Augment AWS Athena to support interactive queries at sub-second speeds on your AWS data lake.

Performance Benchmarking: AWS Athena vs. Varada

Interactive Queries ran sub-second, while reducing scanned data from GBs to KBs!

AWS Athena vs Varada (Benchmarking)


Dramatic Performance & Resource Utilization Uplift


Varada is deployed in your VPC. No need to move or duplicate data.


Reduce AWS Athena cost and deliver a predictable cost structure.


Avoid manual query re-writes to support a wide range of SQL data consumers.


Accelerate text and logs analytics on top of your data lake.

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Schedule a demo or get in touch with our data experts.

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Varada enables data architects to seamlessly accelerate and optimize workloads, using dynamic analysis and adaptive indexing, resulting in optimal control over performance and cost.

Varada’s data platform runs in your cloud environment, enabling any SQL consumer to easily query any data source.

Dynamic indexing technology eliminates the need for full scans and can accelerate queries automatically without any overhead to query processing or any background data maintenance. Users see performance benefits when filtering, joining and aggregating data. 


Indexing works transparently for users and indexes are managed automatically by a proprietary cost-based optimizer extensions. Varada’s unique indexing efficiently indexes data directly from the data lake across any column so that every query is optimized automatically.

The indexes adapt to changes in data over time by splitting each column into small chunks, called nanoblocks. To ensure fast performance for every query, the platform dynamically selects from a set of indexing algorithms and indexing parameters that adapt and evolve as data changes to ensure best fit index any data nanoblock.

Athena White aper


Augmenting AWS Athena to Optimize Performance & Cost

This new whitepaper explores the alternatives to standardize on a data virtualization architecture and serve a very wide range of use cases on a single data platform and without the need to move data elsewhere.

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Closing Data Virtualization Gaps

Data virtualization was designed to deliver flexibility and quick time-to-market. But, to truly achieve performance and cost requirements, data teams are challenged by heavy data-ops. Varada enables large and complex datasets to optimally serve analytic users and apps by automatically making them extremely fast and instantly operational.


x10-x100 Faster

Response Time For Any Query

Varada’s dynamic and adaptive indexing technology ensures queries will run at interactive response time, especially highly selective queries. Varada automatically analyzes and detects which datasets to accelerate, and then applies the optimal index, while giving data architects full control in prioritizing workloads and define budgets and performance requirements.



Your Entire Data Lake

To ensure performance, many enterprises compromise on accessing all their available data and settle for isolated data silos that have been prepared and modeled to enable speedy queries. Varada instantaneously transforms your available data into operational data so you can say goodbye to lengthy data preparation projects and leverage x10 more data . Varada enables queries to run on any column at its source granularity, unlocking the true value of data.


Self-Optimizing & Budget-Based

Cluster Management

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. Varada also leverages advanced cost-based optimization to ensure the best possible resource utilization.


Serve Data Consumers

In Your Cloud Environment

Varada is deployed as a private managed service, running in your Virtual Private Cloud (VPC), so that data is not duplicated and does not need to leave your account. Varada seamlessly connects to all your existing data sources and serves any SQL data consumers out-of-the-box.

There's a New Standard for Data Virtualization

Meet Varada. 

With the use of dynamic analysis and adaptive indexing data architects are able to seamlessly accelerate and optimize workloads - resulting in optimal control over performance and cost. 

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