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.
Operationalize 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-BasedCluster 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 ConsumersIn 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.
