The Modern Data Stack: An Overview

This week, the team at Inclined is leading a training on the components of the modern data stack, based upon the following infographic:

While I don’t have time in this blog post to describe all of these tools in detail, I wanted to share some of the technologies we’re exited about in this space:

ETL (Extract, Transform, Load) Tools:

• Segment
• Stitch
• FiveTran
• AirByte (open source)
• Apache Airflow (open source)

Data Warehouses, Lakes, & Lakehouses:

• Amazon RedShift
• Google BigQuery
• Snowflake
• Panoply
• Delta Lake on Databricks
• Apache Hive

Graph Databases & Analysis

• Neo4j
• AWS Neptune

Customer Data Platforms:

• Segment Personas
• mParticle
• RudderStack (open source)

Data Transformation Tools:

• Data Build Tools (DBT)

Business Intelligence Tools:

• Looker
• Mode Analytics
• Amplitude

Data Catalog & Event Discovery, Documentation, & Governance Tools

• Castor
• Atlan
• Datafold
• Avo App
• Data Hub Project (open source)
• Amundsen (open source)

More on all these tools (and others!) soon. What are you getting excited about in this space?