- Products
- -
- Starburst vs OSS Trino
- Why Icehouse with Starburst
- Open Data Lakehouse
- Data Mesh
- Artificial Intelligence
- ELT Data Processing
- Data Applications
- Data Migrations
- Data Products
- Pricing
- Customers
- -
- Learn
- -
- Partners
- -
- About
- -
- Login
- Start Free
Starburst Galaxy
Fully managed in the cloud
Starburst Enterprise
Self-managed anywhere
By Use Cases
By Industry
Documentation
Connect
Education
×
Blog
Resources
Pages
Documentation
Author
Cindy Ng
Sr. Manager, Content, Starburst
Cindy Ng writes about what new data management and analytics strategies mean for both large enterprises and startups. Prior to Starburst, she's written and spoken about ransomware, insider threats, data security, data compliance standards, algorithmic audits, and data ethics.
Showing 12 of 35 results
5 Ways to solve the disparate data problem and drive business outcomes
July 1, 2024
Enterprise data architectures are not pristine. They evolve to create a patchwork of different data systems, structures, and formats. Somehow, engineers must stitch everything...
Advanced Data Management: Trino, Hadoop, and AWS for a Robust Lakehouse
June 12, 2024
Apache Hadoop revolutionized enterprise data management by offering an open-source alternative to expensive proprietary data systems. Companies could process massive datasets using the commodity...
Enhancing Apache Hadoop Data Management with Trino and Starburst
June 1, 2024
For almost two decades, companies have built big data processing architectures based on the Hadoop ecosystem. To extend the Hadoop project beyond its core...
What’s the difference between Apache Parquet vs AVRO
May 30, 2024
The modern data lakehouse combines Apache Iceberg’s open table format, Trino’s open-source SQL query engine, and commodity object storage. Open file formats also influence...
What’s the difference between batch vs streaming data processing
May 29, 2024
Batch and streaming data processing are techniques companies use to analyze data from very different sources. Although it dates back to the era of...
Why we need Hadoop alternatives
May 5, 2024
Apache Hadoop’s distributed storage and processing framework solved turn-of-the-century challenges by letting companies manage the large scale data of the day on their data...
The difference between Hadoop and Spark
April 30, 2024
Hadoop and Spark are big data processing frameworks. The former arrived when big data lived in the data center, while the latter emerged to...
What’s the difference between HDFS and S3?
April 17, 2024
Computing history steadily progressed from expensive, proprietary technologies to more affordable, scalable open platforms. Enterprise reliance on mainframe vendors to process large amounts of...
How AI can fail you and how to make sure it doesn’t
April 12, 2024
At Data Universe, Benn Stancil took the stage to deliver provocative talk, drawing parallels between the evolution of internet and the current state of...
Starburst named a leader in 2024 GigaOm Radar for Data Lakes and Lakehouses
February 21, 2024
We are excited to announce that GigaOm has recognized Starburst as an Outperforming Leader for the second consecutive year in the 2024 GigaOm Radar...
What’s the difference between Iceberg vs Delta Lake?
January 15, 2024
Apache Iceberg and Delta lake are both members of a new generation of data lakehouse technologies built to drive data warehouse functionality and performance...
2024 Data and AI Executive Survey and the European Union AI Act
January 4, 2024
The annual Data and AI Leadership Executive Survey is here and it offers important insights into the evolving roles and challenges of Chief Data...
A single point of access to all your data
© Starburst Data, Inc. Starburst and Starburst Data are registered trademarks of Starburst Data, Inc. All rights reserved. Presto®, the Presto logo, Delta Lake, and the Delta Lake logo are trademarks of LF Projects, LLC