Starburst: accelerates data access
to power your AI, data apps and analytics.
12x
Reduction in compute costs vs. data warehouses
80%
Decrease in time to insights vs. other query engines
12x
Reduction in compute costs vs. data warehouses
80%
Decrease in time to insights vs. other query engines
Trusted by hundreds of leading data teams around the globe
5 Reasons Data Teams Choose Starburst
Organizations—from startups to Fortune 500 enterprises in 60+ countries—rely on Starburst to empower their most data-intensive and security-conscious initiatives. Customers use Starburst to democratize data access, enhance analytics performance, and future-proof their architecture. Wherever data lives, Starburst unlocks its full potential, powering AI and analytics from development to deployment while ensuring cost efficiency and compliance.
Reason #1: Improving Data Access to Remove Data Silos
How Banco Inter Scaled Data Access with Starburst
Banco Inter, a leading digital bank in Brazil, needed a faster, more efficient way to access and analyze vast amounts of customer and operational data. Their legacy data infrastructure struggled with performance and scalability, limiting their ability to deliver real-time insights.
By adopting Starburst Enterprise, Banco Inter seamlessly unified data across multiple sources, eliminating bottlenecks and reducing query times by 80%. This transformation empowered their teams with faster decision-making, improved customer experiences, and enhanced business agility—all while cutting costs on data infrastructure.
Results Achieved
✅ Seamless access to distributed data
✅ Lower infrastructure costs
✅ Scalable and efficient analytics
Reason #2: Improving Analytics Query Performance
How Talkdesk Transformed Data Analytics with Starburst
Talkdesk, a global leader in cloud contact center solutions, faced challenges with slow, complex data access that hindered real-time decision-making. Their existing data architecture struggled to support growing analytics demands, impacting operational efficiency and customer insights.
By implementing Starburst Galaxy, Talkdesk streamlined data access across multiple sources, reducing query times by 78% and eliminating data silos. With faster analytics and improved scalability, Talkdesk enhanced customer experiences and empowered teams with real-time insights—all while cutting infrastructure costs.
Results Achieved:
✅ 78% faster query performance
✅ Seamless access to distributed data
✅ Improved scalability and efficiency
✅ Reduced data infrastructure costs
Reason #3: Accelerating Experimentation for AI & Data Apps
How Vectra AI Accelerated Threat Detection with Starburst
Vectra AI, a leader in AI-driven cybersecurity, needed a faster and more scalable way to analyze massive security datasets. Their legacy data architecture struggled with slow queries and complex data integration, limiting their ability to detect and respond to threats in real time.
Vectra AI dramatically improved data access and query performance by leveraging Starburst Galaxy, reducing analytics latency by 90%. With faster insights, their security teams can now detect cyber threats more efficiently, enhancing customer protection while optimizing data infrastructure costs.
Results Achieved:
✅ 90% faster query performance
✅ Real-time threat detection and response
✅ Seamless data access across sources
✅ Lower infrastructure costs
Reason #4: Processing Large Datasets
How Going Transformed Travel Data Insights with Starburst
Going, a leading travel deal platform, needed a faster and more efficient way to analyze massive amounts of flight data. Their existing data infrastructure struggled with slow queries and high costs, limiting their ability to deliver real-time travel insights to customers.
By adopting Starburst Galaxy, Going achieved 70% faster query performance, enabling their data team to access and analyze flight pricing trends in real time. With improved scalability and cost efficiency, they now deliver better travel recommendations while optimizing their data infrastructure.
Results Achieved:
✅ 70% faster query performance
✅ Real-time travel data insights
✅ Lower infrastructure costs
✅ Scalable, efficient data access
Reason #5: Ease of Collaboration With Data Products
How Halliburton Optimized Energy Data Analytics with Starburst
Halliburton, a global leader in energy services, needed a faster, more scalable way to access and analyze vast amounts of operational and geospatial data. Their legacy data architecture struggled with slow queries and data silos, limiting their ability to make real-time, data-driven decisions.
By implementing Starburst Galaxy, Halliburton accelerated query performance by 3x, enabling their teams to quickly analyze complex datasets across multiple sources. With improved scalability and cost efficiency, they enhanced operational insights and optimized energy exploration and production.
Results Achieved:
✅ 3x faster query performance
✅ Seamless access to distributed data
✅ Real-time operational insights
✅ Lower infrastructure costs
Traditional Data Lakehouse vs Starburst’s Approach
Starburst redefines the data lakehouse by enabling federated query capabilities and data products without excessive data movement. Unlike traditional lakehouses, Starburst lets users discover and query data in place, moving only essential data to the lake. This ensures an open, scalable, and governed approach for efficient cross-platform analytics.
Data Access
Requires centralizing data in the lake for full functionality.
A federated query engine enables access across multiple sources without ingestion.
Data Movement
Requires all data to be centralized and moved to the lake, creating unnecessary pipelines and data movement.
Moves only necessary data to the lake, minimizing storage and duplication.
Data Products
Focuses on centralized data management but lacks a native data product framework.
Treats datasets as governed, reusable products for self-service analytics.
Governance
Governance is limited to data within the lake.
Unified governance across federated sources and the data lake.
Use Cases for Starburst
Exploratory data analysis (EDA) for GenAI
The key ingredient for powering AI is distributed enterprise data. With Starburst data federation, quickly discover, access, and test relevant distributed datasets during model development and training without first worrying about data movement.
Real-time personalization
Next-best product or real-time recommendations to drive conversion thrive on freshness and relevance of data. Ingest, transform, and query data within 60 seconds with Starburst Streaming Ingest.
Anti-money laundering
Financial data subject to regulatory compliance typically remains on-premises. Use Starburst to bring blazing-fast SQL analytics to your on-premises infrastructure, enabling faster detection and response times to mitigate crime and meet regulatory reporting times.
Supply chain analytics
Resilient supply chains require consistent data across the supply chain providers. Use Starburst Data Products and data sharing to quickly build, analyze, and manage purpose-built data products and securely share with trusted partners while enforcing necessary access controls at the table, column, and row levels.
Customer 360
Customer data is spread across the enterprise within transaction systems, contact center databases, CDPs, and more. Use Starburst Data Products to build a curated data set for your X 360 initiatives that enforces fine-grained governance with automated PII tagging, RBAC, and ABAC, while creating a single view to analyze customers.
Activate your data lake today with Starburst
Start for Free with Starburst Galaxy
Up to $500 in usage credits included
Discover
Easily search across data sources and clouds to find the data you need.
Govern
Streamline data governance with built-in RBAC and ABAC.
Analyze
Run internet-scale workloads with the power of Trino.
Fast
Accelerate queries with smart indexing and caching technologies like Warp Speed.
More Deployment Options
