Why you should attend the webinar

Attend this webinar to learn how Acceldata delivers deep insights into cloud cost optimization with its comprehensive data observability platform. Discover how to manage costs and maximize data ROI in platforms like Snowflake and Databricks by optimizing your spend, eliminating cost overruns, and allocating resources effectively. 

Join Preeti Kodikal, Director of Product Marketing, and Sameer Narkhede, Director of Product Management, on May 23rd at 10am PT/1pm ET, to learn how you can: 

© 2023, Acceldata Inc - All Rights Reserved.  Privacy Policy  |  Cookies  |  Terms of Use

Register for the webinar

By submitting this form, you agree to the processing of your personal data by Acceldata as described in our Privacy Policy.

Enjoy 360-degree visibility into your spend and utilization across your end-to-end data stack through granular insights into costs by clusters/warehouse, workloads, users/account and business units.

Empower cost control and reduction, get actionable insights through anomaly detection and ML, and automate daily tasks such as administration, resource tuning, and workload optimization.

Create precise data spend plans through accurate budgeting, chargeback, fund allocation and spend forecasting at granular department- and project-levels.

How to optimize costs across your entire data stack using spend intelligence


Sameer Narkhede
Dir, Product Management 

May 23, 2023

10am PT / 1pm ET

Preeti Kodikal
Dir, Product Marketing

About Acceldata

Founded in 2018, Campbell, CA-based Acceldata has developed the world's first enterprise Data Observability Cloud to help enterprises build and operate great data products. Acceldata's solutions have been embraced by global customers, such as Oracle, HCSC, PhonePe (Walmart), 
Dun & Bradstreet, and many more. Acceldata investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, and Emergent Ventures. Contact us to learn about the benefits of data observability.

Trusted by enterprise data teams worldwide