HyperDB
Airtable • enterprise data • New York
Impact
A must-have data product for Airtable's largest enterprise clients.
250+ enterprises now run on HyperDB, with 850+ data sets created and 900+ bases syncing, a 5x increase since GA. Teams can store up to 100M records (up from a 500K limit), with large views loading 4x faster.
Overview
How might we help enterprise teams store and govern millions of records without losing the speed Airtable is known for?
Our largest enterprise customers were hitting a hard wall: bases were capped at 500K records, yet many already stored millions of records in data warehouses like Snowflake and Databricks. They wanted to bring that data into Airtable so their teams could work with it directly instead of querying a separate warehouse, but doing so meant splitting it across dozens of bases. We built HyperDB to solve this pain point.
I led UX end-to-end: clarifying the hero use cases for the product, designing the data import and data set creation flows, running customer feedback sessions, working closely with a backend-heavy engineering team, and leading visioning workshops to help the team figure out what to build next. HyperDB shipped to GA and quickly became core to how Airtable's largest customers manage data at scale.
Team & timeline