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Big Data LDN 2018: DATABASE FOR THE INSTANT EXPERIENCE

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Veröffentlicht am

Date: 14th November 2018
Location: Customer Experience Theatre
Time: 12:30 - 13:00
Speaker: David Maitland
Organisation: Redis Labs
About: This session will cover the technology underpinning at the software infrastructure level required to deliver the instant experience to the end user and enterprises alike. Use cases and value derived by major brands will be shared in this insightful session based the world's most loved database REDIS.

Veröffentlicht in: Daten & Analysen
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Big Data LDN 2018: DATABASE FOR THE INSTANT EXPERIENCE

  1. 1. Redis: Database for the Instant Experience NOVEMBER 2018 | DAVID MAITLAND, VICE PRESIDENT, EMEA
  2. 2. Today, life moves at the speed of instant 2
  3. 3. Today, expectations are in real-time 3
  4. 4. This is no longer acceptable
  5. 5. ..and can be a REVENUE killer 5
  6. 6. Our ‘Instant’ Life Entertainment News & Social E-commerce Transportation & Delivery 6
  7. 7. Traditional Databases haven’t kept up 7
  8. 8. 8 . We Provide an Instant Experience Database 8 Enabling applications to respond instantaneously (<100 msec), by serving data in sub-millisecond response time, under any transactions load 5
  9. 9. An In-memory open source database, supporting a variety high performance operational, analytics or hybrid use case. 9 Our Roots Are in Open Source
  10. 10. Most Popular Database Container Number of containers (in Billions) launched at Docker Hub (as of OCT 1st, 2018) 10
  11. 11. Most Loved Databases 2017 & 2018 11 Stack Overflow survey, among >100K developers % of devs who expressed interest in continuing to develop with a database
  12. 12. #2 NoSQL & #7 Database (out of 346) 12 Db-engines.com
  13. 13. Novel-Modern Approach to Database Technology 13 Developer Friendly ExtensibleIn-Memory Designed for the new generation memory architecture (NVMe, NVDIMM) Top performance in any use case. Redis Data Structures are used like Lego building blocks for app development Redis Modules API enables adding any C/C++/Python/Go library and make it an integral part of the database Lists Hashes Bitmaps Strings Bit field Streams Hyperloglog Sorted Sets Sets Geospatial Indexes
  14. 14. An in-memory database platform built on top of open source Redis, turning it into a powerful primary database for enterprises requiring instant experience. Our Commercial Offering
  15. 15. Multiple Deployment Options Cloud Essentials Cloud Pro Downloadable Native Kubernetes Essentials PCF over Bosh or PKS Essentials Openshift over Kubernetes DATABASE-AS-A-SERVICE SOFTWARE Fully-managed, server-less and hosted Fully-managed, hosted or in customer’s VPC 15
  16. 16. Multi-Model Functionality at Any Scale 16 • Dedicated engine for each data model (vs. API only) • Models engines can be selectively loaded, according to use case • All model engines access the same data, eliminating the need for transferring data between them JSON GraphSearch ML Key-Value StreamsTime-Series ENTERPRISE
  17. 17. . Average Response Time <1 msec Sub-millisecond Response Time Under Any Transactions Load 17
  18. 18. Highest Performance at Any Use Case 18 ML Serving – x2,000 Search – x5 Graph – x400Serversusedtoachieve1Mwrites/sec CouchbaseCassandra Redise $14,832$371,040$2,226,216 25X150X ANNUAL COST COST COMPARED TO REDIS e 350 300 250 200 150 100 50 0 NoSQL – x150 Streams – x500
  19. 19. Redis Enterprise is Versatile ü Authorization ü Authentication ü Price Management ü Advertising Bids ü Messaging ü Location-based Processing ü User Session Management ü Counting ü Leaderboards ü Page Ranking ü Recommendation Engine ü Time-series Analysis ü Session Analysis ü Secondary Index ü Accelerated Reporting ü Real-time Attribution ü Search ü Order History ü Inventory Tracking TRANSACTIONAL ANALYTICS OPERATIONAL
  20. 20. FUNCTIONS ESSENTIAL TO PERSONALIZATION Personalization DEALS FOR U Real-Time Analytics Real-Time Data Ingest High-Speed Transactions Job & Queue Management Content Caching Geospatial Data Machine Learning Search 20 Dynamic Pricing Ads Placement Credit Risk Analytics E-Cart Recommendations Auto- Discovery Games Experience
  21. 21. The Redis Enterprise Advantage for Personalization 21 Intelligent, policy-rich caching and session state managementContent Caching Built-in analytics commands and modulesIn-database Analytics Intelligent handling of complex data types JSON/Geo/ Graph Native high performance coupled with PUB/SUB Modules to implement ML and serve ML models 100x faster PUB/SUB and Lists for job & queue management Fast Data Ingest Job & Queue Management Machine Learning ACID with tunable consistency and durabilityHigh-Speed Transactions Library and modules for high performance index and searchSearch
  22. 22. FUNCTIONS ESSENTIAL TO SOCIAL APPS Social/Collaboration In-Database Analytics Caching/User Sessions Fast Data Ingest Job & Queue Management Messaging/Notific ations JSON/Geo/Graph 22 Chat Follow Tracking Ratings Tracking Multi-player Games Comments
  23. 23. The Redis Enterprise Advantage for Social Apps 23 Intelligent, policy-rich caching and session state management for any dataCaching/ User Sessions Built-in analytics for leaderboards, scoring, ranking, etc.In-Database Analytics Intelligent handling of complex data types JSON/Geo/ Graph Native high performance coupled with PUB/SUB Built-in Lists and PUB/SUB data structures radically simplify messages PUB/SUB and Lists for job & queue management Fast Data Ingest Job & Queue Management Messaging/Notifi cations
  24. 24. FUNCTIONS ESSENTIAL FOR FRAUD MITIGATION Fraud Mitigation Finding Anomalies Identity Protection Risk Assessment Forensic Analysis Bot Detection Connection Analysis Real-Time Analytics Real-Time Data Ingest Job & Queue Management Content Caching Machine Learning Search JSON/Geo/Graph 24
  25. 25. The Redis Enterprise Advantage for Fraud Mitigation 25 Managing user sessions while simultaneously analyzing activity for fraud Caching User Sessions Built-in analytics for scoring, anomaly detectionIn-database Analytics Intelligent handling of complex data types JSON/Geo/ Graph Read/write/indexing operations with <1ms latency at any scale with the least resources Modules to implement ML and serve ML models 100x faster PUB/SUB and lists for notifications and alerts for fraud activity Fast Data Ingest Machine Learning Ultra fast indexing and search with RediSearchSearch
  26. 26. Metering Rate LimitingSecurityTraffic Shaping FUNCTIONS ESSENTIAL FOR METERING Real-Time Analytics Real-Time Data Ingest High-Speed Transactions Freemium Business Model Tiered PricingPay As You Go (PAYG) Active-Active CRDB 26
  27. 27. The Redis Enterprise Advantage for Metering 27 Built-in analytics for counting, scoring, ranking, event capturing In-database Analytics Multi-master support for distributed counting and measuring scenarios Active- Active CRDTs Read/write/indexing operations with <1ms latency at any scale with the least resources High speed transactions to support durability and high availability Fast Data Ingest High-Speed Transactions
  28. 28. FUNCTIONS ESSENTIAL TO ECOMMERCE Ecommerce In-Database Analytics Caching/ User Sessions Fast Data Ingest Messaging/ Notifications JSON/Geo/Graph 28 Search Machine Learning High-Speed Transactions Inventory Tracking Order Management PromotionsPayments Loyalty ProgramAuthorization
  29. 29. The Redis Enterprise Advantage for Ecommerce Apps 29 Intelligent, policy-rich caching and session state managementCaching User Sessions Built-in analytics commands and modulesIn-database Analytics Intelligent handling of complex data types JSON/Geo/ Graph Native high performance coupled with PUB/SUB Modules to implement ML and serve ML models 100x faster Built-in PUB/SUB and key-space notifications Fast Data Ingest Machine Learning ACID with tunable consistency and durabilityHigh-Speed Transactions Library and modules for high performance index and searchSearch
  30. 30. IoT Smart City Transportation Industrial Agriculture Drone Management Smart Home FUNCTIONS ESSENTIAL FOR IoT Real-Time Analytics Real-Time Data Ingest Job & Queue Management Content Caching Geospatial Data Machine Learning SearchTime Series
  31. 31. Redis Enterprise for IoT 31 Devices CloudEdge • Redis OSS • Small footprint • Multi-platform (RPi, etc.) • Redis OSS or Enterprise • Redis modules – Graph, Time Series, ML, Search, etc. • Blazing fast ingest – Real-time processing – Multi-model DB • Redis Enterprise – HA-DR – Active-Active w/ CRDT’s – Auto scaling – Redis on Flash
  32. 32. Find out More and Get Started 32 https://redislabs.com/get-started/
  33. 33. Branding 33
  34. 34. Thank you!

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