Gartner just issued its coveted “Hype Cycle for Storage Technologies, 2017” and “Hype Cycle for Cloud Security, 2017”. Datos IO is proud and honored to be named for the second straight year in these two Gartner reports. Hype Cycles are great to read to both understand what technologies are showing signs of aging and what technologies are showing the signs of fast movement.
What is Cloud Data Backup? Why Another Backup Category In The Age Of Cloud?
Backup and recovery as an industry and market category has been very well defined for the last 30+ years – so, it’s very natural question to ponder, why did Gartner define a new category of “Cloud Data Backup”? And, before we review the answer, it’s important to understand or take stock of how the industry got here.
The backup and recovery market is composed of backup and recovery software products (the “control plane”) and backup appliances (the “data plane”). Veritas, founded in 1983, has been the seminal backup and recovery software vendor, and tape has been the defacto choice for backup media. So, during 1980s and 1990s, Veritas was the gold standard for backup and recovery software when it came to protecting relational databases and classical shared filesystems (the “data sources”). Fast forward to 2000, and with the rise of server virtualization (with VMWare) the industry grappled with proliferation and protection of virtualized data sources (virtualized databases, virtualized file systems, and virtualized infrastructure in general) – and history repeated itself, but with a new vendor. Veeam entered the backup and recovery market from a complete greenfield of targeting virtualized data source environments and today is the gold standard for all backup and recovery of virtualized data sources, having created a new category of protecting virtualized environments.
And now, history is reperating itself once again. Cloud is the new normal and the principles of cloud infrastructure are fundamentally different from on-premises infrastructure, with elastic compute services, elastic cloud storage services, geo-distributed environments and everything redundant model. This necessitates reinvention once again, and hence Gartner, the world’s leading research and market advisory company, recognizes the new category of “Cloud Data Backup”. Cloud Data Backup is defined as the set of next-generation backup and recovery products that are needed to protect data generated in the cloud, mobilize data from on-premises to the cloud and vice versa, and enable backup and data movement across multiple clouds.
We here at Datos IO are pioneering the Cloud Data Backup category! And, thus rightly so have been labelled “The Tesla of the Backup”.
Why This is Important?
While we are proud of the recognition, what’s more important is recognition of the significant impact the cloud is having on backup and recovery. In both reports Gartner identifies Cloud Data Backup as a technology on the rise in terms of its business impact, adoption rate, and maturity level. More importantly, Gartner highlights Cloud Data Backup as one of the two categories showing the most increased adoption and fast movement on the Hype Cycle.
Simply put, the cloud is changing everything and the rate of adoption of next generation cloud-first applications as well as the migration of traditional applications to the cloud is faster than anyone anticipated. A cloud first approach means that next generation applications are being deployed on geo-distributed scale-out data stores, while traditional applications are undergoing “lift and shift” to the cloud. As the cloud has abstracted out the infrastructure layer, the new generation of purchasers are database admins or devops specialists rather than storage and backup admins.
Current backup and recovery solutions have severe limitations in cloud deployments. The traditional media server model of current backup vendors doesn’t leverage and isn’t optimized for the storage capabilities of the cloud storage provider. Moreover, the backup images behind a media server are in a proprietary format that cannot be easily used for recovery across clouds.
In this fast-changing world, we need next-generation backup and recovery solutions that provide cloud-scale, multi-cloud integration with clear separation of control, data movement and multi-tier cloud data storage. The separation not only provides independent scaling at the control & data level, but also creates the opportunity for vendor or cloud provider independence. Additionally, the separation of data plane services allows the solution to leverage all current & future innovations around data movement, data copy and storage optimizations that the cloud storage provides deliver natively.
We’re certainly seeing this with our customers, 50% of whom are Fortune 500, and include eBay, OpenTable, Maxwell Health, Barracuda Networks, CarFax, Expedia, and many others. They are all in on cloud and recognize the need for a new class of cloud data backup solutions to accelerate their cloud journey.
Enter Datos IO RecoverX For All Cloud Backup Use Cases
According to Gartner, ‘Before migrating critical on-premises applications to SaaS or IaaS, organizations should have a thorough understanding of cloud-native backup and recovery capabilities…such as in terms of application consistency, security requirements and recovery point objective.’
That is good advice, but our viewpoint is more blunt: Traditional backup and recovery technologies with purpose-built backup appliances (filesystems) or media-server based legacy backup and recovery software products don’t work for the cloud. So, if you are one of the >70% of organizations with a cloud first strategy you need to take a proactive approach to cloud data backup to ensure all of your requirements are met. Specifically, you should be looking for the following from any cloud data backup solution:
- Control plane backup and recovery architecture: with no reliance on media servers: the traditional media server architectures for backup has no place in the cloud. And, cloud storage is the new data plane. Instead, your data protection strategy in the cloud should focus on control-plane software that orchestrates data movement without interfering with the transfer of data.
- Application integration: with next generation applications, traditional databases in the cloud such as SQL Server in the cloud, and non-relational and cloud databases MongoDB, Cassandra, Amazon DynamoDB, Google BigTable, Couchbase and others enabling you to achieve application consistent backup and recovery features.
- Infrastructure Independence: any backup and recovery operations should all be done in native data format and should not rely upon any specific underlying architecture, enabling you to put data on whatever cloud your application dictates.
- Semantic Deduplication: traditional deduplication operates at the block level and therefore does not provide value for next generation applications. Instead, look for semantic deduplication that integrates with applications and provides 10x more backup storage efficiency vs. any kind of traditional deduplication.
THANK YOU To Our Customers and Partners
To all our customers, our partners, our investors, our advisors and most importantly to #datonians – thank you! You all have put your trust in us and are a big reason why we are here today. At Datos IO, we take this trust seriously and are squarely focused on dominating and winning the cloud data backup market opportunity. As organizations continue to move rapidly to cloud-native and multi-cloud infrastructures, they need to ensure that cloud data backup is an integral part of their cloud journey.
The backup and recovery software market opportunity is forecasted to be $10B in 2020, with the cloud data backup segment growing at the fastest pace with >20% CAGR. A massive and fast growing market coupled with competition starting to wake up to this new market, makes this one hell of a ride. Here we go again; long live the backup and recovery market!