Optimizing compute costs is an important consideration for any business that uses the cloud. This is because compute costs are usage-based. The more compute you use, the more you pay. Is there another way? Absolutely! This article https://okt.to/TOAPFk by Evan Smith is here to help you get the most out of your compute budget and deploy some tips to help save money by using an open data lakehouse architecture. #datalakehouse #computecosts
Starburst
Software-Entwicklung
Boston, Massachusetts 38,048 followers
The best implementation of OS Trino, giving your engineers the price-performant architecture they need
Über uns
Starburst was founded by the inventors of OS Trino so that data-driven companies could have a full-featured open data lakehouse platform powered by the #1 SQL analytics engine. 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 you make better decisions faster on all data. 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
- Industrie
- Software-Entwicklung
- Größe des Unternehmens
- 501-1,000 employees
- Hauptsitz
- Boston, Massachusetts
- Typ
- In Privatbesitz
- Gegründet
- 2017
- Spezialitäten
- 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
Standorte
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Primäre
Wegbeschreibung erhalten
320 Summer St
Boston, Massachusetts 02210, US
Employees at Starburst
Aktualisierungen
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How do you go from a traditional Hive data lake to an Iceberg-based lakehouse? Join us at #Datanova2024 to hear from Ricardo Cardante, Sr Data Engineer at Talkdesk, about their transition to a lakehouse. Learn more about: - A Lambda vs Kappa architecture - Adoption and challenges with Iceberg - How Starburst enables fully automated and performant data federation Register here: https://okt.to/oHYfNd #ApacheIceberg #datalake #DataLakehouse
Datanova
https://www.starburst.io
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ICYMI: Starburst Galaxy’s latest product innovations are making waves! 📈 Going set up their Icehouse with Starburst Streaming Ingest in minutes, leveraging a fully-managed Trino + Iceberg architecture to deliver near-real-time personalized travel packages. 📉 Warp Speed helped a global airline cut query costs from $24 to $1. Learn more: https://okt.to/fdzaiJ #Iceberg #Trino #Icehouse #StarburstGalaxy
What's New in Starburst Galaxy - August 2024
https://www.starburst.io
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"Starburst provides the essential foundation for AI innovation, emphasizing real-time hybrid data access and robust security" — Justin Borgman, Starburst co-founder and CEO Check out this BetaNews, Inc. article by Ian Barker about our latest research findings on the importance of data access in AI initiatives: https://okt.to/w6WvYH #AI #GenAI #dataaccess
Real-time hybrid data access is key to AI success
https://betanews.com
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EPISODE 2: "What’s Hot at Big Data London? 🔍" Katia Boré's quest to nail down the perfect Big Data London strategy continues, and this week she’s reaching out to another key member of the Starburst team. Who’s on the other end of the line, and what crucial insight will they share? 🤔 Let’s just say, it’s something every company with a legacy data lake should understand. Stay tuned to find out more! #BigDataLDN #BDL2024 #DataLakes #Hadoop #DataAnalytics Cameron Phillips
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Introducing this week’s Data Rebel: Alexander Seeholzer, the Director of Data Services at SOPHiA GENETICS. By harnessing Starburst, SOPHiA GENETICS was able to query business metrics across borders without compromising on security, governance, and regulations. Discover Alexander Seeholzer's Journey: https://okt.to/cJw0uY #governance #security #bigdataanalytics #DataRebel
Alexander Seeholzer | Starburst Data Rebel
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We have another exciting Datanova session announcement! You won't want to miss this discussion with Suzanna Khatchatrian and Sherin Thomas from Slack about how they cultivated a supportive data culture to drive excellence in their organization. Join us at Datanova to hear more about how they built a resilient data engineering team: https://okt.to/P58EAj #Datanova2024 #Slack #dataculture
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There are a lot of different data tools out there that are built to handle batch workloads and ETL. Trino isn't normally the first option people consider, but with a simple configuration change to enable fault tolerance, you can use your analytics engine to resiliently handle data transformations, too. Cole Bowden explains how fault-tolerant execution in Trino works and when you'd want to use it: https://okt.to/Yeqp8z #FTE #faulttolerantexecution #trinodb
Trino's Project Tardigrade: Fault tolerance
https://www.youtube.com/
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📈 A global airline reduced query costs from $24 to $1 with Starburst Warp Speed! 📉 Announcing two exciting enhancements to Warp Speed, now available in public preview: 🔹 Fast Warm-Up: 3x faster cluster warm-up for consistently high performance. 🔹 Autoscaling: Dynamically size accelerated clusters to match your workload demands. https://okt.to/6cNDB3 #WarpSpeed #bigdata #analytics #ProductUpdate
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Discover how Going leverages Starburst Galaxy’s Streaming Ingest to enhance predictive models in SageMaker and offer personalized travel packages. 🌟✈️ With Streaming Ingest now in public preview, easily stream data from Kafka into managed Iceberg tables on S3 and enjoy extended Trino + Iceberg with zero overhead. https://okt.to/NoifjK #Trinodb #apacheiceberg
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