MIAMI - TelAve -- 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 TelAve News

• INshed Now Offers Nationwide Shipping of Fully-Assembled, Eco-Friendly Backyard Offices
• Entrinsik Appoints Madhavi W. Chandra as Chief Product Officer
• Golden Ticket Productions Launches New Website
• Perfect Ffit: the new mobile game that puts your timing and strategy skills to the test. Can you get a Perfect Fit?
• Aquia Launches Amazon Web Services (AWS) Cloud Security Assessment Offering, Pairing Automation With Deep Cloud Security Expertise

"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 TelAve News

• Orbex Launches New ZERO Spread Trading Account with $1 Commission per Side
• Alpha Gold Fund Receives Recognition Of Excellence Awards
• Ohio County Commission President & Founder of the Cincinnati Black Music Walk of Fame, Alicia Reece, Announces Grand Opening of New Tourism Attraction
• New York Komedians Presents an Evening of Laughs at Broadway
• Redefining Professional Spaces: The Rise of Dual-Purpose Backyard Office Sheds in America

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/.