Why Datos IO?

Enterprises are adopting high-volume, high-ingestion and real-time applications on distributed databases. As migration to this data-centric IT infrastructure increases, enterprises must ensure that data can be managed at scale without data loss and application downtime.

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Protect

your data at any granularity
and at any point in time

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Reduce

downtime by recovering
in minutes, not hours

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Increase

DevOps and IT efficiency for
continuous delivery

1. Install and Deploy

Scale-out software-only deployment that reduces deployment time and provides high-availability

  • Multiple databases supported: Apache Cassandra (DataStax Enterprise) and MongoDB
  • Lightweight application listeners that communicate with data source via well-defined interfaces
  • Multiple options for secondary storage with both NFS and S3. Provides flexible deployment for either on-premise or public cloud.

2. Configure

Easy to configure and flexible to use

  • Add your database clusters to RecoverX environment in minutes for operational recovery needs
  • Flexibility to configure different secondary storage targets¬†depending on retention periods
  • Software-only platform enables multiple deployment scenarios including: On-premise, Iaas and PaaS environments (AWS, GCP, others)

3. Version

Backup at any interval and at any granularity

  • A point-in-time cluster consistent backup that reduces application downtime.
  • Backups are always available in native formats that results in no vendor lock-in.
  • All backup operations are resilient to failures scenarios of node and database failures.
  • Backups are highly space efficient with industry-first semantic deduplication

4. Recover

Scalable and Reliable recovery in minutes, not hours

  • Recover back to production database with same or different topology
  • Recover back to the non-production or test/dev database with a same or different typology configuration
  • Recovers data directly from secondary storage to the database resulting in reduced RTO.
  • All recovery operations are resilient to failure scenarios of node and database failures

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