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Tel Aviv, Tel Aviv, Israel
Varada enables data architects to seamlessly accelerate and optimize workloads, using dynamic analysis and adaptive indexing.
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The Founders

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David Krakov

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Roman Vainbrand

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Tal Ben Moshe

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Nanda Kumar

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Allen Sebastian

Last Funding Round
Series A
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Varada's data platform runs in your AWS VPC and can dramatically accelerate queries that run directly on your data lake. No need to move data or model it to get those blazing fast queries users demand. Any SQL app, BI tool or even analysts and data scientists can easily query any data source in your data lake, without the need to move data, prepare or model it in advance. >>How fast is “fast”? Varada is 10x-100x faster than any other data lake query engine. Data teams and users no longer need compromise on performance in order to achieve agility and fast time-to-insights. You can really have it all! You can find a Visual Benchmark against AWS Athena. >>How does it work? Queries perform so much faster based on Varada’s dynamic and adaptive indexing technology. Unlike partitioning-based platforms, Varada indexes any column in any table so we can fetch data extremely fast. The indexing is adaptive to the type of data and Varadad’s engine knows automatically which data to index based on a smart observability layer that continuously monitors demand. Indexing is best for complex queries that run on highly dimensional data, that would have otherwise required extensive modeling to achieve acceptable response time. We didn’t just stop at performance. We know how important budgets are. Different queries have different priorities and requirements. Admins can now easily assign budgets and priorities to each set of queries so you can say goodbye to notorious budget-busting surprises. You can also expect a 40%-60% reduction in TCO because Varada’s query engine is very light on compute resources and doesn’t require any data duplication or additional ETLs.

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