How local object-store can help you achieve cloud freedom while avoiding lock-in

Presented by

Steve Sarsfield, Sr. Product Marketing Manager – Partner Ecosystem, Vertica, and Mike Leone, Senior Analyst, ESG Global

About this talk

In this webinar with Mike Leone, Senior Analyst from ESG Global, you’ll learn how customers are increasingly turning to solutions that use object storage as a centralized data repository. Object storage can enable organizations to separate compute and storage and deliver desired levels of elasticity to ensure cost-effective support of all data-centric workloads. And most importantly, object storage can easily be deployed and leveraged, both on-premises and in the cloud, to support an organization’s desire to stay flexible, agile, and hybrid. Whether the requirements call for an ACID-compliant data warehouse or a cost-effective data lake, object store has a place in modern IT infrastructure.

Related topics:

More from this channel

Upcoming talks (1)
On-demand talks (159)
Subscribers (36645)
The Vertica Unified Analytics Platform is built to handle the most demanding analytic use cases and is trusted by thousands of leading data-driven enterprises around the world, including Etsy, Bank of America, Uber, and more. Based on a massively scalable architecture with a broad set of analytical functions spanning event and time series, pattern matching, geospatial, and built-in machine learning capability, Vertica enables data analytics teams to easily apply these powerful functions to large and demanding analytical workloads. Vertica unites the major public clouds and on-premises data centers, as needed, and integrates data in cloud object storage and HDFS without forcing any data movement. Available as a SaaS option, or as a customer-managed system, Vertica helps teams combine growing data siloes for a more complete view of available data. Vertica features separation of compute and storage, so teams can spin up storage and compute resources as needed, then spin down afterwards to reduce costs.