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Why Structured Data is the Ground Truth of AI Dremio Acquired By SAP Starburst and Qlik Solve for AI Data Access Starburst Enterprise Delivers Multi-Cluster Architecture and Lakehouse Performance to Accelerate AI Introducing AIDA Skills: Extending AIDA with Domain Expertise Ensuring Trust in AI: The Role of Business Metadata Understanding Query Plans What is Context Engineering?Understanding Dynamic Connection Passthrough Portability Was Always the Point GPU-Accelerated SQL Analytics: How Starburst and NVIDIA Deliver Industry-Benchmark Speedups on GPU Infrastructure Winning the Enterprise AI Race: Ask. Know. Go. Engineering the AI Leap Starburst Delivers AIDA: An AI Agent Built to Disrupt BI What is a Data Lakehouse? What is Query Federation? What is a Metastore? The 8 AM Heartbeat Moments Before Your Data Pipelines Go Live How Data Architecture Makes or Breaks your AI Data Strategy What’s Needed for Enterprise Agentic AI to Succeed in Production?How Banks are Leveraging Structured and Unstructured Data for AI Agent Grounding: The Missing Discipline in Enterprise AI What is AI Data Governance? What is Agentic Data? How Do You Get from BI Dashboards to AI Decisions?What is Data Sovereignty?Starburst Integrates with Google Cloud’s Lakehouse What is the Semantic Layer? Clickstream Analytics with Starburst Galaxy Data Ingestion and AIDA Starburst Collaborates with Google Cloud to Integrate Starburst Enterprise with BigLake Metastore Access to Business Context Will Determine Who Can Replace BI with AI Why Context is the Missing Element in Your AI Data Strategy StreamNative Kafka and Starburst Managed Ingestion Power the Modern Lakehouse What is MPP? Your AI Doesn’t Know Where the Data Lives What is Data Federation?Under The Hood of Starburst Galaxy’s Hosted MCP From HTTP to REST to MCP AI Needs Both Data Access and Data Governance Introducing the Great Lakes Connector for Starburst Enterprise Unpacking Starburst Rewind and Backfill Starburst Becomes First AI Platform to Support NVIDIA Vera Starburst Enterprise Intelligence Platform on NVIDIA Vera Starburst Galaxy: AI on Iceberg Foundations Starburst Galaxy Provides Superior Data Ingestion Understanding the Data Lakehouse Starburst Enterprise Delivers Data Product and Iceberg Advances to Support AI AI Is Replacing Business Intelligence, and Dashboards Are the First to Go Announcing Starburst AI & Datanova 2026 Why Context Helps Uncover Real Meaning Why the Future of AI Relies on Conversation and Context Demystifying Data Catalogs, Data Products, and Metadata Management Why Data Lineage Matters What Data Teams Can Learn About Readiness Data Playbooks Strategy First: Empowering the Business to Lead in the AI Era No One Wins Alone What is the Semantic Layer?Benchmarking the JDBC Bottleneck in Trino Why Data Products and Lakehouses Work Better Together Should You Replace Your Cloud Data Warehouse?Getting Started with Apache Iceberg: A Roadmap Top Signs You’re Ready for a Data Lakehouse What Challenges Does Federated Search Address?Starburst Galaxy: Building a Resilient, Multi-Cloud Managed Trino Offering How Does a Data Lakehouse Work?Data Mesh: What Happened?Understanding Managed Iceberg and Why You Need It Extending Your Data Lakehouse to Include Azure How Starburst Galaxy Uses Data Ingestion to Complement Trino Best Practices for Optimizing Apache Iceberg Performance Starburst Enterprise Connects AI and Iceberg Functionality What Is a Data Product?Breaking the Data Barrier: Turning Compliance and Complexity into Alpha The Vanishing Edge: Why Alpha Now Belongs to the Data‑Intelligent Federated data: How does a data lakehouse help?Comparing Trino Spooling Protocol Client Retrieval Modes Four Big Questions Enterprises Are Asking About AI and Modern Data Platforms My Journey with Starburst AI Tools How to Build Data Products What is Lakeside AI?Building Data Products for AI Agents Starburst Integration with Unity Catalog How AI Agents Consume Data Products How Starburst Galaxy Helps Unblock AI Projects What is Vector Storage?The Rise of the Agentic Workforce: Data and AI Platform Enterprises can Trust The Limits of Centralized Data Architectures How to Adopt AI in Your Organization From Amazon S3 to Insights Principles for Building AI Data Products How the Starburst AI Agent Delivers Data Faster Unpacking the EU Data Act Building Starburst Data Pipelines with SQL or Python Comparing Foundational Features of Trino, Hive & Spark Leveraging Iceberg is Easy with Starburst Galaxy How Apache Iceberg Branching Transforms Data Management Shaping Your Multi-Cluster Data Architecture with Starburst Enterprise Iceberg v3: Getting Started Iceberg Snapshots Affect Storage, Not Performance How Table Maintenance Affects Iceberg Snapshots Visualizing Iceberg Snapshot Linear History Why Data Federation is the Key to AI Understanding Data Ingestion Architecture The dangers of the JDBC bottleneck in Trino Starburst + dbt: The New Data Stack How Does AI Change Data Governance?Powering On-Premises and Hybrid AI Workloads with Iceberg Data Products Iceberg Data Maintenance with Starburst Why Unstructured Data is the Key to AI Value Starburst File Ingest Builds Your Data Lakehouse Instantly From Amazon S3 GenAI Requires an Open Data Architecture Data Governance Drives Change in Financial Services How to Avoid Data Access Bottlenecks When Using Trino On-premises AI Starburst + Databricks How data products help AI data governance Improved Performance with Starburst ODBC Driver Version 3 Enabling AI with Starburst Enterprise Starburst integration with Amazon S3 Tables Dell and Starburst continue to push the boundaries of AI Applications Are Dead: Long Live the Data‑Centric Enterprise Why Your Data Lakehouse Is the Core of Your AI Strategy Starburst & Spark Three truths about enterprise AI The journey from Presto to Trino and Starburst Assembling your AI data strategy Icehouse experimentation and migration Understanding data architecture Google Cloud Next 2025 + Starburst Faster data compliance and data sovereignty with Stargate Parallel Why AI is only as good as the data that feeds it Exploring Iceberg transactions and metadata Gradually reducing data warehouse costs using an Icehouse architecture Starburst achieves AWS Financial Services Competency Partner Understanding data analytics vs AI Celebrating women’s contributions to technology with Starburst Starburst + Confluent Tableflow Why Trino is the PostgreSQL of analytics?Powered by Starburst: Dell AI Data Platform with NVIDIA The file explosion problem in Apache Iceberg and what to do when it happens to you Introducing the Trino spooling protocol Why you should run frequent data architecture audits Why Apache Iceberg is gaining popularity in Japan HPE + Starburst: Setting the stage for the Active Data Lakehouse Era The 3 foundations of an AI data architecture Starburst + AI What is Apache Spark?Racing for commits on Delta Lake tables using Starburst Do you have a data velocity problem?Are you making the most of your Hadoop cluster?How to do data centralization the right way Parquet and ORC’s many shortfalls for machine learning (ML) workloads, and what should be done about them How Starburst secures your data in flight with AWS Starburst Enterprise Platform 462-e.1 LTS product release 5 reasons why operating streaming ingestion as a service is difficult What is a data lake?How to identify and manage data silos 5 ways to simplify ETL using SQL Announcing Streaming Ingest General Availability and Public Preview of File Loader in Starburst Galaxy Announcing SQL Engine Enhancements in Starburst Galaxy to Further Optimize Price-Performance How AI and data analytics drive demand for relevant business data What is Trino?Building data applications with Starburst Galaxy and Trino Apache Iceberg vs Delta Lake: What are the differences?Compute Cost Best Practices: How to Optimize Data Costs Across All Architectures What is the best way to query Apache Iceberg tables?What’s New in Starburst Galaxy – August 2024 Introducing Fast Warm-Up and Autoscaling to Warp Speed in Starburst Galaxy Starburst Galaxy’s Streaming Ingest Now in Public Preview GenAI drives adoption of open data architecture Solving capacity management problems for Trino clusters Using Trino for Your Data Transformations Transitioning from Hadoop to a modern lakehouse: The Dell Data Analytics Engine powered by Starburst Building an open and interoperable data lakehouse with Starburst Galaxy Announcing Starburst & Trino Support for Polaris Catalog for Apache Iceberg Building a Strong Data Foundation: Insights from Citigroup’s Analytics Leader Governing data products at scale: Promoting collaboration between producers and consumers Automated Table Maintenance for Apache Iceberg Tables Upgrading your SQL engine: The first migration pathway from Hadoop to Starburst 3 Data Ingestion Best Practices: The Trends to Drive Success Starburst Enterprise Platform 443-e: Reviving advanced file caching with file system caching What’s next for Trino 5 Ways to solve the disparate data problem and drive business outcomes Transitioning from Hadoop to modern lakehouses Starburst Enterprise Platform 443-e.1 LTS product release What’s New in Starburst Galaxy – June 2024 Launching a new data quality dashboard in Starburst Galaxy Introducing data product usage examples in Starburst Real-world insights from Asurion: Data quality in practice Why Apache Iceberg will accelerate competition for compute engines Advanced Data Management: Trino, Hadoop, and AWS for a Robust Lakehouse Snowflake, Databricks, Tabular, Iceberg, what does it all mean?3 Iceberg partitioning best practices to improve performance Enhancing Apache Hadoop Data Management with Trino and Starburst What’s the difference between Apache Parquet vs AVRO What’s the difference between batch vs streaming data processing Top 5 reasons to not adopt Apache Iceberg Redefine tables within object storage connectors like Iceberg and Delta Lake without any downtime Unlocking the power of Apache Iceberg: Tutorial series What is the Starburst Icehouse Architecture What’s New in Starburst Galaxy – May 2024 Reduce Snowflake compute costs with Starburst Galaxy Introducing Enhancements to Starburst Galaxy’s Autoscaler Why we need Hadoop alternatives The Icehouse: An update on our commitment to the Open Lakehouse Why choose Apache Iceberg over Databricks’ Delta Lake What is data ingestion?Apache Hadoop vs Apache Spark: What are the Differences?Why an open source data architecture is the future of data analytics What’s the difference between HDFS and S3?How AI can fail you and how to make sure it doesn’t Introducing New Data Observability Features in Starburst Galaxy – Now in Public Preview What’s New in Starburst Galaxy – April 2024 Automating the “Icehouse” – Fully-managed Open Lakehouse Platform on Starburst Galaxy Starburst brings enterprise-grade SQL analytics to Google Distributed Cloud’s air-gapped solution for regulated customers Introducing a new user experience in Starburst Galaxy What is Apache Hadoop (HDFS)?What is Apache Hive?What is a data pipeline?What is a Delta Lake?What is an open data warehouse?What is a data analytics architecture?2024 Data Rebel Award Winners What is Apache Iceberg?What is data mesh?What is an open data lakehouse?What are Open Table Formats?Introducing support for UNLOAD in Starburst Galaxy Starburst Enterprise 438-e STS Dell annonce le lancement du Dell Data Analytics Engine qui intègre Starburst et permet d’unifier toutes les données pour accélérer les projets analytiques et d’IA Data migration: Maximizing value with SQL, Trino, and Starburst Starburst Enterprise 435-e LTS product release The new Dell Data Analytics Engine powered by Starburst unifies all your data and accelerates AI and analytics Starburst Enterprise Platform Support Clarification Regarding Trino Community Connectors The Icehouse Manifesto: Building an Open Lakehouse Starburst named a leader in 2024 GigaOm Radar for Data Lakes and Lakehouses Ready, Set, Go! Trino Fest 2024 Awaits!How to implement CDC using Debezium, Kafka and Starburst Galaxy Introducing multilayer caching in Starburst Galaxy Jumpstart your future: Starburst summer internships and insider application tips!Starburst Data Products on AWS Accelerate Time to Insight Using Core Software Engineering Principles Building a security data platform Data virtualization will become a core component of data lakehouses Starburst Galaxy 2023 Wrapped Deprecation of RubiX, Alluxio, and Sentry in the Starburst Enterprise Hive connector Starburst Enterprise Support Updates: Java 21 Starburst Enterprise Platform support updates about Trino community connectors Introducing new SQL enhancements in Starburst Galaxy How Annalect Super-Charged Cross-Company Collaboration with Data Mesh Starburst Enterprise Support Updates: Java 21 2024 Data and AI Executive Survey and the European Union AI Act Do you have a TCO problem or a vendor lock-in problem?5 Challenges of data warehouses Ibis and Trino Tis the Season to Trino: Join us at Trino Summit 2023!The unbundling of cloud data warehouses Everything I knew about enterprise data warehousing is now failing me What is the value of a data lakehouse?What is the difference between database and schema?The difference between a data mesh and data warehouse Data Mesh vs Data Lakehouse: Understanding the Differences Supercharge your data marketplace with Starburst and Collibra Introducing streaming ingest in Starburst Galaxy — Now in Private Preview Introducing automated data lake optimization in Starburst Galaxy Introducing external data sharing in Starburst Galaxy Introducing AI-powered data lake analytics in Starburst Galaxy What’s New in Starburst Galaxy – re:Invent 2023 Edition Announcing the general availability of attribute-based access controls (ABAC) in Gravity How to build data transformations with Python, Ibis, and Starburst Galaxy Introducing Data Observability in Starburst Galaxy – Now in Public Preview Artificial intelligence life cycle Why wait for sequential processing when parallel is faster?State of data catalogs: The battle for your metadata Starburst Galaxy: The magic glue that secures flexible supply chain data for 7Bridges clients A data lakehouse as a hybrid solution Starburst Enterprise 427-e STS An introduction and integration: Delta Lake in Starburst Galaxy PyStarburst: the DataFrame API Starburst and Dell expand partnership to accelerate AI efforts with more intelligent data collection Joining the Revolution What are the benefits of a data lake?Combining AWS services with Apache Iceberg tables lets companies build powerful, cost-effective data lakes How to migrate from Postgres to a S3 data lake with dbt Cloud and Starburst Galaxy Building a SQL-based data pipeline with Trino & Starburst 5 considerations when configuring a cluster in Starburst Galaxy Starburst Enterprise 426-e STS Join us to celebrate Trino and round out 2023 What’s the difference between PrestoDB and PrestoSQL?Data-driven innovation: If you want to innovate with data, this is what you should do!Revamping data consumption at Meesho for modern data needs Starburst Enterprise 423-e LTS product release Introducing Python DataFrames in Starburst Galaxy – Now in Public Preview Starburst expands partnership with Google Cloud and the reach of Vertex AI with their federation engine Comparing the benefits of a data lakehouse vs data warehouse vs data lake Leveraging Starburst Galaxy for security incident response Announcing Starburst’s Community Forum BestSecret’s data journey: Moving beyond Snowflake GigaOm TCO report: Starburst data lakehouse enables 3x faster time to insight at half the cost Operationalizing data products at scale with AI Building a near real-time data lake with Onehouse and Starburst Harnessing Trino for performance engineering and data analytics at Salesforce How does data federation work?What are the challenges of using a legacy data lake?What’s New in Starburst Galaxy – August 2023 Partitioning limitations for data lake analytics How Starburst’s data engineering team builds resilient telemetry data pipelines How to use Starburst and Airflow to create resilient data pipelines Starburst Enterprise 422-e STS Data pipelines and data lakehouses Real-world evidence: Improve healthcare data-driven decision making CDC with Trino and Iceberg Generative AI and Starburst: Pioneering natural language interfaces for data exploration Time travel: What did they do to my data?Starburst Enterprise 420-e STS How to connect a client to Starburst Galaxy Starburst Galaxy Launch Week wrap up Comment Starburst Galaxy augmente et optimise votre cloud data warehouse Announcing the public preview of Warp Speed in Starburst Galaxy Achieve even faster performance on Starburst Galaxy, now powered by AWS Graviton3 Announcing the public preview of data products in Starburst Galaxy A first-class experience for Iceberg, Delta Lake, and Hudi in Starburst Galaxy Introducing cross-cloud analytics in Starburst Galaxy Inside Starburst’s hackathon: Into the great wide open(AI)Announcing the public preview of Gravity in Starburst Galaxy Tableau and Starburst Simplifies BI on the Modern Data Lake Introducing Starburst Galaxy as a data lake analytics platform Starburst and Zing: A modern data experience that’s out of this world Google Looker & Starburst Galaxy: Trusted BI for your modern data lake How row filtering & column masking enables enterprise grade security Starburst Galaxy launch week: New features and enhancements 4 Data Product Mistakes to Avoid Starburst invites the Trino community and you!Data products and data mesh: how they relate, and how they are different Starburst Enterprise support: Deprecation of legacy Cloudera platforms Designing a data lake and analytics architecture Starburst Enterprise 413-e LTS release 10 benefits and challenges of data mesh Welcome, Megan Maslanka, Starburst’s Chief People Officer!Re-architecting Trino: The development of fault-tolerant execution Top 12 benefits of data products for users and the business Securing customer data in SaaS products Accelerate AI with a data lake analytics platform Healthcare analytics: Improve patient care and maximize cost efficiency Building an open lakehouse just got easier with Starburst Galaxy & Tabular Hive vs Iceberg: Choosing the best table format for your analytics workload 4 Best practices for developing and scaling data products Tutorial: Using Starburst Galaxy’s materialized views with Apache Iceberg Tutorial: Connecting Starburst Galaxy to Tabular Modern standards for anti-money laundering monitoring Why data products are critical to environmental, social, and governance (ESG)Hosting the Trino community Build an open data lake architecture with dbt Cloud and Starburst Galaxy Accelerating environmental initiatives with OS Climate Starburst Galaxy May 2023 roundup: Optimizing for price-performance The difference between Hudi and Iceberg BCG study: Data costs & architectural complexity reach a tipping point What’s the difference between cloud object storage vs HDFS Build and run scalable transformation pipelines using dbt Cloud and Starburst Starburst Enterprise 413-e STS Designing for agile analytics Improving performance with Iceberg sorted tables Closing the data management and analytics divide in Financial Services Offload Your Cloud Data Warehouse Workloads Persona-driven data mesh design Join us at Trino Fest 2023 Starburst Enterprise 411-e STS Fine-grained governance & security to your cloud data sources with ABAC Starburst Galaxy April 2023 roundup: A new and improved security & governance experience The difference between SEMMA and CRISP-DM 7 key takeaways: The future of financial services with distributed data New integrations extend Starburst capabilities to Google Cloud’s Dataplex and BigQuery Fueling Trino large-scale geospatial analysis with Starburst Warp Speed Run optimized geospatial queries with Trino 6 ways to foster curiosity in data engineering and drive real results The hidden value of your data lake Starburst Enterprise 407-e LTS Product Release The data product lifecycle Trust MOM to guide your data transformation Starburst Enterprise 407-e LTS The data truths shall set your business free Shopify cuts execution time from hours to seconds with Iceberg and Trino Comcast’s data journey into data mesh with Starburst How data engineering fails 2023 Data Rebel Award Winners Lie #5 — Vendor Benchmarks Measure Real-World Performance Lie #4 — You need to hire to close the skills gap Lie #3 — You’re ready for the AI + ML deep end The modern data stack isn’t modern A single source of truth Datanova 2023: data rebels, may the force be with you Discussing data mesh with a digital transformation leader Trino for Large-Scale ETL @ Lyft Datanova 2023: is Data Mesh the end of data engineering?Datanova 2023: gaze into the crystal ball as it reveals the future of data Obtenir un avantage concurrentiel grâce aux Data Products : 4 leviers d’optimisation clés Building a federated data lakehouse with Starburst Galaxy Simplified Cloud Storage Governance with Starburst and Immuta Implications of Data Mesh: Redefining the Role of the CDO Over 80 Data & Analytics Statistics, Data, Trends, and Facts Dismantling the Status Quo Of Data Silos And Vendor Lock-In 4 tendances data à suivre en 2023 Tableau Cloud + Starburst: New Connector Supports Shift to Cloud-based SaaS What Are The Different Types Of Data Products Datanova 2023: The Data Rebels Are Coming, The Data Rebels Are Coming Optimizing Your S3 Data Lakehouse Architecture with Starburst Galaxy Datanova 2023: A Princess Restores Data Freedom With Her Starship Apache Iceberg Time Travel & Rollbacks in Trino How data and schema interact with a data lake and data warehouse Refresh your data faster using incremental models First dbt-trino data pipeline Setting up Trino for dbt Building lakehouse with dbt and Trino Building and governing a data mesh with Starburst and AWS Lake Formation Apache Iceberg Schema Evolution in Trino Optimize your Data Products for Competitive Differentiation Reliving the Hype: Highlights from Trino Summit 2022 Apache Iceberg DML (update/delete/merge) & Maintenance in Trino Introducing Full Query Passthrough For Faster Query Federation When to use a data lakehouse architecture Iceberg Partitioning and Performance Optimizations in Trino Join the Team: Realizing the Promise Of Big Data How To Migrate Queries From Amazon Athena To Starburst Galaxy Clarifying Data Mesh Roles And Responsibilities Countdown to Trino Summit 2022 Risk Management and Compliance Best Practices for Data Mesh What’s New in Starburst Galaxy – October 2022 6 Considerations for Choosing the Right Cloud Data Lake Solution Introduction to Apache Iceberg In Trino Build a Data Lakehouse Reporting Structure with dbt and Starburst Galaxy Accenture Master Class: How to Adopt a Data Product Mindset Data lake vs Data Virtualization The Seeds of Revolution Second Edition of Trino: The Definitive Guide Building Reporting Structures on S3 using Starburst Galaxy and Apache Iceberg The Data Virtualization Evolution is Just Beginning Space Quest League: Mission 3 Finale & Mission 4 Launch!Delivering Text Search Capabilities Directly on the Data Lake with Starburst PwC Data Mesh Study: TL;DR for Busy Executives EMEA Diaries: Starburst Founding and Growth in Poland 4 Key Things You Should Know About Indexing Five Exciting Big Data Trends Worth Taking a Closer Look Conclusion Deserialization part 2 Deserialization part 1 Parsing Printing Serialization Q&A with Javier Molina: What Hispanic Heritage Means in the Tech World Rethinking SIEM Solutions The Difference Between Micro-Partitioning vs. Indexing and a Better Way Starburst Enterprise 393-e LTS Product Release Accenture Master Class: Why Organizations Should Create Data Products Data Lake Solutions Foster a Range of Analytics Use Cases What’s New in Starburst Galaxy – August 2022 Identify threats faster with a security data lake Introducing Autoscaling in Starburst Galaxy Can the data fabric automate the creation of data products?Kicking off your career in tech: Why you should sell at Starburst Practical Security And Policy-Based Governance In A Data Mesh Trino Turns Ten!Near Real-Time Ingestion For Trino The Starburst Internship Program: Meet our Summer Interns Starburst’s First CFO: David Freeman Starburst Lakehouse: Data Warehouse Functionality, Without The Cost Scaling Up: When to Migrate from PostgreSQL to a Data Lake Announcing the 2022 Trino Summit Confessions of a Space Quest League Advocate Hiring for (Customer) Success: Come Build your Career with Starburst SOC 2 Type 2 Certification: What A Ride And Wonderful Accomplishment!Starburst Acquires Varada To Deliver Faster (and Cheaper) Data Lake Analytics EMEA Diaries: Record-Breaking Growth And New Hiring Initiatives Employee Perspective: Accelerating Data-Driven Insights in AdTech Let’s Get Granular: Why Granularity Impacts Role-Based Access Control Transforming Your Data Pipelines with Starburst Data Mesh TV: Leveraging International Data Management Standards In Your Data Mesh The Benefit Of Using An Externally-Audited Data Analytics Solution More than a 100 Data Products: Vista Leverages Valuable Data with a Data Mesh The Past, Present, and Future of Trino Starburst Enterprise 380-e LTS Product Release It’s Intern Season at Starburst: Meet our Former All-Star Interns Early Adoption of the Self-Service Data Infrastructure Data Mesh TV: Building A Digital Operations Model With A Data Mesh Starburst Listed as a Representative Vendor in the 2022 Gartner Market Guide for Analytics Query Accelerators ETL vs Interactive Queries: The Case for Both Introducing Great Lakes Connectivity for Starburst Galaxy Combining Data Mesh and Data Fabric Capabilities Starburst and Data Products: The Key to a Data Mesh Unlocking the Value of a Data Mesh Through Metadata Enter the Starburst Space Quest League for a Chance to Win Big!What to Know When Applying for a UX Internship, and How to Land an Interview Announcing Starburst’s AWS EKS Marketplace Listing Starburst Enriches Google BigQuery’s Customer Experience with Access to Data Across Hybrid, Cross-Cloud, Salesforce, and Data Warehouses Data Mesh TV: Overcoming Data Access Challenges Faster Query Processing: CPU Time Starburst and Databricks Collaborate on the Trino Delta Lake Connector Welcome to Starburst, Andrii Rosa!How data mesh and a data fabric are fundamentally changing the role of the data engineer The 2022 State of Data: A Sneak Peek Gartner® Report: Are Data Fabric and Data Mesh the Same or Different?Jump Start Your Data Mesh Strategy 5 Security Elements to Consider When Selecting a Data Access Solution Data Mesh TV: A CDO Discussion on the Data Mesh Journey Starburst Announces $250M Series D Data Mesh TV: Quantifying Risk on a Mesh Top 6 Reasons to Migrate to the Cloud Innovate Faster with Starburst Galaxy: The Embedded Data Engine Don’t Hit Reset On Your Digital Transformation What does fully managed means in the cloud The Right Way to Query Across Data Sources in Tableau (or, The Cross-Database Join Is Not Always Your Friend)Data Mesh Book Bulletin: Principle of Federated Computational Governance Achieving Lightning-Fast Analytics on the Salesforce Customer 360 Data Mesh: Federated Computational Governance EMEA Diaries: A Landmark Year of Growth and Traction in Europe Introducing Starburst Galaxy on Google Cloud 2022-25 Data Strategy: Three New Actionable Ideas for the CDO Meet Adrian Estala — Former Shell CDO and now Starburst VP, Field CDO Starburst Stargate: One Cluster to Rule Them All Data Mesh: Self-Service Data Infrastructure Data warehouse vs Lake vs Lakehouse architecture Azure data lake with Starburst Galaxy for better analytics Starburst Galaxy Now Available on AWS, Azure, GCP Starburst Achieves AWS Data & Analytics Competency Data Fabric vs. Data Mesh: What’s the Difference?Starburst Enterprise 364-e LTS Product Release Tableau is Just Better with Starburst Data Mesh: 6 Myths and Misconceptions Intro to Trino for the Trinewbie Data Mesh Book Bulletin: Principle of Self-Service Data Platform Data Mesh: Data as a Product Data Mesh Architecture: Domain-oriented Ownership Data as a Product Data Mesh: A Software Engineer’s Perspective Data Mesh Book Bulletin: Principle of Domain Ownership Data Mesh: Embracing Decentralized Data Paradigms Dynamic Filtering: Supporting High Speed Access to Data Does the data mesh make data integration harder?Countdown to Big Data LDN How Data Mesh Scales Data Virtualization The Intelligent Edge How Assurance Unlocked More Business Value with Starburst The Mars Digital Engine Accelerating Data Science with Trino EMEA Diaries: An Evening of Data Mesh, Networking, and Wine Tasting Why Performance Matters: Parquet, Delta Lake, Dynamic Filtering Starburst Vision: How We’ll Get There Data Mesh Book Bulletin: After the Inflection Point Let Starburst Light Up Your World Hybrid Distributed Data Store and RDBMS Data Mesh Book Bulletin: The Inflection Point Starburst is The Analytics Engine for Data Mesh Moving On-Premise Data to Azure Cloud ADLS The data mesh approach to analytics at scale Kafka and Starburst: 3 Considerations for Accelerating Time to Value Why Data Lakehouse Architecture Now?EMEA Diaries: Rencontrez l’équipe Starburst Europe Du Sud – Focus sur le marché analytique en France The State of Data Analysts Query Federation Made Simple at Comcast Rapid Controlled Access to Data with Starburst and Immuta Trino on Ice IV: Deep Dive Into Iceberg Internals Managing Secrets in Trino Trino on Ice III: Iceberg Concurrency Model, Snapshots, and the Iceberg Spec Trino on Ice II: In-Place Table Evolution and Cloud Compatibility with Iceberg Trino On Ice I: A Gentle Introduction To Iceberg Trino, Data Governance, and Accelerating Data Science Data Mesh: The Answer to the Data Warehouse Hypocrisy Starburst wins the Data Breakthrough Award for “Data Access Solution of the Year”!Starburst Global Access Control Why did we call our product Starburst Galaxy?What is the Hive Connector?Announcing: Starburst Galaxy Unicorn Valuation, Workhorse Values: Part 2 of Our Series C Announcement Starburst Announces $100M Series C Led by Andreessen Horowitz PrestoSQL becomes Trino The Rise of X Analytics in an Uncertain Economy Building an Inclusive Meritocracy at Starburst The Death of Apache Drill How to Prepare for Hadoop’s Uncertain Future Presto & Data Science: Getting Data Into the Hands of Data Scientists (Faster)Starburst Announces $42 Million Series B How to Optimize Trino Performance with Different Storage Layers The 4 Stages to Big Data Nirvana (In the Cloud)Consumption Layers 101 Optionality in enterprise data architectures Starburst Enterprise & Databricks Delta Lake Support The Art of Abstraction: the continuing separation of compute and storage for data analytics Starburst Enterprise Cloud 203e now 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Dremio Acquired By SAP
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Starburst and Qlik Solve for AI Data Access
June 16, 2026
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Starburst Enterprise Delivers Multi-Cluster Architecture and Lakehouse Performance to Accelerate AI
June 15, 2026
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Introducing AIDA Skills: Extending AIDA with Domain Expertise
June 12, 2026
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Ensuring Trust in AI: The Role of Business Metadata
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