Selecting the Right Data Warehouse for Analytics
This ebook will help you understand six key elements to consider when selecting a data warehouse for analytics. It will also dive into use cases best suited for top data warehouse providers.
How it works
SYNTHESIZE
Store and standardize your data in one place you trust
Debugger
Test your implementation and weed out bad data
Schema Control
See what events and traits you’ve sent, and set rules for where data flows
Collect data from every platform and load it easily into Segment
Web, Mobile, and Server-side Libraries
Choose from Javascript, iOS, Android, Ruby, Python, and more
Cloud Apps
Connect cloud platforms like Salesforce, Stripe, Facebook, and more
COLLECT
Send data to hundreds of tools and data warehouses
Send Data Anywhere
Explore our catalog of tools for analytics, email, and more
Data Warehousing
Schematize and load your data into a cloud data warehouse like Redshift, BigQuery, and Postgres
ACTIVATE
FREE DOWNLOAD
Inside you'll find:
Why a data warehouse is absolutely essential to analytics at scale
The six key elements to consider when evaluating a data warehouse
Uses cases that are best suited for different types of data warehouses
A no-nonsense vendor selection breakdown for Redshift, Snowflake, BigQuery, Db2Warehouse, and Postgres