RudderStack Product News Vol. #017 - High-performance JavaScript SDK
New, High-performance JavaScript SDK
Our new JavaScript SDK leverages the rudder-analytics.js library to track and send user events from your website to RudderStack without compromising site performance. Metrics on our own site showed a reduction in package size by 70% and load time by 60%.
Integration and Pricing
FullStory Mode for Mobile
FullStory is a platform that analyzes data recording, searching, user interactions, and more. We now support FullStory as a destination to which you can send event data seamlessly for measuring the overall user experience.
Learn more in the docs.
Announcing Our New Event Stream Promo
From now until December 31, 2022, we are increasing the free event stream volume for our customers from 500K to 5M events per month. read our promotion page for the terms and conditions.
Learn more here.
Other happenings at RudderStack
Live Stream w/ Databricks, dbt, Fivetran, Essence VC, & Hinge
Join RudderStack's own Eric Dodds and Kostas Pardalis, hosts of The Data Stack Show, for a special live episode discussing the modern data stack with a star-studded panel. Register now
The Data Stack Show: The Internet of Everything
Hear Rob Rastovich, CTO of ThingLogix, cover the challenges of managing IoT data and talk about the event-driven infrastructure required to power IoT. Listen
Published:
November 24, 2021
Data without compromise: The RudderStack story
Learn about how RudderStack started and how it has evolved into a best-in-class data infrastructure solution to help businesses move their customer data with full control and safety.
Announcing RudderStack Data Apps, powered by Snowflake: Ship high ROI data projects faster
Run RudderStack Data Apps on top of your Customer 360, and ship high-ROI data projects in days, not months. Configure and run accurate attribution and propensity models and enable real-time personalization. All without writing complex SQL or Python.
Feature launch: Append and table skipping for warehouse FinOps
To help you turn your customer data into competitive advantage while optimizing warehouse spend you can now reduce compute time and costs by ingesting events via append and skip compute-intensive tables as requirements permit.
