Run any Data Application Directly on Your Data Lake

Seamlessly support performance, concurrency and agility requirements for any SQL data application, running on hundreds of TBs stored in the data lake.

Data Lake SolutionsFail to Support Performance Requirements

The complexity and extensive processing effort required to serve data-driven applications and APIs, in terms of time-to-value and cost, create a significant challenge in fully monetizing data assets. Existing solutions only optimize one aspect of the problem: either performance or business agility. Optimizing performance requires major data modelling and pre-aggregations which limit the ability to support application development velocity. Some solutions that support rapidly changing data requirements often deliver unacceptable SLAs due to ETL / processing delays, and a reliance on large data scans.


Varada’s Indexing SolutionDelivers an Interactive SLA without Compromising on Agility

Varada’s data infrastructure platform indexes data on all of dimensions, at the structure and granularity of the source. Varada operates directly on top of existing sources of truth. Varada automatically synchronizes changes and indexes new data rapidly. Queries can be served to accommodate operational SLAs less than 60 seconds from data arrival. By eliminating and modeling, Varada enables any query to run while supporting various SLAs on response time, concurrency for users and analytics API calls, and data freshness.

Set Your Customer Data Free

Optimized for Any Query

Varada adaptively and fully indexes all dimensions of trillions of rows, supporting any standard SQL query.

Eliminate Pre-aggregations

Cut down on manual modeling to support fast time-to-value and ensure optimal query flexibility.


Deliver x100 faster query response time across any dimension, using the index to filter, join and aggregate data.


Deliver predictable and consistent SLA on response time and data freshness. Support different SLA tiers to optimize data monetization.


Define any operational dataset on any data source with a standard SQL command. Easily adjust the operational dataset to support high-velocity application development and various customer requirements.

Any Data

Varada connects directly to a wide range of data sources, including the data lake (AWS S3, on-prem Hadoop, etc.), data catalogs (Hive Metastore, AWS Glue) and other sources 
(MySQL, PostgreSQL, etc.).

Your VPC

Keep data in your full control and in your own VPC, employ existing security policies.

Presto for Applications

Extend your Presto-based workflows to support low latency analytics with materialized indexed views.

Varada’s Data Lake Analytics Platform

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