Datos IO - IT Press Tour December 2016

Transcript

1. IT PRESS TOUR December 9, 2016 welcomes
2. datuak të dhëna podaci données data Daten gögn tiedot dati duomenys dáta uppgifter עטאַד dados məlumat উপাত্ত 数据 gegevens डेटा データ мəліметтер 데이터 sonraí маълумот ma'lumotlar தகவல்கள் Idatha tahirin-kevitra datumoj done
3. 1) Introductions 2) Datos IO Vision: Why, How, What 3) Datos IO CODR Architecture 4) RecoverX Product Overview, Demo & Roadmap 5) Customer Case Studies 6) 2017 Sneak Peek Agenda
4. Product GTM AWS Partnership Aug‘16 Mar‘15 RecoverX Alpha First POC RecoverX Directed Availability (Andromeda) Mar‘16 15+ POCs RecoverX General Availability (Boötes Release) ü Cloud Databases ü On-premise / Private Cloud ü Hybrid / Public Cloud June‘16 Hardening RecoverX 1.5 (Orion Release) ü Any PIT ü Node Recovery ü Data Masking ü Compaction Sept‘16 Deployments, New Features Our Journey In 2016 1.5 10 customers, 40+ Pipeline with 1 SDR! Google Partnership
5. Top Industry Recognition, Top 10 Coolest Storage Startups
6. We Are Creating A New Market Category: Cloud Data Backup This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from ABC Company. Gartner does not endorse any vendor, product or service depicted in research publications, and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. 1. Backup and Recovery is a 20+ year-old industry. YET, 2. Gartner acknowledges the growing importance of reinventing backup for distributed applications & cloud era 3. Defined NEW Backup Category: “Cloud Data Backup”
7. Pioneering Data Management For Cloud
8. About Datos IO 10 16 20 Datos IO provides the cloud-scale application-centric data management software that delivers data protection, mobility, and monetization services across private and public cloud environments. Backup Anywhere. Recover Anywhere. Migrate Anywhere. Datos IO Patents: For CODR, Industry-First Data Protection Architecture Built for The Cloud Era People: Employees with backgrounds from Data Domain, IBM Almaden, SolidFire, Nimble, Apple, and others Paying Customers: with the likes of Fortune 100, Fortune 200, and Fortune 500: all in ~6 months post GA of v1.0. Founded June 2014 1st Public Launch September 2015 1st Product Launch June 2016
9. Applications Moving To The Cloud Application Tier: Fast-Paced Changes Occurring in Enterprise Environments » Next-Gen Cloud Applications Being “Born” In the Cloud » Traditional Applications “Moving” To The Cloud Data Tier: § Data Store Proliferation is now 3x and growing. § Data Management is silo’d, proprietary, !Cloud. IT Consumption Models: § Moving from fixed-cost Private infrastructure à consumption-based Public Clouds § Driven by cloud economics, scale of operations, and agility (application owners) Oracle, MySQL, DB2, … MongoDB, Cassandra, HBase, … Analytical Transactional Relational Teradata, Netezza, … Hadoop (Hive) Non- Relational AWS, Oracle Cloud, Azure, Google Cloud AWS Redshift, GCP Big Query Cloud-native
10. Traditional Applications Backup (Media) Servers Tape / Disk Data Management: Backup & Recovery 1990’s -2000’s How Has The Data Been Managed Until Now? Primary Storage No App Awareness in Managing Data + Not Built For Scale Media Servers are Choke Points + Proprietary Formats + Point Solutions Backed up data is not Monetizable
11. Traditional & Next-Gen Applications in the Public Cloud, Hybrid Cloud and Multi-Cloud Era The New Data Management Paradigm Is Needed Public Cloud Service Providers Private Cloud Applications are deployed in the Cloud that fits best Data recovery crosses cloud boundaries (prod/test+dev) Data should be managed by records/files, not LUNs & VMs Media servers are choke points in moving data at scale Monetization of data unlocks value for the enterprise 1 2 3 4 5 The Shift Create Opportunities To Reinvent and Innovate SQL Next-Gen Cloud Apps Traditional Apps
12. Platform Product Roadmap © 2015 DATOS IO | CONFIDENTIAL: DO NOT DISTRIBUTE Serve The Data Data Monetization Move The Data Data Mobility Capture The Data Distributed Data Protection Expand into relational databases for application mobility Native Data Interfaces: Analytics, Search Target greenfield market of cloud & non-relational databases Vision: Protect and Manage Data at Scale
13. Traditional Applications / Relational Databases (1990s to 2000s) Cloud Applications / Non-Relational Databases (2010 and beyond) Our 1st Step: Scalable Data Protection for Non-Relational Databases
14. 3rd Platform Data Protection Cloud Native Data Services Backup & Recovery [SaaS, DBs] TAM (2020) Datos IO Cloud Data Management Opportunity $2.7B $2.3B $2.2B $2.3 2020 $2.7 2020 $2.2 2020 CAGR: 24% CAGR: 29% CAGR: 21% Next-Gen Cloud Applications Data Protection / Management Cloud Native Data Protection Services [IaaS / PaaS] Backup & Recovery [Apps, Databases] 1 2 3 1. IDC #259532, Worldwide Big Data Technologies and Services Forecast; Data Protection assumed at 30% of Big Data Information Management S/W + Data Management assumed at 10% of Big Data Information S/W 2. Gartner Report: Forecast: Public Cloud Services, Worldwide 2013-2019, 4Q15 update 3. IDC #258493, Worldwide Data Protection and Recovery Software Forecast 2015-2019 Cloud Data Management expected $7.2B by 2020, ~26% CAGR
15. *CommVault Earnings, February 2016: http://seekingalpha.com/article/3839396-commvault-systems-cvlt-ceo- bob-hammer-q3-2016-results-earnings-call-transcript?page=2 **NetApp Data Fabric as a Platform Architecture, September 2016: https://community.netapp.com/t5/Technology/Evolving-the-Data-Fabric- as-a-Platform-Architecture/ba-p/123635 But as you probably know, that is a very small percentage of the data anymore, and a very small percentage of the data growth. We tend to, as Bob alluded to, get people interested in not only dealing with new infrastructures, and not only dealing with all the different infrastructures that you have out there holistically, but the new apps. And the new apps that are developed generally will not run in older traditional kind of environments, yet they still need management, and they still need protection No matter how IT evolves over time, or what new innovations arise, our customers’ data management needs and concerns remain consistent. They need to know where their data is and whether it complies with policies and regulations, particularly around data security and privacy. They want to be able to move data easily in a heterogeneous and hybrid cloud world and know that it’s protected no matter what architecture is used. Traditional backup software works for on- premises workloads, but protecting the data for workloads running in the cloud is a new game. Backup windows may be non-existent, data may be scattered across geographies and platforms, and there may simply be too much to effectively traverse with traditional methods. Shared Industry Views On Data Protection Evolution …
16. Reinvention Starts By Ground Breaking Architecture: CODR Fully Featured Backup and Recovery Industry-First Product Features Up to 5x RPO and RTO SLAs with direct- backup architecture and no media servers 1/10th the cost with Scalable Elastic Compute Software only. Open Metadata Formats For Advanced Data Services (Analytics) Industry-First Global Semantic Deduplication Purpose-Built for Traditional & Cloud-Scale Applications Agile Application Developer Productivity with Test/Dev
17. datos.io datos.io Datos IO CODR Architecture
18. Datos IO: Data Management for the Cloud 2. Parallel data movement engine with no media server choke point 1. Cloud-scale elastic compute engine with no fixed storage or compute costs 3. Industry-first Semantic Global Deduplication for Traditional Applications and Cloud Applications Datos IO is built upon ground-breaking CODR architecture
19. Have others tried? Yes. None have cracked the Code. Problem: There is no effective way to capture, move and serve data at scale across clouds while protecting and monetizing the data at the same time. Traditional B & R Vendors • Primarily for long term retention use case only • Not built for cloud scale or application mobility • Legacy (tape/disk) data interfaces – no monetization opportunity Cloud Gateway and Migration Services • Unidirectional: Only moves data one-way to the cloud • No Time Machine: Data is opaque and not protected VM Backup to Cloud Services • VM is the wrong abstraction for protection in the cloud • Opaque data cannot be monetized • High fixed Capex • Traditional de-dupe not applicable for next-gen applications
20. Datos IO CODR: Under The Hood
21. © 2015 DATOS IO | CONFIDENTIAL: DO NOT DISTRIBUTE 21 Datos IO RecoverX Application Listeners § Requirements: » Minimal impact on data sources CPU, mem, N/W utilization » Easy to manage in terms of installation + upgrade » Maintain as minimal state as possible § Functionality of Application Listeners » Completely managed by RecoverX CODR Engine (REST APIs) » Automatically inserted/upgraded » Streams + checksums data in parallel to and from secondary storage » Continuously monitored for various failure resiliency scenarios » Interface with standard APIs (binlogs, RMAN, nodetool, oplogs) Node 1 Node 2 Node 3 Node 4 Node 5 Node 6 Control, Manage, Orchestrate RecoverX 3-Node Cluster
22. © 2015 DATOS IO | CONFIDENTIAL: DO NOT DISTRIBUTE 22 RecoverX: Distributed Datos IO Software § Cluster Components: » Distributed Cluster Manager » Scale-out Metadata Database » Distributed Task Scheduler § Internal Components: » System Management / CLI + API » Versioning / Global Deduplication » Distributed Policy Engine » Orchestration / Automation » Enterprise Readiness/Health Checker » Software-defined Storage Layer Datos IO Node 1 Datos IO Node 2 Datos IO Node n Scale out metadata database Scheduler Cluster Manager Metastore Call Home + Alerts Storage Federation Layer Policy Engine + CODR Health Checker App Listener Coordinator CLI + API Server
23. datos.io datos.io Datos IO RecoverX Overview: What Have We Built?
24. Scale-out Software Scalable Versioning Reliable Recovery Semantic Deduplication Failure resiliency / performance Cluster-Consistent Backups Recover in minutes, not hours Industry First! Up to 70% reduction on secondary storage costs Industry-First Product Features Customer Benefits Datos IO RecoverX: Cloud-Scale Data Protection
25. Datos IO RecoverX: Use Cases (On-Premises + Cloud)
26. Control Plane Parallel Data Streaming Data Source Node 1 Node 2 Node 3 Node 4 Node 5 Application Listeners Datos IO CODR IaaS / PaaS NFS, S3, GCS Secondary Storage RESTful APIs, CLIs, & Consumer-grade UI Admins / DevOps Flexible Deployment Options: On-premises: VMWare or Physical Server In The Cloud: EC2 Instances Reference Deployment: On-Premise & IaaS/PaaS
27. © 2015 DATOS IO | CONFIDENTIAL: DO NOT DISTRIBUTE 27 RecoverX Product Pricing Model RecoverX Pricing • Annual software subscription license (support included) • Capacity-tier based on physical database size ($/Terabyte) Benefits DATOS IO CUSTOMERS • Lowers barriers to entry • Land, expand strategy • Aligned with customer value • Future proof • No up-front Capex (Opex only) • Simple to understand • Flexible usage and deployment • In-line with existing products
28. © 2015 DATOS IO | CONFIDENTIAL: DO NOT DISTRIBUTE 28 Partner Ecosystem: Today and 2017 Datos IO Partner Ecosystem Database • Executive Level Sync • Sales engagement • Conferences Public Cloud • AWS partner • Co-marketing campaigns • Conferences / Content System Integrators • Joint Customers • Co-selling Opportunity Virtualization • Strategic engagement • Joint go-to-market Hyper- Converged • Executive Level Engagements Storage • Early engagement • Technical validation
29. © 2015 DATOS IO | CONFIDENTIAL: DO NOT DISTRIBUTE 29 Roadmap To Realize The Vision CODR Platform Data Sources (TAM) Data Services (Stickiness) 2016 Elastic Architecture Semantic Dedupe Native Formats Next-Gen Cloud Native Apps ü Operational Recovery ü Test/Dev ü Upgrades Efficient Direct Recovery To The Cloud Analytics Interface on Native Formats 2017 ü Queryable restore ü Masking ü Database cloning to cloud ü Analytics on versions WAN Optimization 2018 Cloud Orchestration Instant Spin-up of Application Clusters ü Search services on versions ü Application cloning to cloud Search Interface on Native Formats 2019 Cross-datastore Migration Service Cross-cloud Data Services Advanced Data Management Services (e.g., Governance) ü Multi-datastore search and analytics ü Data model migration ü Governance, Compliance Application Traditional Applications Polyglot Applications On-premise + Public Cloud Hybrid Cloud + Data Mobility Storage Abstraction Datos as a Service CONFIDENTIAL
30. datos.io datos.io Demo Time!
31. datos.io datos.io Summary
32. 1. Vision: Cloud-Scale Data Management Software Platform Product: RecoverX GA Ready (June’16). Recognition From Gartner. 2. In first 6 months since GA, Datos IO has ~10 paying enterprise customers (Fortune 100, Fortune 200) and partners with public cloud providers (AWS, GCP) 3. Key Use Cases: A) Cloud Backups, B) Test/Dev, C) Operational Recovery 4. Strong pipeline of 40+ enterprise customers à repeatable GTM/Sales model 5. Roadmap: RecoverX 2.0 (FY2017) grows TAM with Big Data File Systems, Scale/Performance, Relational Databases, Azure Cloud, and more! Key Takeaways
33. datos.io datos.io THANK YOU !