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Eldad Farkash is a serial entrepreneur and technology visionary in the data and analytics industry. He is the Co-founder and CEO of Firebolt, a high-performance cloud data warehouse company. Before Firebolt, Eldad co-founded Sisense in 2004 and served as its Chief Technology Officer for over 15 years, where he was the architect of its pioneering In-Chip technology. Known for his deep technical expertise and hands-on leadership, Eldad is passionate about building solutions that solve the most complex challenges in data processing, focusing on delivering extreme speed and efficiency at scale.
Eldad Farkash's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Founded Firebolt in 2019 to build the next generation of cloud data warehousing, focusing on sub-second analytics for massive datasets. As CEO, he leads the company's strategy and vision to deliver the fastest and most efficient data analytics platform on the market.
Co-founded Sisense and led its technology vision as CTO for over 15 years. He was the chief architect behind the company's core 'In-Chip' technology, a key innovation that propelled Sisense to become a global leader in the business intelligence and analytics market.
Recognized as a key innovator for his work on high-performance data analytics engines. His contributions, from Sisense's In-Chip engine to Firebolt's unique indexing and decoupled architecture, have significantly advanced the industry's ability to query and analyze large volumes of data with unprecedented speed.
Reichman University - Year 2001
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Firebolt is a cloud-native data warehouse designed for high-performance, sub-second analytics at scale. It provides an SQL-based query engine optimized for complex data applications and interactive dashboards, separating storage and compute to offer greater flexibility and efficiency. By focusing on speed and cost-effectiveness, Firebolt enables developers and data engineers to build data-intensive applications that require rapid query responses on large datasets.
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