“Building an infrastructure that’s going to give you optionality allows you to really manage cost performance, keeping costs as low as you can.” Check out this TFiR interview with Swapnil Bhartiya and our CEO Justin Borgman about the importance of open table formats and how they can provide organizations with optionality: https://okt.to/jW8Qn0 #ApacheIceberg #trinodb #Icehouse
Starburst
Software Development
Boston, Massachusetts 37,362 followers
Your open lakehouse
About us
For data-driven companies, Starburst offers a full-featured open data lakehouse platform built on open-source Trino. Our end-to-end analytics platform includes the capabilities needed to discover, organize, consume, and share data with industry-leading price-performance for cloud and on-premises workloads. We believe the lakehouse should be the center of gravity, but support accessing data outside the lake when needed. With Starburst, teams can access more complete data, run scalable analytics, lower the cost of infrastructure, use tools best suited to their needs, and avoid vendor lock-in. Trusted by companies like Apache Corporation, Comcast, Doordash, DBS Bank, and VMware, Starburst helps companies make better decisions faster on all data. For more information: starburst.io Join us! -- Our company was founded in an unusual way; with customers and revenue from the beginning! Our growth is already ahead of some of the most successful software start-ups, and we don’t plan on slowing down. We believe our opportunity is huge. Every large company in the world suffers from a data silo problem. Traditional data warehouse products approach the problem with old solutions that breed inefficiency and ultimately can’t help business analysts run fast analytics on all their data. This prevents the business from making better decisions to improve their company’s performance. Starburst provides a modern solution that addresses these data silo & speed of access problems. Starburst helps enterprises harness the value of Trino, the fastest distributed query engine available today, by adding the tools and 24x7 support that meet the needs for big data access at scale. Ultimately, Starburst helps organizations run analytics anywhere to make better business decisions. We’re building a team of all-stars: engineers, customer success, sales, and marketing pros who are at the top of their game. If this sounds like you, check out our open roles: starburst.io/careers
- Website
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http://starburst.io
External link for Starburst
- Industry
- Software Development
- Company size
- 501-1,000 employees
- Headquarters
- Boston, Massachusetts
- Type
- Privately Held
- Founded
- 2017
- Specialties
- Hadoop, SQL, Hive, Amazon Athena, Distributed Systems, Databases, Big Data, Analytics, Data Lake, Data Virtualization, Data Federation, SQL-on-Anything, SQL-on-Hadoop, Trino, Data Mesh, TrinoDB, and SQL Query Engine
Locations
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Primary
320 Summer St
Boston, Massachusetts 02210, US
Employees at Starburst
Updates
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Want to learn more about the ins and outs of Trino? Check out this video with Cole Bowden as he walks you through the Trino architecture and the optimizations that make it run so fast ⚡️ https://okt.to/AlxHJD #trinodb #opensource Trino Software Foundation
How does Trino work?
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Starburst reposted this
Building an Icehouse on-prem? Dell makes it easy with the Dell Data Lakehouse, powered by Starburst. Apache Iceberg has quickly become the undisputed leader in modern table formats, but the partnership between Iceberg and Trino, aka the Icehouse, is central to achieving a truly modern data lakehouse. The data lakehouse offers optimal performance while also keeping costs low and eliminating vendor lock-in. However, transitioning from legacy formats to Iceberg can be challenging and often requires a lot of support across data teams. This is where the Dell Data Lakehouse, powered by Starburst, comes in. By utilizing the power of Trino and Iceberg, this easy-to-deploy solution addresses modern data management challenges by providing an open architecture with true optionality. • What makes this product so special? • An open and future-proof architecture • High performance and scalability • A turnkey solution for your entire stack • Comprehensive data management • Connected data silos • Cost-effectiveness and predictability • Security and governance To learn more about The Dell Data Lakehouse and the power of the Icehouse, check out this Dell Technologies blog by Greg Findlen: https://lnkd.in/eiU2NCFp
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Why should you upgrade your Hadoop infrastructure to Starburst? Check out this blog to learn about the challenges with Hadoop, key features of Starburst's SQL engine, and how to get started upgrading your engine: https://okt.to/gCTD0a #Hadoopmigration #SQL #trinodb
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Starburst reposted this
Got Hadoop? Let Starburst show you how easy it is to upgrade to a modern lakehouse platform with Trino and Iceberg.
Upgrading your SQL engine: From Hadoop to Starburst
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Building a data lakehouse with #Trino and #Iceberg requires data management to keep our tables performant. In the #Icehouse, we've automated that process for you, providing table maintenance for your Iceberg tables via compaction, vacuuming, data retention, and more. 🧊 ⚙️ Check out this video to learn about data management in the Icehouse: https://okt.to/x50inr #datalakehouse #DataManagement
How does an Icehouse architecture manage data? | Starburst Icehouse Architecture
https://www.youtube.com/
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We are thrilled to share that we are a finalist for the The Channel Company's Tech Innovator Awards! 💪🏆 This award "showcases IT products that can provide game-changing advances in IT – and partner growth opportunities – across a broad range of technologies." See the full list here: https://okt.to/u7rtpD #techstartup #industryleader #bigdata #analytics
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An #Icehouse Architecture is made up of 2 key components: #Trino and #ApacheIceberg. Beyond that, #DataIngestion is an important part of the Icehouse equation when using Starburst Galaxy. This new YouTube video: https://okt.to/ud7kgb by Evan Smith spells out how data ingestion works in the Icehouse, and how you can use Starburst Galaxy and Apache Kafka to ingest data easily into Apache Iceberg. #StarburstGalaxy #openlakehouse
How does an Icehouse architecture use Apache Kafka and Apache Iceberg? | Icehouse Architecture
https://www.youtube.com/
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With various components like training pipelines, inference pipelines, models, and feedback, ensuring unified access to data with built-in security and governance is crucial. But choosing the right engine is key. Join us for an episode of DM Radio to discover how leading companies tackle these challenges with Eric Kavanagh, Justin Borgman, David Yaffe, and Vrashank Jain. The episode kicks off with a 10-minute presentation on the ideal information architecture for AI, followed by a roundtable discussion: https://okt.to/IEYQib #openlakehouse #DMRadio
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It's a lakehouse that simply works 💪 Vincenzo Cassaro from Prezi joined Trino Software Foundation Community Broadcast to discuss Prezi's data platform where Trino via Starburst Galaxy plays a big role! Some key takeaways of the data lakehouse: 1. Built for stability & on state of the art tech ⭐️ 2. It's pluggable and modular 🧩 3. It's constantly evolving -> and one of those future evolutions includes moving to Iceberg 👀 Check out the episode here: https://okt.to/MxhL6t #trinodb #StarburstGalaxy #DataLakehouse
Trino Community Broadcast 62: A lakehouse that simply works at Prezi
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