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Databloom's Blossom Achieves Faster and More Efficient Big Data Analytics

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Blossom Sky enables federated learning at ease Tap into all of your data Databloom AI
New benchmark results show that Databloom's Blossom platform outperforms competitors in speed, scalability, and cost-effectiveness.

MIAMI - s4story -- 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.

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"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.

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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/.

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Source: Databloom AI

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