Data Lake, Technologies
Machine Learning

Business Overview

Varada was founded by a team of data, storage and networking experts.

By combining the best storage and networking talents and technologies available (SSD and NVMe), we are able to leverage indexing for massive amounts of data at incredible fast response time.

Though enterprises collect massive amounts of data, only a small portion of it is actually operational and can be used effectively due to the complexity and extensive processing effort (time-to-value and cost) required.

Varada offers a big data infrastructure solution for fast analytics on thousands of dimensions.

Based on Varada’s Inline Indexing™ technology, we enable large and complex datasets to optimally serve analytics users and apps by making filtering, joining and aggregating data extremely fast on every dimension of any data source.

Unlike pre-aggregations or projections used for operational analytic needs, Varada’s Indexed View maintains the full cardinality and dimensionality of the underlying data, ensuring maximum flexibility and eliminating the need to predict and optimize for specific user workflows.

September 2016
Business model
Offering type
Funding stage
Series A
Total funding
$22 Million
Data Lake, Technologies

Funding Rounds

Calculated as the average ratio between the current funding round amount raised and the previous funding round amount raised. Note that 'plus' rounds are summed together. i.e. Series A = Series A and Series A+.

New wpDataTable

Date Announced

Funding Round

Amount Raised


January 2019
$7.5 M
March 2017
$2.5 M

AI Technology Stack

AI Description

Varada’s machine-learning optimization tools continuously track cluster performance and data usage. Varada monitors queries on a workload-basis to see which tables are used the most, how queries are running and where bottlenecks form, and automatically adapts the operational dataset.

AI types
Machine Learning

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