the data behind it and what your team approved.What to expect in month 1How ContextBase works, what is reliable on day 1 and on day 30, and how to get the most out of your first month.
Connection guide
OverviewWhat Flume needs to connect to each system in your data estate, and how every connection is validated.Databases, lakes, and warehousesWhere structured data lives. SQL Server, PostgreSQL, Snowflake, BigQuery, Databricks, Oracle, and more.Code repositoriesWhere data logic lives. GitHub, GitLab, Azure DevOps, and Bitbucket.Document repositoriesWhere unstructured knowledge lives. SharePoint, Google Drive, Confluence, Notion, Box, and more.ETL/ELT and orchestrationWhere transformation logic lives. dbt, Airflow, Informatica, SSIS, Azure Data Factory, and more.Data catalogs and metadataWhere data documentation lives. Alation, Collibra, Microsoft Purview, Atlan, and more.Decision and work trackingWhere data decisions get documented. Jira, Azure Boards, ServiceNow, Linear, and Asana.BI and analyticsWhere data gets consumed. Tableau, Power BI, Looker, Metabase, and more.