e6data

Today marks a special milestone! 🎉 We’re elated to share that we’ve raised $10M in Series A funding led by Accel. Our mission at e6data is to help companies tap into the full potential of analytics and AI.

At AWS AI Conclave, we’re showcasing AI coding assistants for data workflows: • scale across tens of tables + dozens of catalogs/schemas • infer complex database relationships without humans in the loop • a simple interface powered by a team of agents (multi-agentic systems)

Data teams are stretched thin. You’re on call for ad-hoc asks, fixing joins/filters, documenting queries, optimizing expensive runs, debugging failures, and rewriting the same queries for users who can’t access data.

Here’s our #AWSreInvent wrap-up video! Tell us what your highlights were.

Day 1 at #reInvent in the books. Heard the same story again and again: AI+SQL workloads are pushing current stacks to the edge. We’re here with: - A faster lakehouse compute engine - Hybrid-ready (multi-cloud / on-prem) If that’s your world, come find the e6data crew in Vegas.

Hybrid is the new normal. Multi-cloud, multi-region, on-prem. With e6data, compute runs where the data lives. No insane egress bills, no governance drift. Let’s talk hybrid lakehouses in Vegas. #AWS #reInvent

Lakehouse compute that’s: - 10x faster - ~60% lower cost - 0 migration That’s what we’re bringing to #reInvent. Come find the e6data team in booth #1487 if you’re building serious data and AI infra.

We’re thrilled to be the venue hosts for the next edition of RootConf, brought to you by @hasgeek, at e6data. Catch @unmeshjoshi’s talk on the fundamentals of data management at scale. Trust us, you don't wanna miss this. Register now: hasgeek.com/rootconf/funda…

We’ll show you: - Interactive SQL on Delta and Iceberg that stays lightning fast - Real-time dashboards that don’t flinch under load - Natural language to SQL that respects your schema and governance Meet us at our booth, book a demo, and stand a chance to win a pair of AirPods!

We’re bringing the energy from Munich straight to Amsterdam! Tomorrow, Nov 6, we’re at the Databricks Data + AI World Tour, Amsterdam, and we can’t wait to show you what’s possible when speed meets scale.

Query Iceberg, Delta, Hudi, and Hive at 60% lower cost and up to 10x higher performance. Power end-to-end real-time use cases across live streams and historical Lakehouse data. Find us at Booth #310 in New Orleans, Oct 29 to 30.

What we’ll show on the floor: - <5s freshness from Kafka, Confluent, CDC, or object stores straight into Iceberg - Exactly-once delivery with atomic scaling to absorb 5x bursts without retooling. - Run anywhere: multi-region, multi-cloud, on-prem, or hybrid

From Kafka to Iceberg in under 5 seconds, at up to 60% lower cost. In a few hours at Current 2025 in New Orleans, see how the e6data Ingestion Engine makes ingesting, transforming, and analyzing data in real time effortless, without pipeline sprawl.

Voice of Customer Session At India Storage & Data Resiliency2025: Rajath Gowda, Founding Engineer Data Engineering @e6data Told, enterprises unlock full potential of Amazon S3 leveraging e6data;sperformance lakehouse engine delivering faster queries, smarter insight #dataquest

About Ravi A decade in data and analytics, leading AWS India’s Data business since 2020. Today, he powers analytics and GenAI for the startup ecosystem, framing GTM strategies and content that translate bleeding-edge services into business wins.

About the session: - Unified Studio: a single, browser-based workspace where data prep, SQL analytics, feature engineering, classic ML, and GenAI co-exist. - SageMaker Lakehouse: one logical layer over S3 + Redshift, giving every persona consistent, zero-copy access to data.

From S3 and Redshift to GenAI, SageMaker Unified Studio + Lakehouse lets you do it all in one workspace. Intrigued? Join us for the next edition of Lakehouse Days (powered by AWS), where AWS’ Ravi Kompella draws the curtains on simplifying data and AI lu.ma/kzs7jh63?utm_s…

Ankit Garg: 12 years scaling data platforms at Samsung, Amazon, Oracle, and now Confluent. If it ingests petabytes, has to answer in milliseconds, he’s built it. Devanshu Bagadia: Designed a TableFlow pipeline that keeps 1.5+ years of audit logs instantly searchable.

Register today: lu.ma/kzs7jh63?utm_s… - Real-time audit-log streaming How Apache Kafka captures, processes, and delivers billions of security events across every Confluent Cloud cluster. - Lakehouse analytics at rest Rolling streams into open, query-ready Iceberg tables

Discover how Confluent streams petabytes of audit logs in real time and keeps them query-ready for years. On 12 July 2025, join us at Lakehouse Days as Confluent engineers Ankit Garg and Devanshu Bagadia break down the real-time backbone behind Confluent Cloud Audit Logs

Don’t miss Bharath Harish’s talk on “How e6data Powers 10x Faster SQL, Vector Search & NL2SQL on Amazon S3” at 2:10 PM! Swing by our booth and bring your toughest data challenge!

What’s brewing at the e6data booth? -> Millisecond-latency SQL and vector queries -> High-concurrency workloads without breaking a sweat -> Zero data movement on Amazon S3 -> One engine for structured + unstructured analytics

Hello from the AWS Summit Mumbai! Our laptops are open, dashboards are live, and the coffee is just strong enough. Visit us at booth #G8 to check out what happens when a lakehouse compute engine finally keeps up with your imagination.