Tel Aviv-based Edelbyte emerged from stealth with $70 million in funding led by Sequoia and Quiet Capital. Founded by former Microsoft executives who built Azure Data Explorer, the data analytics platform targets Snowflake and Databricks with AI-optimized infrastructure that handles petabyte-scale environments at sub-100ms latency while reducing costs for Fortune 500 customers.

Former Microsoft Executives Launch Edelbyte with $70 Million Funding

Edelbyte, a data infrastructure startup founded by former Microsoft executives, launched today with $70 million in combined seed and Series A funding.

1

2

The investments were led by Sequoia and Quiet Capital, with participation from Greenoaks and Swish Ventures. According to CTech, the Tel Aviv-based company is valued at $500 million.

1

The founding team includes Avner Aharoni as CEO, Evgeney Ryzhyk as CTO, Alexander Sloutsky as VP of Engineering, and Yoni Leibowitz as VP Platform Engineering, each bringing approximately 20 years of experience from Microsoft.

2

These executives previously developed Azure Data Explorer, commonly known as Kusto, a tool for analyzing real-time information streams used across dozens of Microsoft products and services.

1

Source: SiliconANGLE

Source: SiliconANGLE

Multi-Purpose Data Analytics Platform Targets $300B Market

Edelbyte positions itself as a direct challenger to data infrastructure giants including Snowflake, Databricks, and ClickHouse in the $300 billion data market.

2

The unified search and analytics platform is designed to store up to hundreds of petabytes of data per deployment, handling both standard records and vectors used by AI agents for knowledge representation.

1

Vectors store not only data snippets such as product listings but also information that makes it easier to find similar items. The platform supports diverse query types, from search engine lookups to business intelligence analytics calculations and graph processing for analyzing interconnected data points.

1

Customers migrating from legacy systems are seeing reduced platform costs and, in some cases, ten times as many queries within the same budget.

2

AI Workloads Drive Performance Innovation

Edelbyte claims its platform can query multi-petabyte datasets with sub-100ms latency, addressing a critical challenge as AI agents generate significantly more queries and demand fast answers to complex, unpredictable questions.

1

2

The platform employs query federation technology, which eliminates the need to move data into dedicated processing environments. Instead, Edelbyte runs queries directly in systems where data is already stored, speeding up processing and reducing bandwidth consumption.

1

The platform also automates index generation and customization, creating shortcuts tailored to specific application data access patterns that traditionally required extensive manual work.

1

Fortune 500 Customers Already Running Petabyte-Scale Environments

Roughly one year after its founding in 2025, Edelbyte has already secured leading Fortune 500 customers running petabyte-scale deployments.

2

"The systems companies rely on to search and analyze their data were built for a world before AI," said CEO Avner Aharoni. "As it becomes central to how businesses operate, the volume and complexity of data queries will grow far beyond what legacy infrastructure was designed to handle."

1

Bogomil Balkansky, Partner at Sequoia, noted that "Builders need data infrastructure that expands what they can create while making the economics and operations work at scale. Edelbyte combines rich analytics, deployment flexibility, and an architecture built for efficiency, with AI as a core workload."

2

The platform runs in any public or private cloud and on-premises, with both managed and self-hosted options.

2

Edelbyte plans to use its funding to expand its enterprise customer base, grow its international presence with offices in Tel Aviv and San Francisco, and hire additional employees to support global growth.

1

2

© 2026 TheOutpost.AI All rights reserved