Qbeast

Qbeast

Provides fast and interactive big data analytics by making it easier to manage data lakes. Learn more

Launch date
Employees
Market cap
-
Enterprise valuation
€10—15m (Dealroom.co estimates Feb 2023.)
Company register number B01819960
Barcelona Catalonia (HQ)

Financials

Estimates*

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Revenues, earnings & profits over time
USD20222023
Revenues1.1m1.3m
% growth-14 %
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DateInvestorsAmountRound
-

N/A

-

N/A

Spinout

€520k

Seed

$180k

Debt
*

€2.5m

Seed
Total Funding€3.0m

Recent News about Qbeast

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More about Qbeastinfo icon
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Qbeast.io is a startup operating in the Big Data and cybersecurity markets. It offers an open-source data format that enhances the speed and efficiency of data analytics. This technology is particularly useful for businesses that handle large volumes of data and need to perform complex analyses quickly and cost-effectively.

Qbeast's primary offering is Qbeast-Spark, an enhanced Data Lakehouse that uses indexing and sampling on Data Lake to improve query speed. This means that when a business needs to find specific data, Qbeast's technology consults an index to locate the target data, avoiding the need to read the entire table from the storage. This reduces data transfer and speeds up the process.

The company's technology has been proven to save up to 98% of cloud costs in cybersecurity analysis and can train 10 times faster using statistical representative sampling in fraud detection. This makes it an attractive solution for businesses in the cybersecurity and financial sectors, among others.

Qbeast operates on an open-source model, which means that its technology is freely available for anyone to use, modify, and distribute. This model encourages collaboration and innovation, allowing the technology to grow and adapt to the needs of its users.

In terms of revenue, Qbeast likely makes money through a combination of support services, custom development, and partnerships. Businesses that use Qbeast's technology may pay for additional services such as technical support, custom development, or integration with their existing systems.

Keywords: Big Data, Cybersecurity, Open-Source, Data Analytics, Indexing, Sampling, Data Lakehouse, Cloud Cost Saving, Fraud Detection, Community Collaboration.

Tech stack

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Tech stackLearn more about the technologies and tools that this company uses.