Cloud Native

New Varada Feature Helps Deliver Text-Optimized Performance Directly On Data Lake For SQL Data Consumers

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Varada has announced a new capability of its platform designed to support text analytics workloads and help data teams deliver faster time-to-insights on exabytes of string-based data.

Varada’s solution for interactive text analytics—integrated with the open source search engine Apache Lucene—works directly on the customer’s data lake and serves SQL data consumers out-of-the-box. As a result, data teams can achieve maximum performance without moving data, duplicating or modeling it.

Today’s announcement means that Varada’s technology can give companies actionable business insights by leveraging 10 times more data and delivering results up to 100 times faster. Varada’s text analytics feature is easily deployed in the organization’s own environment, so the data is not duplicated and never leaves.

Moreover, it incorporates all data from any source without modeling, which means data teams get “zero time to market” with results that are both thorough and precise.

Varada’s adaptive and autonomous indexing technology leverages machine learning (ML) capabilities to accelerate queries to meet evolving business requirements. Varada indexes data directly from the data lake across any columns.

Varada’s smart engine detects bottlenecks automatically and adjusts the cluster and acceleration techniques to ensure business requirements are met at the allocated budget.

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