Varada Named a ‘Cool Vendor in Data Management’ by Gartner

By Eran Vanounou
October 21, 2020
October 21, 2020

We are thrilled to share that Varada was chosen to be included in the Cool Vendors in Data Management report by Gartner, Inc. This is a strong confirmation of our approach to the market and our technical vision for helping organizations achieve their business goals through data virtualization

Embracing the Data Lake Architecture

Data and Analytics Leaders looking to accelerate time to value for their data lake initiatives may find much to like in Varada’s relatively light-weight and simple approach” observes Adam Ronthal, VP Analyst at Gartner.

And indeed, Varada’s mission is to enable organizations to be ‘data first’ by embracing the data lake architecture and instantly monetizing all available data, at a predictable and controlled budget.

It’s exciting to see others taking notice of our unique indexing technology and the value it delivers to the data management market.

“Varada is part of a crop of emerging vendors that is providing optimization of data on data lake infrastructure. Using their dynamic indexing technology, Varada builds indexes on operational data as it is ingested, stores these indexes in high-performance NVMe SSDs, and leverages them as a query optimization and acceleration,” says Adam Ronthal.

The New Standard for Data Virtualization

Varada offers a new standard in data virtualization. It eliminates data silos and the resulting strain on data ops teams with our smart indexing technology and machine-learning-powered automation tools that optimize for each query workload’s unique budget and performance requirements. Varada brings order to wild, unpredictable and economically unsustainable swings in query infrastructure costs while dramatically boosting query performance directly on the data lake.

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Varada addresses the problem that each query has different tradeoffs between price and business requirements. Because accelerating every query to its maximum extent imposes unsustainable infrastructure costs, data ops teams struggle with prioritizing queries so that each meets its unique price versus performance requirements. 

Varada offers powerful platform capabilities allowing data architects to define each query’s priorities and budget. Based on advanced ML-engines, Varada then handles all data ops related to optimization and workload governance. Even without the input of data architects, Varada continuously monitors queries to identify heavy users, hotspots, bottlenecks and more to deliver actionable insights on how queries perform.

The Power of Big Data Indexing

Varada’s unique indexing technology efficiently indexes data directly from the data lake across any column so that any query on a dataset that has an index build will be optimized automatically. Our indexing technology breaks data, across any column, into nano blocks. Varada automatically chooses the most effective index for each nano-block based on the data content and structure. This unique indexing technology is what makes all your data available and interactive.

Varada’s machine-learning optimization tools continuously track cluster performance and data usage. Varada monitors queries on a workload-basis to see which tables and columns are used the most, how queries are running and where bottlenecks form, and automatically adapts the operational dataset. Varada also leverages advanced cost-based optimization to ensure the best possible resource utilization.

The full Gartner “Cool Vendor in Data Management” by Merv Adrian, Donald Feinberg, Adam Ronthal (October 16, 2020) is available to Gartner subscribers here.

Gartner does not endorse any vendor, product or service depicted in our research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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