Cloud storage has become an integral part of an effective storage strategy to improve backup, DR, and centralized file storage for archival and collaboration. But users still face serious challenges deploying the cloud due to complexity of connecting on-premises file storage with cloud, potential for vendor lock-in, file security challenges, and hidden costs. Explore how Aparavi’s intelligent data management simplifies multi-cloud adoption.
When one of its customers – a smart, well-managed finance company with no tolerance for things going wrong – sought out a solution to help ensure that its business-critical data was immutable for a required period of time, Core82 looked for a solution that would help its customer absolutely, positively ensure the security of their financial information. Aparavi became a key component to Core82’s data leakage prevention process while offering additional features the organization can continue to leverage for other clients.
Aparavi is a multi-cloud active archive for cloud-ready IT Admins looking to save significantly in storage costs per year and care about retaining their data intelligently. We slow secondary storage growth by 75% with guaranteed availability regardless of how long data is retained. Our SaaS-based active archive delivers true storage independence with on-premises and multi-cloud mobility. This along with our open data format removes vendor lock-in forever. Aparavi pays for itself in reduced primary storage spend and eliminates up-front investments with a pay-as-you-go model based on usage.
Aparavi® Active Archive™ delivers intelligent multi-cloud data management to organization with large volumes of unstructured data. Our SaaS model, along with flexible, usage-based pricing, means easier and predictable costs and for a lower total-cost-of ownership. This paper explores how Aparavi Active Archive works and what typical data management scenarios look like.
Existing and legacy backup and archive solutions were built with proprietary data formats that lock users in to those software applications forever. Aparavi has approached its active archive solution with a fundamentally different approach, providing more than one way for a user to access their archived data that is separate and distinct from the archiving application, and completely open, thereby enabling any user access to their data indefinitely and without constraint. With the open access approach archived data is immediately accessible, not just for retrieval or recovery, but as a data asset with access for secondary usage, such as business analytics or insight.
Many IT Planners look at the European Union’s (EU) General Data Protection Regulation (GDPR) as a distinctly European problem. The reality is the GDPR and regulations like it, impact businesses around the world. GDPR impacts any business that does business in the EU, and many countries are adopting legislation that is very similar to this regulation. In the US for example, California recently passed the Consumer Privacy Act, which has much in common with GDPR.
Managed Service Providers (MSPs) have a unique set of evolving requirements for long term data retention and recovery that currently, are not well-served by traditional backup solutions. These requirements include the need to manage ever expanding volumes of data in a hybrid cloud environment.
Aparavi helps organizations master out of control unstructured data growth. We slow secondary storage growth by 75% with guaranteed availability regardless of how long data is retained. Our SaaS-based active archive delivers true storage independence with on-premises and multi-cloud mobility. This along with our open data format removes vendor-lock in forever. Aparavi pays for itself in reduced secondary storage spend and eliminates up-front investments with a pay-as-you go model based on usage.
Unstructured data has always been a sore spot for the data protection process. The growth in the number of files that make up unstructured data sets and the capacity that they consume now threatens to break the data protection model completely. Considering that every indicator suggests the growth in the unstructured data will not only continue but also accelerate IT needs a new strategy so it can stay ahead of the problem.