Repo: [https://github.com/Multiwoven/multiwoven]<p>Data movement has become a critical part of the modern data stack. more and more companies are evolving within the data movement space. The entire data movement landscape can be broken down into below product categories:<p>- Data storage:<p>1. Data warehouse: Snowflake, BigQuery, Redshift, Databricks, and a few others.<p>- Data Management:<p>1. ETL: Fivetran, Stitch, Airbyte, and a few others.<p>- Data Activation:<p>1. Reverse ETL: Hightouch, Census, Rudderstack, and a few others.<p>2. CDP: Salesforce, Segment, mParticle, and a few others.<p>While Data storage and data management have been around for a while, the data activation space especially the reverse ETL and CDP that are warehouse native are relatively new.<p>Today more and more teams are aggregating customer data from multiple sources into a data warehouse or data lake. The large data warehouse companies like Snowflake, BigQuery, Databricks, and Redshift have grown significantly in the past couple of years.<p>Aggregating data into a data warehouse is only the first step. while business functions like marketing, sales, and customer support need to access to this data data which is often back-office and not easily accessible.<p>Multiwoven is an Open Source CDP & Reverse ETL for your data warehouse. It is lightweight because you can cheery pick the features you need and it and run it for specific use-cases.<p>Ex: If you need to sync data from your data warehouse to your CRM, you can use the reverse ETL feature.<p>If you need customer360, and audience segmentation, you can use the CDP feature.<p>Open for early feedback and contributions.
Repo: [https://github.com/Multiwoven/multiwoven]