e6data

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e6data

e6data

@e6data

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

San Francisco, United States Katılım Aralık 2023
9 Takip Edilen98 Takipçiler
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e6data
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.
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e6data
e6data@e6data·
We’re thrilled to introduce e6data’s native MCP. Connect MCP-compatible agents like Claude Code, Codex, Cursor, and custom AI workflows directly to your lakehouse, without extra infra or custom integrations. Huge shoutout to Arnav and Tanay for bringing this to life.
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e6data
e6data@e6data·
There’s more hiding inside open lakehouse architectures than most teams realize. Catch @vishnuv9248's talk on June 18 at 11:30 AM PDT, then drop by booth 548 to meet the e6data team. Cost, governance, portability, and the freedom to run anywhere.
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e6data
e6data@e6data·
And on Saturday at 3:00 PM, Renu Sumam is speaking on “No Stats, No Problem: Building Feedback-Driven Optimizers for Lakehouses” at TERI Auditorium, Domlur.
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e6data@e6data·
Reminder! Samyak and Aayush are running a hands-on “Building a SQL engine from scratch” workshop this Friday, 1:30–5:30 PM, at Sahaj Software office, Koramangala.
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e6data
e6data@e6data·
Next stop: Databricks Data + AI Summit. We’ll be there talking about how teams can scale lakehouse analytics without moving data, reworking their stack, or letting costs climb as usage increases. Zero migration. 60% cost savings. Run anywhere.
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e6data
e6data@e6data·
That’s a wrap on Snowflake Summit. Big thanks to everyone who stopped by the e6data booth, signed up for a demo, and joined the conversations. Loved the chats on Iceberg v3, adoption, and where open table formats go next. See you at the next one.
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e6data
e6data@e6data·
Query optimizers assume good stats. Lakehouses often don’t have them. At Rootconf Special Edition on Databases, Renu Sumam will talk about building feedback-driven optimizers that learn from executed queries, handle missing stats, and avoid BI workload plan cliffs.
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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.
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e6data
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.
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e6data
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
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e6data
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.
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e6data
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: e6data.com/blog/ai-powere…
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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)
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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.
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e6data@e6data·
Here’s our #AWSreInvent wrap-up video! Tell us what your highlights were.
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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.
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e6data
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
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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.
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e6data
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: hasgeek.com/rootconf/funda…
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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!
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e6data
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.
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