Distributed database defence: Datos IO delivers its distinctives

Outage stopper helps stop you having an Australian-style disaster, firm says

By Chris Mellor

Posted in Cloud, 7th June 2016 12:23 GMT

Datos IO has announced the launch of its RecoverX distributed database protection and recovery tool, designed, we're told, to specifically protect against the sort of AWS outage in Sydney El Reg reported on Monday.

Enterprises, Datos IO declares, need dedicated cloud-native data protection to recover applications quickly and completely from disasters like this rainy washout.

Datos says it "has the industry’s only next-gen recovery platform, specifically designed to protect distributed databases like Cassandra Apache, MongoDB, Hbase, AWS and beyond."

Such databases are distributed across cluster nodes and have eventual consistency from their BASE (Basically Available, Soft state, Eventual consistency) semantics. These contrast to traditional RDBMS ACID (Atomicity, Consistency, Isolation, Durability) transaction semantics. That means their backup and recovery software needs to be aware of this in order to provide effective recovery services.

Datos IO says it's the first supplier to provide this with the RecoverX product, which features:

The idea of semantic deduplication involves going beyond block-based dedupe and "comparing and reducing semantic equivalents of data spread across a database cluster, resulting in up to 70 per cent reduction in storage costs."

It is said to be designed and built specially for eventually consistent databases. We have no further details and, obviously, your mileage may very.

RecoverX supports Apache Cassandra (v2.0, v2.1), DataStax DSE (v4.5, v4.6, v4.7, v4.8) and MongoDB (v3.0, v3.2). It has a variety of secondary storage options with NAS storage for on premise data protection requirements, Amazon S3 and Google Cloud Storage support for IaaS and PaaS environments.

The software is available in Standard and Enterprise editions with annual subscription, with a free 14-day trial (usage limits on cluster size and database size apply) on Amazon Web Services (AWS) or Google Cloud Platform (GCP) based environments. Pricing is capacity-based with no dependency on node count. Check out www.datos.io for more details. ®

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