Fully Managed or Self-Managed Vertica? The Choice is Yours for Unified Analytics

Posted October 6, 2021 by Joy King, VP Product & GTM Strategy, Vertica

Software as a service

Accurate and actionable analytics is the goal of every organization. In large enterprises with multiple business divisions, the CIO team often struggles with a wide and often uncontrolled set of analytics tools and repositories leading to multiple versions of the “truth”. When an Executive Leadership team is confronted with different recommendations from different departments based on different analytical outcomes, the ability to act decisively and correctly is very much hindered.

Business divisions need a quick and easy start and minimal administrative responsibilities for their unique analytical workloads. IT is often responsible for the “lifeblood” applications that support petabytes of data, hundreds of concurrent users, and complex queries that benefit from customized tuning. In addition, some workloads are good fits for public cloud deployments while others are deployed in private, on-premises data centers. Despite a huge number of vendors in the analytics market, virtually none of them can provide public cloud, on-premises, or hybrid deployment; in-house managed and fully managed analytics built on the same platform; and advanced analytics and in-database machine learning without additional costs.

Vertica Accelerator – a fully-managed SaaS option powered by the Vertica Unified Analytics Platform

With the announcement of Vertica Accelerator, those limitations and restrictions are gone.  Vertica Accelerator is a fully managed, automated option for business divisions, IT departments, and data scientist teams who want all the benefits of Vertica’s proven and highly performant analytics platform without administration and database management. Vertica Accelerator is Vertica as a Service, available on AWS, powered by the core, proven Vertica Unified Analytics Platform.   Vertica continues to offer that same unified analytics platform as a self-managed option across all public clouds and on-premises data centers. Nothing is different – the same schemas, the same SQL, the same advanced analytics and in-database machine learning functionality.  This means that large enterprises can meet different needs with a single unified analytics platform serving them all.

Executive leadership will be far more successful in pivoting to automated, predictive, data- driven decisions if all departments and functions operate from a unified analytics strategy. We encourage you to try Vertica today to take that first step toward unified analytics.