Self-Optimizing Cloud
Data Virtualization

Varada’s dynamic and adaptive big data indexing solution enables to
balance performance and cost with zero data-ops.

See the magic on AWS

Varada’s data virtualization technology serves as a smart acceleration layer on your data lake, which remains the single source of truth, and runs in the customer cloud environment (VPC). Varada enables data teams to democratize data by operationalizing the entire data lake while ensuring interactive performance, without the need to move data, model or manually optimize.

Our secret sauce is our ability to automatically and dynamically index relevant data, at the structure and granularity of the source. Varada enables any query to meet continuously evolving performance and concurrency requirements for users and analytics API calls, while keeping costs predictable and under control.

Zero Data-Ops.

Zero
Data-Ops.

Varada automatically accelerates queries according to workload behavior and automatic detection of hot data and bottlenecks. The platform also enables data teams to define business priorities and accordingly adjust performance and budgets, eliminating the need to build separate silos for each use case.
The platform seamlessly chooses which queries to accelerate and which data to index. Varada elastically adjusts the cluster to meet demand and optimize cost and performance.

Adaptive & Dynamic Indexing.

Adaptive
& Dynamic Indexing.

Our indexing technology breaks data, across any column, into nano blocks. Varada automatically chooses the most effective index for each nano-block based on the data content and structure. We use a variety of indexes such as Bitmap, Dictionary, Trees, text analysis etc. and tailor each one to every nano block. This unique indexing technology is what makes all your data available and interactive.

QUERY ORCHESTRATOR

Manages queries and cluster resources according to budgets and workload priorities, and which elastically grows and shrinks the cluster resources based on the load.

Distributed Query Engine (Presto-based)

Includes a Coordinator node that optimizes and distributes queries, and Workers that execute queries using massively parallel processing.

Acceleration engine

Optimizes queries on the fly using adaptive indexing, data materialization, and intermediate result calculation based on workload insights.

Workload Monitoring & Learning Engine

Uses machine learning to detect repeating patterns and hotspots in queries and adaptively choose dynamic acceleration. This engine exposes information to data teams, provides full visibility, explores workloads, and prioritizes according to business needs.

Platform Overview

Varada’s big data infrastructure solution includes out-of-the-box native support for all community supported Presto connectors to access a wide array of data sources. The Varada query engine also expands upon the open source Presto query engine by adding enterprise grade support for high availability in the Coordinator and Workers, so both can withstand node failures. Varada’s cost-based optimizer extends the basic optimizer with knowledge of how and when to accelerate queries with a combination of adaptive indexes, cache, intermediate results. Varada workers are able to auto-scale based on dynamic workload and administrator configuration.

All Your Available Data Becomes Instantly Operational

Varada’s big data analytics platform is deployed within your VPC to ensure optimal control, security and governance. Varada supports any SQL for data analytics and connects directly to a wide range of data sources, including:

  • Public / Private Cloud Storage: AWS S3, GCP (coming soon), Azure object storage (coming soon), Kubernetes (coming soon)
  • Data Formats: ORC, Parquet, JSON, CSV, and more
  • Data Catalogs: Hive Metastore, AWS Glue
  • Additional Data Sources (visibility and access only): PostgreSQL, MySQL, and more

The Power
of Adaptive Indexing

Varada’s unique indexing efficiently indexes data directly from the data lake across selected columns so that every query is optimized automatically. Varada indexes adapt to changes in data over time, taking advantage of Presto’s vectorized columnar processing by splitting columns into small chunks, called nanoblocks™. Based on the data type, structure, and distribution of data in each nanoblock, Varda automatically creates an optimal index. To ensure fast performance for every query and each nanoblock, Varada automatically 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.

Varada’s unique indexing efficiently indexes data directly from the data lake across selected columns so that every query is optimized automatically. Varada indexes adapt to changes in data over time, taking advantage of Presto’s vectorized columnar processing by splitting columns into small chunks, called nanoblocks™. Based on the data type, structure, and distribution of data in each nanoblock, Varda automatically creates an optimal index. To ensure fast performance for every query and each nanoblock, Varada automatically 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.

This example highlights the different techniques Varada leverages to optimize and accelerate queries:

Resource Aware Intelligen Cost Based Optimizer

Varada takes Presto’s built-in Cost-Based Optimizer (CBO) to the next level, by automatically analyzing and introducing indexes for filtering, joins and aggregates, continuously reanalyzing query performance on the fly.
Varada uses machine learning to decide when and what to optimize. With the benefit of lightweight indexing, Varada is able to use intelligent and elastic resource allocation, and leveraging intermediate results. The resulting cost model is exposed to administrators and users who can then prioritize specific user queries.

Varada’s cluster is deployed as a private managed service, within your VPC environment. This deployment model ensures that data remains within your secured VPC. Varada integrates with standard AWS data access. Varada also includes a control center that enables easy and ongoing monitoring of Varada clusters.
Just as with the Varada cluster, the control center is deployed in your VPC and provisions and sets up instances in your VPC.

Highly Available wih Streamlined DevOps

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