Webinar: How native multi model works in ArangoDB
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These are the slides from the webinar, where Chris & Jan walked through the basic concepts, key features and query options you have within ArangoDB as well as discuss scalability considerations for different data models. Chris is the hands-on guy and will showcase a variety of query options you have with a native multi-model database like ArangoDB
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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: christopher@arangodb.com Jan Stücke twitter: @janoschfrosch email: jan.stuecke@arangodb.com arangodb/arangodb
- 18. Thanks for joining! Time for Questions