VARADA
Active
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.

Founded
September 2016
Business model
B2B
Offering type
Software
Funding stage
Series A
Total funding
$22 Million
Sectors
Data Lake, Technologies

Funding Rounds

Date Announced

Funding Round

Amount Raised

Investors

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

Similar Startups

STATUS
Active
FUNDING
$50.1 M
FUNDING STAGE
Series B

Related Investors

TYPE
Venture Capital
PORTFOLIO
12
TYPE
Corporate Venture Capital
MIN CHEQUE
$1 M
PORTFOLIO
2
TYPE
Venture Capital
MIN CHEQUE
$2 M
PORTFOLIO
1
TYPE
Company

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