Igneous - IT Press Tour December 2018

Transcript

1. Confidential - Do not distribute UNSTRUCTURED DATA MANAGEMENT AS-A-SERVICE ANYWHERE FOR EVERYONE
2. Confidential - Do not distribute 2 Infographic Our track record for a year Agenda What is Unstructured Data Management (UDM)? Challenges and Solution Requirements Igneous Team Leadership and Investors Igneous Portfolio and Customer Use Cases Igneous Evolution Remote Management Platform>Backup and Archive>UDM Competitive Landscape and GTM Differentiated Value, Technology, UDMaaS DataProtect, DataDiscover, DataFlow
3. Confidential - Do not distribute Igneous Evolution 3
4. Confidential - Do not distribute 4 Remote Management Platform with S3 API Compatibility Act 0 - 2016 Backup and Archive Application Act 1 - 2017 Unstructured Data Management as-a-Service (UDMaaS) Act 2 - 2018
5. Confidential - Do not distribute Data-Centric Workflow Growth = Opportunity • Machine Generated, High Fidelity • Billions to Trillions of Files • 90% Unstructured (IDC) Unstructured Data Velocity 53 ZBs Bio- Informatics Simulations Sensors M2M Logs Video AI/ML Output Satellite Data-Centric Workflows Cloud Abstraction, Composable IT $14B - Replacement market - Backup, Archive, Migration, Disaster Recovery - 16% CAGR DATA PROTECTION* DATA VISIBILITY & DATA MOBILITY - Unserved, nascent market - Dataset Analysis, System of Record, Metadata Management, Search - Data Workflow Automation, Access Mgmt, Copy/Move - 24% CAGR $38B 2018 --------------------> 2023 + $6B $20B * IDC Report
6. Confidential - Do not distribute What is Unstructured Data Management (UDM)? 6
7. UDM Reality Data Reality Billions of files, 100’s of PB’s and growing Retained for years to decades Emphasis on metadata Unstructured Data Not Managed Workflows span across organizations Pressure on finadability and compliance Change from IT administered to self-serve Lack of visibility and intelligence Cumbersome to protect and transform Hard to move to right place at right time Usage Reality Many systems, many vendors , many locations Workflows span private and public clouds Legacy Infrastructure & point tools System Reality Untapped Value
8. At Scale For Everyone Anywhere UDM is Protection + Visibility + Mobility More than Backup & Archive Data Protection Data Visibility Data Mobility
9. Billions of files, EB’s of data IT and Data Owners Multi-protocol Multi-platform Multi-location Multi-cloud Only Enterprise UDM as-a-Service Solution DataProtect DataDiscover DataFlow UDMaaS
10. Confidential - Do not distribute Igneous Portfolio and Customer Use Cases 10
11. “Igneous is the cornerstone of our ability to organize, move and protect our data assets." Kris Winkler, Director of IT Allen Institute
12. DataProtect Simplified, Efficient Unstructured Data Protection at Scale Retained for years to decades PBs on multiple systems, on-site and off-site Reliance on cumbersome, legacy infrastructure Modern, Simple Unstructured Data Protection Support for all NAS platforms and public clouds Capacity, Cost and Resource Efficient
13. DataDiscover Unified, intelligent system of record - wherever data lives Contain Data Sprawl via file duplication analysis across all locations and clouds Proactively Manage System Utilization and Capacity for ongoing IT cost optimization Showback/Chargeback with accuracy by identifying storage consumption by user, application, project, BU IT Outcomes Data Owner Outcomes Find the right datasets instantly wherever they are for analysis, collaboration and processing Classify and Use the right datasets via metdata attributes and freshness dating Increase the speed of my production
14. PREVIEW MODE
15. 15 Confidential - Do not distribute 3
16. Confidential - Do not distribute
17. “Igneous serves as the intelligent system of record for all of the machine generated pathology datasets we analyze within our clinical-grade AI pipeline.” Ran Godrich – Lead AI Engineer, Paige.ai
18. 18 With DataDiscover, Igneous is the intelligent system-of-record for long term retention of source & results High performance tier 1 storage as cache for active datasets High fidelity & high volume data sources Compute (NPU/GPU) API driven data movement DataFlow API-enabling Enterprise Unstructured Data Automated & API driven All Tier-1 NAS and public clouds PB’s to EB’s of data
19. Confidential - Do not distribute Igneous Differentiation, Competitive Landscape & GTM 19
20. Confidential - Do not distribute Unstructured Data Focus Focus and Architecture Matters 100% focus on File/Object at scale: Billions of files & PB → EB of data API-based, agent-less, faster than Flash Anywhere Unified, fully managed Any NAS, Object and Cloud Serve IT, Data Stewards & Data Owners For Everyone Cloud-native, Parallel Architecture Fully Managed, As-a-Service Use ¼ IOPS vs Linux, Faster than Flash Igneous AdaptiveSCAN™ File query optimized, Agnostic Igneous InfiniteINDEX™ Data profile management, Compress, Parallel- ize & Throttle Igneous IntelliMOVE™
21. Confidential - Do not distribute ENT Enterprise UDM is a Disruptive Category 21 Unstructured Structured SMB Architecture limitations for PB+ scale • Veeam : Dated Tech, Simplistic Index • Rubrik : Lacks Scale • Cohesity : Focus • CommVault: Agent based • Veritas: Agent based
22. Confidential - Do not distribute SaaS Business, Enterprise Focus 22 Enterprise Data Customers • Expected LTV: $4M+ • Large in Size and/or large in Data Subscription Pricing • Annual subscription based on data under management • Land & Expand Channel Fulfilled • Launched in September 2018 • 100% channel Alliance Ecosystem • Extends cloud • Compliments next gen data protection • Certified integration investments + API
23. Confidential - Do not distribute 23 Remote Management Platform with S3 API Compatibility Act 0 - 2016 Backup and Archive Application Act 1 - 2017 Unstructured Data Management as-a-Service (UDMaaS) Act 2 - 2018 Act 3 - ??? The Next Act
24. Confidential - Do not distribute Questions? 24
25. Confidential - Do not distribute Appendix 25
26. Confidential - Do not distribute Management Team & Current Investors 26 Kiran Bageshpur CEO Jeff Hughes CTO Byron Rakitzis Architect Christian Smith Products Anna Mowry Finance/Ops Allison Armstrong Marketing Kevin Kotecki Sales Shaun Walsh Channels/Alliances
27. Confidential - Do not distribute Iterative Machine Learning Workflow CSV CSV Ingest Organize Protect Ingest Performance Extensible Data Path ⁻ Network Speed ⁻ Dataset Profile - De-identify / Tag - Log to Db - Compress - Delete
28. Confidential - Do not distribute Iterative Machine Learning Workflow CSV CSV Ingest Organize Protect Intelligent System of Record - Tags vs File Names - Rule-based Policies - GitHub for HPC
29. Confidential - Do not distribute Iterative Machine Learning Workflow CSV CSV Ingest Organize Protect Originals Catalogued Results Protection at Any Point ⁻ API-based Integration ⁻ Native File Formats ⁻ Onsite/Offsite Data Protection