Modern Analytics, Delivered: Big Industries Partners with Starburst

Big Industries and Starburst Data Partner to Deliver High-Performance, Scalable Analytics on Modern Data Architectures

We’re excited to announce a new partnership between Big Industries and Starburst Data—uniting our strengths in data platform engineering and distributed query optimization to help organizations build fast, flexible, and future-proof data ecosystems.

Solving the Modern Data Challenge

In today’s complex data landscape, organizations are struggling to unify fragmented data sources, reduce data movement, and make analytics scalable without sacrificing governance or performance. Traditional approaches to data integration—relying on rigid ETL pipelines and centralized data warehouses—are increasingly too slow and expensive to meet business demands.

This is where Big Industries and Starburst come in.

A Partnership Built on Complementary Strengths

At Big Industries, we specialize in designing and implementing modern, cloud-native data platforms on technologies like AWS, Azure, Cloudera, Confluent, Databricks and now Starburst. Our teams work closely with clients to architect data solutions that are secure, scalable, and tailored to specific business needs—whether that's a data mesh, data lakehouse, or centralized enterprise data platform.

Starburst offers the fastest path to distributed analytics across any data source. Built on the open-source Trino engine, Starburst enables federated SQL queries across object storage (e.g., S3, ADLS), relational databases (e.g., PostgreSQL, MySQL, Oracle), NoSQL stores, and more—without moving data. It also supports cost- and performance-optimized access through intelligent caching, data locality awareness, and fine-grained access control.

Technical Advantages of This Partnership

By integrating Starburst's powerful analytics platform into Big Industries' cloud data solutions, our clients can:

• Query Data Across Any Source: Utilize Starburst’s distributed SQL query engine to access data directly from various sources such as data lakes (Amazon S3, Azure Data Lake Storage, Google Cloud Storage), databases, and on-premises storage without complex data movement or ETL pipelines.
• Real-Time Analytics: Achieve near real-time querying capabilities with high concurrency and low latency, significantly reducing the time to insight.
• Optimized Performance and Scalability: Leverage Starburst’s advanced cost-based query optimizer and Big Industries’ expertise in infrastructure tuning, ensuring optimized query execution and cost efficiency.
• Secure, Compliant Architectures: Benefit from integrated security controls, robust authentication and authorization mechanisms, data masking, and encryption facilitated by Big Industries’ security practices combined with Starburst’s enterprise-grade features.

Enabling Data Mesh and Lakehouse Architectures

This partnership is especially valuable for organizations embracing data mesh principles. With Starburst as the semantic and query layer, and Big Industries building robust data domains and infrastructure, clients can implement true decentralized data ownership—without sacrificing discoverability or interoperability.

Likewise, for those building a data lakehouse, Starburst’s support for open table formats (like Iceberg, Delta Lake, and Hudi) allows real-time analytics on raw and curated data—while Big Industries ensures that the storage, pipelines, and metadata layers are enterprise-ready.

Ready to Build the Future of Analytics?

With Big Industries and Starburst, your teams can:

• Query data where it lives—without ETL bottlenecks

• Build performant, secure, and future-proof data platforms

• Enable real-time insights across your entire data estate

Let’s talk about how we can help you streamline your architecture, reduce costs, and deliver faster insights with modern data technologies.