Webinar: How native multi model works in ArangoDB
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The document discusses the advantages of a native multi-model database approach, highlighting the benefits of using multiple data models for specific application needs and the challenges of single model databases. It outlines how organizations frequently utilize multiple database types, leading to increased complexity and cost. The presentation also introduces ArangoDB's capabilities, use cases, and a managed service option, emphasizing its performance and enterprise features.
Webinar: How native multi model works in ArangoDB
- 1. + + Hi & welcome to "How native multi-model works" …we will begin in a few moments
- 2. Thanks for joining us 2 Chris Woodward ‣ Developer Relations Engineer ‣ Tutorials, Courses, Demos, Community Support Jan Stücke ‣ Head of Communications ‣ Community Support, Learning Content, Marketing Stuff
- 3. ‣ Native multi-model approach ‣ Features & Use Cases ‣ Scaling with ArangoDB ‣ Managed service – ArangoDB Oasis ‣ Hands-on: Aggregations, JOINs, Graph, Geo-spatial Today we will talk about 3
- 4. Why multiple models anyway? 4 User Interface Persistence Layer Service Service Service Service Service
- 5. Why multiple models anyway? 4 User Interface Benefits of using the right data model for applications ‣ Native mapping of data to the database ‣ Precisely tailored queries ‣ Leveraging data model specific optimizations Persistence Layer
- 6. Isn't a single model enough? 5 User Interface Single model databases were designed to support only a single data model ‣ No optimal mapping of other models ‣ No optimizations for other data models ‣ Stunts & workarounds in application layer Is this a scalable approach? Single Model Database
- 7. Ok, let's use multiple data stores 6 User Interface Document Graph Key/Value Relational Polyglot Persistence is a great approach ‣ You can use the right data model for the right job ‣ Precisely tailor queries ‣ Data model specific optimizations BUT ‣ Learn & orchestrate multiple technologies ‣ Increased complexity ‣ Consistency among DBs? ‣ Multi-model queries?
- 8. 7 9 2,4% 6 8,2% 5 11,8% 4 9,4% 3 12,9% 2 25,9% 1 25,9% Source: Open Source Database Report 2019 (ScaleGrid) Let's broaden the perspective How many DBs run in production? 74% use multiple database types in their organization and have to deal with: ‣ Fragmented technology landscape ‣ Fragmented skillset ‣ Difficult to move from one project to the other ‣ High infrastructure complexity ‣ Multiplied costs Large enterprises easily have 10-20 different databases in production
- 9. ArangoSearch Native Multi-Model Approach 8 GraphsDocuments - JSON { “type“: "pants", “waist": 32, “length”: 34, “color": "blue", “material”: “cotton" } { “type“: “television", “diagonal size": 46, “hdmi inputs": 3, “wall mountable": true, “built-in tuner": true, “dynamic contrast”: “50,000:1”, “Resolution”: “1920x1080” } Key Values K => V K => V K => V K => V K => V K => V K => V K => V K => V K => V K => V K => V One Core. One Query Language. Multiple Data Models.
- 10. Huge Solution Space 9 RelationshipComplexity Data Complexity Graph Relational Document Columnar Key Value
- 11. Single instance Database document writes per vCPU/second ArangoDB 1,730 Aerospike 2,500 Cassandra 965 Couchbase 1,375 FoundationDB 750 Cluster 0 % 100 % 200 % 300 % 400 % 500 % 600 % 700 % 800 % shortest path neighbors* neighbors with data* single read single write single write sync aggregation memory usage ArangoDB RocksDB MongoDB Neo4J OrientDB PostgreSQL PostgreSQL Tabular 10 Released: 2/14/18 Less is better Source: arangodb.com/performance
- 12. $17.2m Funding 60+ Employees 7.2m+ Downloads over all sources 8000+ Stargazers 95+ External code contributors 500+ Production installations Fortune 10 and 500 customers Company at a Glance 11
- 13. Finance ‣ Product Recommendation ‣ Privacy, Risk & Compliance ‣ 360 Customer View ‣ Workflow Management ‣ Reporting/BI/BA ‣ Dependency Management ‣ Sybase & Oracle Replacement Cybersecurity ‣ Thread Intelligence ‣ Connected Feature Extraction ‣ Identity & Access Management ‣ Digital Forensics Telecommunications ‣ Network Analytics ‣ Outage Predictions ‣ Usage Scoring Manufacturing ‣ Aircraft Fleet Management ‣ Bill of Materials & Simulations ‣ Knowledge Graphs IoT ‣ Demand Prediction ‣ Streamlined ML/AI Pipeline ‣ Device Authorisation/Access Management ‣ Streamlined Data Analytics ArangoDB Use Cases so far 12
- 14. Customer Use Cases 13 ‣ Identity & Access Management for their +200k employees ‣ JSON & Graphs perfect for Identity & Access applications ‣ Leveraging SmartGraph feature to handle billions of nodes & edges ‣ Enhanced BI & BA application for all employees ‣ Leverage relational and graph access patterns ‣ Intensive use of Foxx Framework ‣ Business Analysts & Product Owners writing own AQL queries ‣ Simplified ML pipeline for kPlexus & iPlexus sytem ‣ Full native multi-model usage ‣ Replaced MongoDB, Neo4j, ElasticSearch & Redis ‣ Reduced data redundancy, maintenance & evaluation costs
- 15. Key-Value GraphsDocuments Kind of relational complexity scalability Enterprise Enterprise Enterprise Features like: ‣ Encryption 360 (Transit, Rest, Backup) ‣ Auditing ‣ LDAP ‣ Multi Data Center support ‣ Data masking ‣ Managed Cloud Service Unique Enterprise Features like: ‣ SmartGraphs ‣ SatelliteCollections ‣ SmartJoins 14 Enterprise
- 16. ‣ Fully managed ArangoDB Cloud ‣ Runs Enterprise Edition including all features ‣ Supports all major cloud providers & regions ‣ Choose any instance you like ‣ Usage based pricing ‣ Closed beta to start in ~3 weeks Join the Early Bird list: www.arangodb.com/managed-service/ ArangoDB Managed Service 15
- 17. Thanks for joining us today 16 Chris Woodward twitter: @cw00dw0rd email: [email protected] Jan Stücke twitter: @janoschfrosch email: [email protected] arangodb/arangodb
- 18. Thanks for joining! Time for Questions