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.
