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We’ve introduced a ton of new features in Starburst Galaxy that help you tailor your cluster’s performance to the needs of your workload. In...
Today, we are thrilled to introduce support for Python DataFrames in Starburst Galaxy with the launch and support of the PyStarburst and Ibis libraries! These libraries enable you to leverage the flexibility of Python while capitalizing on the scale and performance of the leading MPP SQL query engine. This also allows for a more seamless integration into development practices like version control, CI/CD, unit tests, etc.
Today, Starburst and Google Cloud are announcing a deeper partnership to advance AI capabilities for our customers. Starburst is a unified data lake analytics...
Data analytics certification program to learn about topics such as data lakes and data lakehouses, and modern table formats like Apache Iceberg.
Last week, we shipped our inaugural Galaxy Launch Week. Here’s everything we launched in a single post. Security: row-filters and column masks In public...
The rising popularity of the data lakehouse has led many to try to compare the merits of the open table formats underpinning this architecture:...
Generative AI has been taking the tech world by storm lately. Indie developers to large enterprises are experimenting with its impact not only in...
Answering predetermined questions was based on a centralized and well-articulated data model, but failed to enable data exploration, experimentation and evolution of the data-driven business strategy. These failures only get worse with time as more data needs to be integrated and the platform becomes more fragile to change. Ultimately this fails to deliver timely and competitive business results. As we’ve seen, providing known data to answer known questions can be done using many well-known data architectures, but that’s only part of the story.
Adopting a data lakehouse architecture over a traditional data warehouse comes with many business benefits. In fact, these differences are often the key reason that organizations make the transition from older technologies to modern ones. Let’s explore the business case for the adoption of a data lakehouse, also known as modern data lake, and see how it can improve versatility, maintain performance, and reduce costs. To do this, we’ll compare the differences between a data warehouse and data lake then discuss the hybrid advantage of a data lakehouse.
Starburst offers a shift – a shift left to a more lean model of delivering data for analytics bringing the compute to the data, instead of the data to the compute.
Of all the seventy-plus speakers at the festival, there was one presentation that I found to be particularly interesting – and not because the speaker also happens to be our customer. That presentation was from Lutz Künneke, Director of Engineering, and Isa Inalcik, Senior Data Engineer, at BestSecret, a leading European online destination for off-price fashion based near Munich, Germany. As Künneke got to the stage, the first words out of his mouth were: “We are moving off of Snowflake.”
We explore how AI and data products are coming together to improve the user experience and to accelerate the delivery of innovative business solutions. Some of these are based on conceptual discussions, and others are based on actual use cases. Early strategic vision is usually painted with some crayons (curiosity and imagination) and watercolors (experience and detail).
Learn how Salesforce uses Trino for data analytics and performance engineering, boosting service availability and customer experiences through efficient insights and real-time data access.
If you’re a data engineer tasked with building and managing data pipelines, Starburst Galaxy enables you to build a data pipeline workflow using modern data lakes and SQL. This approach offers both simplicity and power. What might have required a complex, user defined function (UDF) in Python using other systems can be accomplished with the accessibility and universality of SQL alongside the ease and cost effectiveness of the data lake.
We’ve introduced a ton of new features in Starburst Galaxy that help you tailor your cluster’s performance to the needs of your workload. In...
Another batch of backport releases for our long-term support (LTS) versions of Starburst Enterprise platform (SEP) is now available. ...
Starburst Enterprise platform (SEP) 426-e STS has been released as a follow-up to the 423-e LTS release. ...
The momentum for the Trino project keeps accelerating, and we want to share the latest and greatest developments with the community. After the successful...
Discover how Meesho revamped their data consumption, transitioning to a data lake architecture and utilizing Starburst Gravity to optimize query performance, scalability, and cost-effectiveness.
Stay up to date on the latest and greatest from Starburst. Subscribe to our blog posts and customize what you'd like to receive.
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