MIAMI - Tennsun -- Databloom, the federated learning and big data analytics startup, today announced the results of a new benchmark study that demonstrates the superior performance of its Blossom platform. The study, conducted by a research team at TU Berlin, compared Blossom with two other popular big data analytics platforms on various metrics, such as query execution time, data ingestion rate, concurrency support, and total cost of ownership.

The results show that Blossom is up to 10 times faster than other data processing frameworks at executing complex queries on large datasets. It can also ingest data at a rate of 1 TB per hour, which is five times faster than the next-best platform. Moreover, Blossom can support up to 100 concurrent users without compromising on performance or reliability. In terms of cost-effectiveness, Blossom offers a compelling pricing model that allows customers to only pay for what they use, resulting in up to 50% savings compared to other platforms.

More on tennsun.com

• Honoring Black History, Culture, and Community in Fall River
• Token-Operated Sake Service Opens at Tobu Nikko Station
• A Radical an Authentic Memoir About God's Grace By Dr. Sarah Grace
• Innovative EDM Music Project, "Terms of War," Depicts an A.I. Takeover of Earth
• DivX Enhances AVI Playback Resources; Simplifies Guide to Playing AVI Files with DivX Software

"We are thrilled with the benchmark results that validate our vision of delivering faster and more efficient big data analytics to our customers," said Alexander Alten, CEO and co-founder of Databloom. "Blossom is designed to handle massive amounts of data with ease and agility. It empowers businesses to gain insights from their data in real time and make smarter decisions."

Blossom is a federated learning platform that leverages artificial intelligence and machine learning to automate and optimize big data analytics workflows. It enables users to connect to various data sources, transform and analyze data using Java, SQL, or Python, visualize and share insights by providing a collaboration interface, and scale up or down as needed. Blossom supports a wide range of use cases, such as business intelligence, customer analytics, fraud detection, risk management, marketing optimization, and more.

To learn more about the benchmark study and how Blossom can help your business achieve faster and more efficient big data analytics, visit https://www.databloom.ai/blog/benchmarking-datablooms-blossom-achieving-faster-and-more-efficient-big-data-analytics.

More on tennsun.com

• Patrick Aloni Joins Historic Gold and Copper Discovery in Argentina with Multimillion-Dollar Stake
• Edtech Startup Young Commanders Launches 'Visionaries Without Sight' Collection Celebrating Blind and Visually Impaired Historical Figures
• Honoring Legacy, Uplifting Futures: CEPS June Events Begin
• Goldstar Rehabilitation Celebrates 15 Years of Early Intervention Across Southeastern PA
• United States Congressional Candidate Peter Coe Verbica Unveils 25-Point Federal Plan to Help Make California Affordable Again

About Databloom
Databloom is a federated learning and big data analytics startup in Miami, FL, that helps businesses unlock the value of their data. Founded in 2022 by a team of experienced data scientists, researchers, and engineers, Databloom aims to democratize big data analytics by making it accessible, affordable, and actionable for everyone. Databloom's flagship product, Blossom, is a federated learning platform that leverages artificial intelligence and machine learning to automate and optimize big data analytics workflows. Blossom Sky serves customers across various industries, such as e-commerce, finance, healthcare, media, and retail. For more information, visit https://www.databloom.ai/.