by Intel Capital, StageOne, North First Ventures, Glenrock Israel • AWS Advanced Technology Partner, Microsoft Azure IP Co-sell partner and IBM Business Partner • Patented technology • Multi-disciplinary team with both mainframe expertise and cloud skills MODEL9 - YOUR MAINFRAME MODERNIZATION PARTNER 2
world’s top 100 banks 23 of the 25 top airlines 10 of the world’s top 10 insurers 90% of all credit card transactions 71 percent of Fortune 500 companies Hold 80 percent of the world’s business data Host more daily transactions than Google
HW and management SW elements • Slow and disconnected from modern compute environments - proprietary communication protocols, limited computation resources • Complex - Requires special skills and complex ETL software • Siloed - data in proprietary formats and inaccessible to cloud applications such as AI/ML and analytics 4 CHALLENGES PERTAINING TO LEGACY DATA MANAGEMENT
center mainframe storage capacity for backup and archive will be deployed on the cloud to reduce costs and improve agility, which is an increase from less than 5% in 2020.” Analyst Jeff Vogel, “Cloud Storage Management Is Transforming Mainframe Data” - September 2020 By 2025, 40% of I&O leaders will implement at least one of the hybrid cloud storage architectures, up from 15% in 2021. Analysts Julia Palmer, Raj Bala - Market Guide for Hybrid Cloud Storage, May 2021 5
Lift & shift Re-engineer or refactor Manual redevelopment Implementation cost < $1M ± $5M $15-25M $35-50M Implementation period 3-6 Months 3-5 Years 3-7 Years 3-5 Years Application type: Medium to complex | Lines of code: 5-7 Million | Data capacity: 2PB | * Source: TCS
be the foundation of enterprise business ▪ The cloud enables scale and flexibility which impact the competitive edge ▪ Implementing a hybrid approach is the best of both worlds: keeping the mainframe as the core transactional system, and leveraging the cloud for cost effective, scalable data management where mainframe data can be consumed by cloud applications A data-led modernization approach without touching mainframe applications
a set of functions common to all our products, which each product “inherits” from it. In addition, each product has its own set of functions, specific to that product
MANAGEMENT • Backup, archiving, space management, and disaster recovery directly from the mainframe to the cloud • Replace costly proprietary VTLs and management software with a single affordable cloud based data management software 17
tape storage Software consolidation Eliminate the need for multiple licenses (backup management, tape management, tape security, reporting software…) MSU-based software license charges Reduce peak MSU and total monthly MSU consumption by offloading over 60% of data management processing to zIIPs DRAMATIC COST SAVINGS ROI analysis for a large financial institute 20
belief, mainframes ARE susceptible to cyber attacks, such as ransomware ▪ In addition, a low security posture exposes the enterprise not only to cyber attacks, but also to a potential non-compliance status which might result in heavy fines The Solution: ▪ Immutable and air-gapped copies in the cloud ▪ End-to-end compression and encryption ▪ Surgical recovery ▪ Periodical recoverability tests ▪ Cyber forensics ▪ Maintain compliance with data retention regulations
inaccessible to large-scale AI/ML and analytics ▪ This impedes data-driven decision making and slows cloud adoption The Solution: ▪ Deliver mainframe data of any format to any cloud, and transform it to any open format, so cloud-based applications are able to consume it - in particular AI/ML and analytics ▪ First transfer, then transform in the cloud: that’s much faster and significantly less expensive than on the mainframe.
Tripled year-over-year revenue • 10x amount of capacity managed by Model9 • Grew number of 7-figure deals • Acquired Fortune 50 customers / one of the top 10 US banks • Doubled the team, and recruited sales and strategy leaders in the US (Mike Canavan, VP Sales at Cohesity / Hitachi; Eddy Ciliendo, Director of WW Sales, IBM Z) • Created a new offering structure - the Cloud Data Management for Mainframe suite of products • Launched a new Growth Advisory Board • Nominated Gartner Cool Vendor / hype cycle for Hybrid Cloud
Transportation company ◦ Switched from Tape Architecture to Management of Backup, Archive, Recovery, and Analytics on the AWS Cloud ◦ Leveraged their valuable mainframe data, easily transforming their DB2 data for cloud-based, business-intelligence processing by Snowflake
bank based out of South Africa • Cloud-first strategy, chose Microsoft Azure • Want to include the Mainframe in their cloud transformation and BI initiative based on Azure PowerBI • Microsoft Azure brought this opportunity to Model9 • Model9 replaced IBM software and Oracle storage hardware 750 TB
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