e6data

e6data

Lakehouse compute engine designed for your heaviest, most compute-intensive workloads.

HQ location
San Francisco, United States
Website
Launch date
Employees
Enterprise value
$40—60m
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DateInvestorsAmountRound
-investor

€0.0

round
investor investor investor investor investor investor investor investor

€0.0

round
*

$10.0m

Series A
Total Funding000k

Financials

Estimates*

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Revenues, earnings & profits over time
USD20222023
Revenues00000000
% growth-60 %
EBITDA00000000
Profit00000000
EV00000000
EV / revenue00.0x00.0x
EV / EBITDA00.0x00.0x
R&D budget00000000

Source: Dealroom estimates

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More about e6data
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E6data is a cutting-edge analytics engine that offers a significant advancement in data processing technology. It provides a cost-effective and highly efficient solution for data analysts, data scientists, operational teams, and executives. The company's primary function is to enhance the speed and efficiency of data analytics, offering 5 to 20 times the price-performance gains over existing data platforms.

E6data's services include faster dashboard and report generation, working on granular data, improving performance while reducing costs, and providing timely answers to complex data questions. The company's technology can be easily integrated into existing platforms with minimal changes, saving thousands of hours of wait times each day for key employees.

The company operates in the big data analytics market, serving a wide range of clients including data teams at various companies. Its business model is based on providing a superior analytics engine that helps businesses avoid spikes in analytics costs as their data volumes, number of queries, and number of data consumers grow.

E6data's technology is inherently secure, ensuring that client data remains where it is and is governed by the client's rules. The company's platform can be set up quickly and easily through their web UI, requiring no DevOps or Engineering effort.

In summary, E6data is a game-changer in the world of big data analytics, offering a radically new approach to ultra-high performance data analytics. It empowers businesses with a culture of data exploration and rapid experimentation, leading to faster, more efficient decision-making.

Keywords: Big Data Analytics, Cost-effective, High Performance, Data Processing, Data Security, Rapid Integration, Data Exploration, Efficient Decision-making, Data Scientists, Operational Teams.

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