There are 250 Database products, are you running the right one?
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This webinar discusses choosing the right database for organizations. It will cover industry trends driving data and database evolution, real-world use cases where speed and scale are important, and an architecture overview. Speakers from Forrester and Aerospike will discuss how new applications are challenging traditional databases and how Aerospike's in-memory database provides extremely high performance for large-scale, data-intensive workloads. The agenda includes an industry overview, tips for choosing a database, how data has evolved, examples where low latency is critical, and a question and answer session.
There are 250 Database products, are you running the right one?
- 1. © 2015 Aerospike. All rights reserved. Confidential 1 Webinar: There are 250+ database products, are you running the right one? SPEED at SCALE Featuring:
- 2. © 2015 Aerospike. All rights reserved. Confidential 2 Featured Speakers Noel Yuhanna, Principal Analyst, Forrester Peter Goldmacher, VP of Strategy, Aerospike Alvin Richards, VP of Product, Aerospike
- 3. © 2015 Aerospike. All rights reserved. Confidential 3 Agenda • Industry overview and trends • Choosing the right database • Evolution of Data • Real world use cases where speed at scale matters • Architecture Overview • Wrap up and Q&A
- 4. WEBINAR Choosing The Right Database Noel Yuhanna, Principal Analyst @nyuhanna Aerospike Webinar
- 5. Business growth and speed are driving new apps and data requirements that are changing the way we store, process, and access data.
- 6. © 2015, Forrester Research, Inc. . Data Volume has grown out of control….. What about your organization? How are you managing your data? Terabytes Petabytes Zetabytes
- 7. © 2015 Forrester Research, Inc. Reproduction Prohibited 7 Database management challenges have grown DB DB DB DB DB DBDB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DBDB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DBDB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DBDB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DBDB DB DB DB DB DB DB DB DBDB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DB DBDB DB DBDB DB DB DB DB DB DB DB DB DB DB So many physical database instances! So many heterogeneous database technologies, architectures, models, and schemas! So many database applications, workloads, deployment roles, and content types! So many database policies, rules, and SLAs! How do we architect all this? How do we implement this? How do we scale and optimize all this? What database do we need? HELP!!!!!!! DBAs
- 8. © 2015 Forrester Research, Inc. Reproduction Prohibited 8 DB Analytics DB OLTP DB IOT DB Mobile 100% CPU 50% 100% CPU 50% 100% CPU 50% 100% CPU 50% DB DB DB DB DB DB DB DB DB DB DB DB When you use the wrong DBMS.. You waste resources, increase cost and slow down new application deployment…
- 9. Data management • Growing data volume • Need for real-time information • Security concerns • Growing complexity of systems • Increased HA requirements • Underutilized servers and storage • Drive toward enhanced SLAs Distributed data management • Integration issues • Administration • Data duplication • Security concerns • Performance and scalability • Synchronizing repositories • Content, unstructured data Data management pain points intensify . . .
- 10. © 2013 Forrester Research, Inc. Reproduction Prohibited 10 Four key trends that are impacting database strategy Social network apps Real-time apps LOB apps Big data apps Mobile apps Collaboration TBs into TBs Larger EDW Unstructured data Admin challenges Performance issues Scale — unpredictable workload Budget concern remains. Doing more with less Automation is the key. Need for optimized system Subscription model Ensure security. Need for 24x7 availability Deliver high performance. Ensure on-demand scale. Minimize planned downtime. Next- generation apps Budget issues Data volume, variety, velocity Global apps Database © 2015 Forrester Research, Inc. Reproduction Prohibited.
- 11. © 2015 Forrester Research, Inc. Reproduction Prohibited 11 New business requirements are making older database approaches inadequate… › Business challenges: • Need for real-time data has grown • Delivering solutions more quickly • Delivering more scalable solution • Ensuring cost effectiveness › Technology challenges: • Increasing data volume • Ensuring 24x7 global availability • Increasing number of users
- 12. © 2014, Forrester Research, Inc. . New business applications demand more optimized databases… Age of the Customer – personalization IOT – machine analysis, proactive maintenance Real-time Analytics 360-degree view of the business, product Global transactional Apps Gaming – scores, ratings, store Fraud Detection – risk management, online trading Mobile Apps – Hotel reservations, inventory tracking And others…
- 13. © 2013 Forrester Research, Inc. Reproduction Prohibited 13 Age of the customer is driving the need for integrated customer data… › Age of the customer — a 20-year business cycle in which the most successful enterprises will reinvent themselves to systematically understand and serve increasingly powerful customers © 2015, Forrester Research, Inc. .
- 14. Churn How can you prevent members from churning?
- 15. How can you provide a perfect and individual recommendation? Individual Recommendation
- 16. © 2014 Forrester Research, Inc. Reproduction Prohibited 16 Engines Machines Factories IOT drives new types of use cases but requires a real-time data platform Cisco predicts 50 billion devices will be connected by 2020. Forrester estimates 30% usage of IIOT in manufacturing, will double by 2019. IOT © 2015 Forrester Research, Inc.
- 17. © 2013 Forrester Research, Inc. Reproduction Prohibited 17 Amazon uses data to predict everything in its delivery process.. even Xmas orders! Image source: Digits (http://blogs.wsj.com/digits/2014/01/17/amazon-wants-to-ship-your-package-before-you-buy-it/) Prediction
- 18. © 2013 Forrester Research, Inc. Reproduction Prohibited 18 We are gaining a deeper view of the world by digitizing everything . . . Image source: Github (http://seeread.github.com/canopy/) DATA SCIENTISTS PARTICIPATED IN A DATA DIVE TO HELP THE NYC PARKS DEPARTMENT BETTER MANAGE STORM RISK AND OPTIMIZE PRUNING SCHEDULES OF THE CITY’S TREES Advanced Analytics
- 19. Supermarket predicts the exact date customers will return and what they will spend within $10 for 19% of their customers? Complex Prediction
- 20. © 2015 Forrester Research, Inc. Reproduction Prohibited 20 What does this mean? Your Database strategy needs to include NoSQL besides RDBMS New App Requirements NoSQL RDBMS Optimized for unstructured data Yes Partial Scale to petabytes Yes Partial Millions of users Yes Partial Complex data relationships Yes Partial Flexible schema Yes No Extreme performance Yes No Easy to deploy and use Yes Partial Lower Cost Yes No/Partial Horizontal scale-out Yes No
- 22. © 2015 Aerospike. All rights reserved. Confidential 22 Evolution of Data & Architecture Overview Peter Goldmacher, VP of Strategy Alvin Richards, VP of Product SPEED at SCALE
- 23. © 2015 Aerospike. All rights reserved. Confidential 23 Evolution of Data DATA VOLUME 1970 1985 2010 2015 IMS RDBMS NoSQL NoSQL at Scale TPS
- 24. © 2015 Aerospike. All rights reserved. Confidential 24 Our Users Have the Following Requirements Mission critical apps that require near 100% up-time AdTech Risk/Fraud Telco Mandate for response times measured in milliseconds 10 milliseconds for AdTech 750 milliseconds for Fraud Very large data sets 50TB+ Sophisticated and robust decision algorithms 2M+ transactions per second Best in class price/performance Proven 10 to 1 savings versus other NoSQL vendors
- 25. © 2015 Aerospike. All rights reserved. Confidential 25 AdTech – Real-Time Bidding Challenge • Low read latency (milliseconds) • 100K to 5M operations/second • Ensure 100% uptime • Provide global data replication Performance achieved • 1 to 6 billion cookies tracked • 5.0M auctions per second • 100ms ad rendering, 50ms real-time bidding, 1ms database access • 1.5KB median object size Selected Aerospike NoSQL over competition • 10X fewer nodes • 10X better TCO • 20X better read latency • High throughput at low latency Ads is Displayed Publishers Ad Networks & SSPs Ad Exchanges Demand Side Platform Data Management Platforms Brands Agencies Buyers 0 ms 100 ms
- 26. © 2015 Aerospike. All rights reserved. Confidential 26 Challenge • Overall SLA 750 ms • Loss of business due to latency • Every credit card transaction requires hundreds of DB reads/writes Need to Scale Reliably • 10 100 TB • 10B 100 B objects • 200k I Million+ TPS Selected Aerospike In-Memory NoSQL • Built for Flash • Predictable low latency at high throughput • Immediate consistency, no data loss • Cross data center (XDR) support • 20 server cluster • Dell 730xd w/ 4NVMe SSDs Credit Card Processing System Fraud Detection & Protection App Rules Rule 1 Rule 2 Rule 3 Historical Data Rule 1-Passed Rule 2-Passed Rule 3-Failed Account Behavior Static Data Account Statistics Fraud Prevention
- 27. © 2015 Aerospike. All rights reserved. Confidential 27 Telco – Real-Time Billing and Usage Systems Challenge • Edge access to regulate traffic • Accessible using provisioning applications (self-serve and through support personnel) Need for extremely high availability, reliably, low latency • > TBs of data • 10-100M objects • 10-200K TPS Selected Aerospike in-Memory NoSQL • Clustered system • Predictable low latency at high throughput • Highly-available and reliable on failure • Cross data center (XDR) support SOURCE DEVICE/USER DESTINATIONReal-Time Auth. QoS Billing Request Execute Request Real-Time ChecksConfig Module App Update Device User Setting Hot-Standby XDR
- 28. © 2015 Aerospike. All rights reserved. Confidential 28 Speed 0 50,000 100,000 150,000 200,000 250,000 300,000 350,000 Balanced Read-Heavy Aerospike Cassandra MongoDB Couchbase 2.0* 0 2.5 5 7.5 10 0 50,000 100,000 150,000 200,000 AverageLatency,ms Throughput, ops/sec Balanced Workload Read Latency Aerospike Cassandra MongoDB 0 4 8 12 16 0 50,000 100,000 150,000 200,000 AverageLatency,ms Throughput, ops/sec Balanced Workload Update Latency Aerospike Cassandra MongoDB • Flash / SSD Optimized • Primary Index in DRAM
- 29. © 2015 Aerospike. All rights reserved. Confidential 29 Scale • RIPE MD160 Hashing & Partitioning • Dynamically Add/Remove Nodes • Auto Rebalance • Auto Heal
- 30. © 2015 Aerospike. All rights reserved. Confidential 30 10x LOWER TCO10X Fewer
- 31. © 2015 Aerospike. All rights reserved. Confidential 31 Vertical Focus / Horizontal Opportunity FINANCIAL ECOMMERCE ADTECH HORIZONTAL GAMING TELECOM Confidential #1 Confidential #2
- 32. © 2015 Aerospike. All rights reserved. Confidential 32 Takeaways • Focused on real-time, mission critical applications • Enables companies to leverage speed at scale • Scales up and out to accelerate real-time applications in Retail, FinServ, Telecom, Adtech and Internet • Greater than 10x performance improvements at a materially lower cost per transaction
- 33. © 2015 Aerospike. All rights reserved. Confidential 33 High Performance NoSQL Database Powering New Opportunities at Scale @aerospikedb NEXT STEPS: See how much you can save with Aerospike: http://www.aerospike.com/tco-calculator/ Ready to get started? http://www.aerospike.com/quick-start/ If you have any questions or want to further explore if Aerospike is right for you, contact us: info@aerospike.com