NetApp plus Datos IO
NetApp and Datos IO have partnered to extend the NetApp Data Fabric by providing application-centric data protection for next-generation applications
Minimize Application Downtime
- Near-zero recovery point and recovery time objectives (RPOs and RTOs)
- Single-click and orchestrated recovery
- Granular collection-level recovery
Increase Operational Efficiency
- Flexible policy-based management
- Recovery to different topology database clusters (testing and development use case)
- Automated failure handling
- On-premises or public cloud use
- Compatibility with NetApp® ONTAP® 9 software
- Performance and availability benefits of NetApp arrays
The Data Protection Challenge
Rapid proliferation in social, mobile, cloud, and Internet of Things is driving enterprises to deploy hyperscale, distributed, data-centric applications such as customer analytics, e-commerce, security, surveillance, and business intelligence. To handle the data requirements of these high-volume, high–ingestion rate, and real-time applications, enterprises are rapidly adopting massively scalable and nonrelational databases such as MongoDB.
Like any business-critical application, these databases require data protection, including application-consistent backup; near-zero RPO and RTO; granular, repair-free recovery; failure handling; and backup storage efficiency. However, given the hyperscale, distributed nature of these databases, traditional backup and recovery products don’t support these requirements, leaving a critical data protection gap.
The Solution: Application-Centric Data Protection from Datos IO RecoverX
NetApp and Datos IO have partnered to extend the NetApp Data Fabric by providing application-centric data protection for next-generation applications. Enterprises can now leverage the performance, reliability, and flexibility of ONTAP 9 with the continuous data protection capability of Datos IO RecoverX. With this solution, enterprises can scale business-critical applications on MongoDB and be confident in the recoverability of data and the ability to maintain high application uptime. RecoverX is an industry-first scale-out data protection software-only product that is purpose-built for next-generation applications on MongoDB.
Datos IO RecoverX is founded upon Consistent Orchestrated Distributed Recovery (CODR), Datos IO’s cloud-first, scale-out data management architecture that enables customers to meet data protection requirements for MongoDB. CODR uses elastic compute services that can be autoscaled with load and remove the dependency on media servers. CODR also transfers data in parallel to and from file-based and objectbased secondary storage for multiple use cases, including data protection and testing and development. To simplify the data recovery process and to avoid vendor lock-in, the protected data is stored in the database native format.
By using native application intelligence, RecoverX creates a true point-in-time consistent backup copy of MongoDB collections (both sharded and unsharded) at user-specified intervals, a concept called cluster-consistent versioning. Datos IO RecoverX can produce these cluster-consistent versions across all shards without quiescing the MongoDB database. Backups can be generated at a user-specified time interval and at any granularity (collection-level or entire database), providing operational ease of use to database administrators. And with RecoverX, backup operations are resilient to failovers (primary switch) and failures (node and so on).
Datos IO RecoverX provides fully orchestrated, any-point-in-time recovery. MongoDB collections can be recovered directly back into the same MongoDB database (operational recovery). They can also be recovered to a different MongoDB database instance (testing and development refresh) with a different topology (the number of nodes on the destination cluster differs from the node count of the source cluster).
RecoverX supports all combinations of recovery—sharded to unsharded, unsharded to sharded, sharded to sharded—thus reducing the operational burden of refreshing testing and development clusters for continuous development DevOps environments. Further, the recovery process deals only with the logical data, making it three times faster than with traditional approaches. During recovery, the data is directly transferred from secondary storage into target databases, resulting in a very low RTO.
Why NetApp plus Datos IO
NetApp big data solutions deliver an open, scalable storage system for building big data applications. Customers gain business insights—and value—more quickly. The NetApp All Flash FAS system offers predictable and high performance with consistent and low latency, resulting in a very fast response time to the most demanding applications that are deployed on MongoDB. And to deliver maximum uptime and high availability, it also offers nondisruptive operations and integrated data protection across applications, virtual infrastructures, and cloud architectures. Together with Datos IO, NetApp offers an industryleading enterprise data management solution for MongoDB that is based on ONTAP 9 and RecoverX.
Datos IO RecoverX is a software-only product that can be deployed on a physical server, a virtual machine, or any cloud compute instance (for example, Amazon EC2). It communicates with the MongoDB database through a Secure Shell (SSH) connection that forms a control plane to orchestrate data movement. The data can be backed up to a secondary FAS array or to a NetApp E-Series system. In addition to CLIs and RESTful APIs, customers can use the RecoverX consumer-grade UI to manage their data protection environment.