In the mood for some data trivia? Watch Benjamin Jeter and Thomas Zugibe from Executive Homes compete for the title of data king at Trino Fest! And don't forget to check out our Trino Fest recap and recordings of all the talks: https://okt.to/9B1MLp https://okt.to/RHGDLM #TrinoFest2024 #trinodb
Starburst
Software Development
Boston, Massachusetts 37,028 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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"The move to Starburst and Iceberg has resulted in a 12X reduction in compute costs versus our previous data warehouse. This efficiency allows us to focus our attention on using analytics for revenue-generating opportunities." — Peter Daniel Lim, Sr. Data Engineer at Yello.co Check out this new case study to learn how Yello adopted Starburst and Apache Iceberg to achieve 98% faster reporting times and reduced their run time from 28 hours to just 4 hours: https://okt.to/wYLAKG #casestudy #CustomerReview #ApacheIceberg
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Download this Gartner Report, Strategic Roadmap for Migrating Data Management Solutions to the Cloud to easily navigate your cloud migration challenges. Gartner® Report: Get your complimentary copy: https://okt.to/3KPIkt #Gartner #datamigration #datamanagement
Gartner Strategic Roadmap for Migrating Data Management Solutions to the Cloud | Starburst
starburst.io
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Want to learn more about the evolution of Starburst and how we are utilizing the power of Trino Software Foundation and Apache Iceberg? Check out this Great Things with Great Tech! episode with Anthony Spiteri and our CEO and co-founder, Justin Borgman. Listen more here: -Apple Podcasts: https://okt.to/4ZX3yP -Spotify: https://okt.to/6oTcL7 #Trinodb #ApacheIceberg #datalakehouse
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Starburst reposted this
Justin Borgman, Co-Founder and CEO of Starburst, explores the cutting edge world of data management and analytics. Apache Iceberg as the new S3 and Data Analytics with Starburst | Episode #86 🔗 https://lnkd.in/gmFEvFyA Justin shares insights into Starburst's innovative use of Trino and Apache Iceberg, revolutionizing data warehousing and analytics. Learn about the company's journey, the evolution of data lakes, and the role of data science in modern enterprises. Technology and Technology Partners Mentioned: Starburst, #Trino, #Apache #Iceberg, Teradata, #Hadoop, SQL, #S3, Azure, Google Cloud Storage, Kafka, Dell, Data #Lakehouse, #AI, Machine Learning, Big Data, Data Governance, Data Ingestion, Data Management, Capacity Management, Data Security, Compliance, Open Source
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We are thrilled to be sponsoring the DataConnect Conference happening July 11-12! Hear about the latest trends in data, analytics, and AI from industry leaders. Don’t forget to visit Starburst at booth #9—we can't wait to connect with you: https://okt.to/eMAQmD #DataConnect #DataAnalytics #AI
DataConnect Conference 2024 | Hosted by Women in Analytics
dataconnectconf.com
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🏳️🌈 Wrapping up Pride month with a successful Pride Music Trivia event! We learned about the history and impact of amazing artists like Chappell Roan, Prince, Beyonce, and more! Thank you to Tyler Shapiro for hosting the trivia, giving us a chance to recognize Pride Month and have some fun with it. At Starburst, we truly believe that our diverse backgrounds, perspectives, and experiences help lead us to success. Shoutout to all our All-Stars for helping us uplift that mission. #PrideMonth2024 #companyculture
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Starburst reposted this
🚀 New LinkedIn Article on the topic of #ApacheIceberg and the #OpenDataStack. This one follows my piece last week on the idea of the compute wars that covered the news from Snowflake on #Polaris and Databricks on the Tabular (now part of Databricks) acquisition: https://lnkd.in/gfzHym8r It looks at how #Iceberg should be seen as a pivotal moment in the history of #open #DataStacks, and how this long-term trend provides a map for the future of data that puts Starburst Galaxy's #IcehouseArchitecture based on #Trino at the forefront of a new race for #OpenCompute. This shows that Justin Borgman's assertion that the Icehouse is an idea whose time has come is both timely and accurate: https://lnkd.in/g9racUw2. Along the way, I show how we got here and how trends like the separation of #compute and #storage, #CloudComputing, and economies of scale will work alongside Iceberg's intrinsic openness to write the next chapter in the opening of the data stack. All of this builds to show that the #OpenDataStack isn't just a one-off, rather, it's an inevitable, long-term trend within #BigData, which has turned a new corner and proven itself once again with #Iceberg. To write this piece, I'm deeply indebted to the help of Matt Fuller and Carl Steinbach for their domain expertise as SMEs. Thanks also to Monica Miller, Emma Lullo, and Nicholas Joseph Price for review and feedback, and certain members of the #DevRel #Product team: Brian Munz, Lester Martin, Jay Chen. #DataEngineering #Starburst #Snowflake #Databricks #AWS #Azure #GCP #Hudi #DeltaLake #Hive #Hadoop #S3 #OpenSource.
Apache Iceberg shows how the open data stack always wins in the end
Evan Smith on LinkedIn
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Starburst reposted this
With all the news of the past month, this is indeed the summer of the Icehouse! Starburst has supported Iceberg since its inception at Netflix years ago, and our vision is to make the entire end-to-end Iceberg experience fast and easy. Listening to the growing community of Iceberg users, one of the most time consuming parts of the process is setting up an optimal table maintenance strategy. That’s why I’m excited to announce that Starburst is now offering three months of free table maintenance jobs if you sign up today: https://okt.to/dgFNIa Here are a few best practices we've implemented for you: Regular Metadata Cleanups: Iceberg maintains metadata for all table snapshots, so Galaxy helps you schedule regular cleanups helps to manage storage costs and improve query performance. Compaction Strategies: Compaction helps merge small files into larger ones to reduce the number of files and improves read performance. By focusing on these areas, our customers using Iceberg have seen improved performance and reduced operational overhead. If you're exploring or using Iceberg, I'd love to hear your experiences or discuss any challenges you might be facing 👇 #ApacheIceberg #TableMaintenance #Icehouse
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"Elisa encourages women who are passionate about engineering and technology to be curious and bold and believe in the importance of their ideas. She emphasizes the significance of developing young women professionals and supporting early education programs to strengthen the engineering field for generations." Check out this DZone article celebrating International Women in Engineering Day, featuring Elisa L., Starburst Senior Director of Support Engineering: https://okt.to/PchCLn #WomenInSTEM #engineering
Celebrate Trailblazers: Int'l Women in Engineering - DZone
dzone.com