e6data

e6data is a lakehouse compute engine for complex, high-concurrency SQL and AI workloads: 10x faster queries, 60% lower costs, zero data movement.

[e6data @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.

[e6data @e6data]

2/ At Booth #1605, the conversations made this theme very real.

Cost keeps coming up, especially as agentic workloads add new compute pressure on top of already growing analytics demand.

We’ve booked 40+ demos with teams thinking through this. If you’re at Moscone, drop in.

[e6data @e6data]

1/ Day 1 at Snowflake Summit 26 had a clear theme: enterprise AI is moving out of the pilot phase.

Sridhar’s keynote put it well: the winners in AI won’t be the companies with the most models. They’ll be the ones with the best governed, connected, and accessible data.

[e6data @e6data]

Heading to Snowflake Summit 2026? Meet e6data at Booth #1605.

Bring the workloads you’re trying to scale: high concurrency, rising compute costs, customer-facing analytics, or new AI use cases.

Book a demo and enter for a chance to win 1 of 3 Meta Glasses.

#SnowflakeSummit

[e6data @e6data]

What’s putting pressure on your data team right now?

More concurrency? Customer-facing analytics? Cloud costs?

If you’re at the Moscone Center, come meet e6data at booth 1605.

Let’s talk bottlenecks and a scalable path forward.

[e6data @e6data]

Alerts tell you what changed. But they rarely tell you why.

This blog breaks down how we built a causal attribution engine that separates WHERE the delta came from, WHY it happened, and THE STORY an AI agent can verify with SQL.

Read here: https://t.co/ouWIdjRhP7

[e6data @e6data]

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)

[e6data @e6data]

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.

[e6data @e6data]

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

[e6data @e6data]

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.

[e6data @e6data]

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

[e6data @e6data]

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.

[e6data @e6data]

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: https://t.co/ehUGzKFadu

[e6data @e6data]

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!

[e6data @e6data]

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.

[e6data @e6data]

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.

[e6data @e6data]

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.

[e6data @e6data]

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

[Dataquest @dataquestindia]

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

[e6data @e6data]

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.

[e6data @e6data]

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

https://t.co/bbBI80wwo6

[e6data @e6data]

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.