Rockset Goes on the Road!

April 12, 2022

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In-person data and analytics events are back in full swing, and Rockset will be at three events in the span of one week this April.

Rockset exhibiting at AWS re:Invent 2021 in Las Vegas
Rockset exhibiting at AWS re:Invent 2021 in Las Vegas

AWS Summit San Francisco

You can catch us first at AWS Summit SF, April 20th and 21st, at Moscone Center South in San Francisco. Visit us at booth #609 to enter to win our live PlayStation 5 raffle at the end of day one of the conference. Register now to receive an onsite, personalized assessment from Rockset of how you can implement real-time analytics capabilities on AWS in record time.

aws-summit-sf-2022

Kafka Summit London

A few days later, on April 25th and 26th, you can find us on the other side of the pond at Kafka Summit London at The Intercontinental O2. Stop by booth S1 to grab one of our ever-popular Data is My Rock t-shirts and learn how Rockset partners with Confluent to offer you real-time analytics for data apps on Kafka.

With Rockset you can search, aggregate, and join any data using SQL and enable real-time rollups on streaming data; we’ve got our experts on hand at our booth to show you how! Register for Kafka Summit now with our 20% discount code PartnerKSL20!

kafka-summit-london

AWS Summit London

Last, but not least, is an event that’s always packed to the gills with big data leaders and innovators: AWS Summit London. It’s a one-day only event, on April 27th, at The ExCeL London. Sign up now to learn how your organization can deliver real-time analytics in record time with Rockset, and visit us at booth S25 during the evening reception. We’re one of the only booths that will be offering wine, beer, and delicious food (chicken tikka naan, salmon maki rolls, and a variety of tarts: cheese, pancetta and sweet potato).

aws-summit-london

We look forward to seeing you at these events!


Rockset is the real-time analytics database in the cloud for modern data teams. Get faster analytics on fresher data, at lower costs, by exploiting indexing over brute-force scanning.

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