Enterprises are adopting a more data-centric approach as distributed applications like IoT, mobile, and cloud have become more prevalent. This has led to a rise in open-source and scale-out databases that have different data management needs than traditional relational databases. Specifically, these newer databases require recovery tools that can handle the scale-out nature and flexibility of deployment in private and public clouds. Datos IO has introduced a distributed versioning platform to address these new recovery needs for databases like Cassandra and MongoDB. Their platform offers features like cluster-wide consistency across versions, semantic deduplication to reduce storage usage, and "repair-free" automated recovery without manual steps.
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Enterprises Embracing Data-Centric World Need Recovery Tools
1. Enterprises are embracing
a data-centric world
For 30 years, relational databases ruled
the client-server world. Veritas and
Legato (EMC) provided much-needed
data management tools.
Now, distributed applications (IoT,
mobile, social, cloud) demand a new
data-centric world where 5 of the top 10
databases are open-source or scale out.
Enterprises must be able to recover
corrupted or inaccurate data.
Next-gen databases need
recovery tools for application
admins and DevOps.
Although adoption of these scale-out data stores has been rising, customers
need enterprise-grade recovery products that are built from the ground up for
next-generation applications. In this new data-centric world of distributed and
composite applications deployed on heterogeneous data stores, everything
about recovery is changing:
• CIOs and CSOs are driving new business requirements to
capture more value from data.
• Application and database architects have new recovery requirements
given the scale-out nature of these data stores.
• DevOps are the new consumers of recovery products.
• IT ops expect flexible deployment models in private and public clouds.
Most scale-out databases do offer capabilities such as cross-datacenter replica-
tion, but these capabilities address availability requirements only. They do not
provide point-in-time versioning and recovery, so enterprises cannot go back
and fix operational errors. In fact, if errors are introduced, the databases’ multi-
node replication can lead to almost immediate corruption across all nodes of the
enterprise’s data center.
The enterprise data center is embracing a data-centric world to support the
social, mobile, and cloud environments in which today’s consumers live. The
volume, ingestion rate, and real-time nature of distributed applications is driving
the adoption of scale-out data stores such as Cassandra, MongoDB, Google
BigTable, Amazon DynamoDB, and others.
Datos IO Product Overview
The Industry-First Distributed Versioning Platform
for Scale-Out and Cloud Databases