Data Management and Backup for Vertica

Recovery-centric data management and backup for Vertica helps you quickly recover in the event of data loss, deliver applications faster, and minimize non-compliance risk.

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Imanis Data for Vertica

Backup & Recovery

Reduce downtime costs from ransomware or human errors via Imanis Data FastFind™. Recover down to a table or catalog. Reduce operational costs via machine learning, smart storage optimization, and incremental-forever backups.

Test Data Management

Deliver applications faster by rapidly moving subsets of production data to non-production test and QA clusters. Meet compliance standards by masking confidential data.

Cloud Migration

Easily migrate big data workloads to the cloud — whether you are moving from a completely on-premise deployment to the cloud, transitioning between cloud providers, or just want to run parts of your workload in the cloud.

Native Replication Is Not a Sufficient Vertica Backup

Relying on native replication can have catastrophic consequences. Multiple replicas protect against hardware failures, but won’t prevent data loss if a user accidentally deletes data in a table or an application corrupts data in your Vertica database.

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Imanis Data vs Vertica vbr.py

  • Faster & Easier Data Recovery

    Locate and restore lost objects for easier recovery with using our FastFind technology — even without any prior knowledge of object or restore point details.

  • Flexible Data Restoration

    Recover back to the original cluster or to an alternate cluster with a different topology than the original - if you want to QA the data first or if you want to restore data for the analytics or development team working on a different Vertica instance.

  • Agnostic Data Backups

    Enable changes to IPs or node names associated with your Vertica cluster without affecting data recovery procedures or having to run a new backup workflow.

Related Resources

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Through Reltio data-driven applications business users access and expect constant availability of this data. Imanis Data's backup, recovery and test data management solution is an ideal fit for our rapidly growing DataStax Enterprise environment, and their recent security and AWS S3 enhancements are critical for our customers, particularly in highly regulatory environments.

Zoltan Gombosi

Vice President, Engineering

The rapid rise of big data applications is changing how companies protect and manage the availability of data throughout the application life cycle -- concurrently we are acutely more aware of the tremendous business value that all data holds.

Nik Rouda

Senior Analyst, Enterprise Strategy Group

If you thought the need for backup somehow evaporated with the advent of Hadoop, its probably because you don't really understand backup.

Robin Bloor

Co-Founder & Chief Analyst

Business applications built on top of modern data platforms such as MongoDB and Cassandra are just as exposed to the threat of ransomware and critical data loss as traditional applications. Yet, many IT managers are just beginning to look at data protection requirements for these applications. IT organizations need to consider data protection tools designed specifically for these environments, such as Imanis Data, because some of the underlying architectural issues are different from traditional data types.

Phil Goodwin

Research Director

Speed and efficiency of recovery is vitally important in helping us achieve our business goals. We’ve found that Imanis Data 3.0 is the only platform that can easily scale with our growing business and data needs. Its rapid backup and recovery capabilities have reduced our potential downtime to a minimum and have helped our business run more efficiently.

Rodrigo Balan

Network Operations Manager

When we moved to a Big Data architecture, we knew that application and data recovery was a fundamental requirement. Where most companies fall short, Imanis Data provides that at scale.

Kersi Tavadia

CIO

How One Customer Stopped Lengthy Data Requisition Cycles

One customer using Vertica experienced delays to three to four application releases a year just waiting for production data to be delivered to their engineering teams, costing nearly $450,000 each year. They now use Imanis Data as the basis for their test data management strategy across different big data platforms, and the data gets delivered in hours not weeks.

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