AI security starts before the model. It starts with the data, the platform, and the people trusted to protect both. Congrats to Starburst's Paras Malhotra on being recognized among the CISOs shaping what that looks like in practice.
Read more:
okt.to/4zqJAe
Generic AI answers questions. Enterprise AI understands how your business works. AIDA Skills can teach AIDA your workflows, methods & expertise. Now in private preview.
Read more: okt.to/nqryEw#Starburst#EnterpriseAI
Full of gratitude to have the entire team together in Boston. We’re celebrating to mark a milestone years in the making, and to say thank you to the customers and partners who got us here. Onward to the next chapter of open, federated, AI-data agents.
Enterprise AI doesn’t fail because of models. It fails because of architecture. In a recent episode of Data Cloud Now, Justin Borgman discusses how Snowflake and Starburst unify distributed data to power enterprise AI.
Watch: okt.to/5TALje#EnterpriseAI#DataStrategy
We just crossed $100M ARR with nearly 40% YoY growth 🤯, and a 20M in annual AI run rate. Huge thank you to our customers, partners, and the Starburst team. This milestone proves that open, federated data architectures are winning.
okt.to/btGZ3H#AI#lakehouse
An Enterprise Strategy Group study found that customers using Starburst achieved:
• 45% lower TCO
• 414% ROI (3 yrs)
This is what happens when AI is brought to the data, not the other way around.
okt.to/1u4ilD
Daesang Corporation unified 60 data sources, enabled near real-time analytics, and reduced cloud costs—without moving data.
See how they built a scalable data fabric with Starburst 👉 okt.to/yQwdXx#DataFabric#Analytics#AWS
“Starburst is a sledgehammer for data.”
@spreetail cut costs by 60% and accelerated pipelines 70% using Starburst Galaxy Iceberg on S3.
Now they’re powering AI/ML at scale.
📖 Case study: okt.to/nxJiE6#DataLakehouse#AI#Trino
A quick breakdown of lakehouse architecture—open table formats, storage/compute separation, and how Trino & Spark fit in, with real cost-saving examples.
🔗 New blog post: okt.to/VKkxD2#DataEngineering#DataLakehouse#ApacheIceberg
6 years of data. 1/3 the cost. 📍
Arity cut costs and boosted performance with Starburst—powering mobility analytics at scale.
Watch the story & read the case study: okt.to/K0fMa9#Trino#MobilityData#DataPlatform
Genus boosted time-to-insight by 75% and accelerated data product creation by 150x using Starburst Iceberg.
Watch how they’re scaling AI in animal genetics while simplifying their stack.
Check out the video: okt.to/UixhzK#AI#DataLakehouse#CustomerStory
Migrations break pipelines and stall analytics.
Starburst keeps everything running—query old new data together, avoid duplication, keep governance, and modernize without the chaos.
Learn more: 🔗 okt.to/cwIYCL#DataMigration
Most ELT pipelines are slow and fragile. Starburst fixes that with a high-performance, SQL-based engine that runs your longest queries—no migration required. Build pipelines right on your data lake. No extra complexity.
🔗 okt.to/MDpm7L#ELT#DataEngineering
Join us Dec 18 to learn how Starburst brings Python closer to your data.
The webinar will cover:
• PyStarburst & Ibis APIs
• Trino Python client
• Python UDFs
Register: okt.to/zvrm6B#Python#DataEngineering#Lakehouse#Trino
Data Mesh works when you can query data where it lives.
That’s why Starburst powers the modern mesh—governed access to every source, everywhere.
See how teams like Khan Bank and EMIS make Data Mesh real:
🔗 okt.to/UQBJr2#DataMesh
Hands-On Workshop: Build AI Functions in Starburst Galaxy on Dec. 10
We’ll cover:
• Model privilege setup
• Calling LLMs from SQL
• Task-based AI functions
and more.
👉 Register: okt.to/WzqgM6#AI#DataEngineering#DataAnalytics
Join us tonight for our Starburst Happy Hour at AWS re:Invent in Vegas!
📍 Location: Cañonita in Las Vegas
🕒 Time: 7:00pm – 9:00pm PT
Remember: You must have your official AWS re:Invent conference badge to enter the venue.
See you there!
Today, we honor the histories, cultures, and lasting contributions of Native American and Alaska Native communities.
We’re grateful for our Native American colleagues and are committed to listening, learning, and creating space for opportunity.
This Thanksgiving, we’re thankful for the talented, dedicated people who make Starburst what it is—our employees, customers, and partners worldwide. Thank you to everyone pushing the boundaries of what’s possible with data. Wishing you and your loved ones a wonderful holiday. 🦃