Neo4j 3.2 Launch
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We are proud to announce the release of Neo4j 3.2. This version marks an expansion in global scale, performance and refinement. It signals that the next generation of graph-powered internet applications, generating personalized content or finding coordinated malfeasance, will span the globe. This webinar detailing the themes behind Neo4j version 3.2, including: enterprise scale for global internet applications, while refining its enterprise governance capabilities and investing in performance improvements up and down the native graph stack.
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Neo4j 3.2 Launch
- 1. Neo4j 3.2 Scale, Performance and Governance for Global Internet Applications Philip Rathle VP of Products Jeff Morris Head of Product Marketing May 2017 1
- 2. Neo4j: The Graph Database Leader 2 2000 2003 2007 2011 2013 2014 20152012 2016 2017 First and only declarative query language for property graph Invented property graph model Extended graph data model to labeled property graph First modern open-source commercial graph DB 1st 1st 1st Introduced 3rd-gen clustering architecture with causal consistency Multi- data center support with network topology awareness 1st First cost-based graph query optimizer 1st Published O’Reilly book on graph DB First native graph DB in 24/7 production First visual development environment for graphs Launched openCypher as “SQL for graphs” standard First database with native graph storage and processing Introduced graph DB as a NoSQL category 1st 1st 1st Scale, performance, governance for global internet apps Security Foundation for data security and compliance V3.2V3.1 1st First built-in graph ETL in Cypher
- 3. Neo4j 3.1 in Review Security Foundation 3 Causal Clustering State-of-the-Art Distributed Architecture for Graphs
- 4. RAFT-based architecture • Continuous availability • Consensus commits Seamless load balancing Drivers Bolt Cluster Causal consistency • Tunable ACID-based consistency • Supports “read your own writes” • Best model for graph transactions 1000+ heterogeneous clusters Mix of app servers, large reporting servers, smaller IoT devices Neo4j 3.1 in Review: Causal Clustering: resilient, modern, fault-tolerant architecture 4
- 5. Neo4j Enterprise Edition safeguards data and meets compliance requirements Multiple users -> flexible authentication options Active Directory/LDAP or Native users Role-based authorization Assign permissions to users and groups List and terminate running queries Users can manage their own queries Admins can manage all queries Access controls for user-defined procedures Enables subgraph access control Enables Sarbanes-Oxley, HIPAA, PCI-DSS, et al Neo4j 3.1 in Review: Security Foundation 5 Neo4j Advantage – Security
- 6. Introducing Neo4j 3.2 May 2017 GA Enterprise scale for global applications Continuous improvement in native performance Enterprise governance for the connected enterprise 6
- 7. Enterprise Scale for Global Applications Causal Clusters can now span data centers • Clusters can be subdivided into groups and spread across DCs • Read-time choice of consistency at global scale: “Read Any”, “Read-your-own-Writes” Tiered Subclusters boost performance • Speeds local reads and writes • Replica servers pull from nearest replicas minimizing WAN traffic Topology-aware stack insulates developers & apps from the many complexities of clustering Improved Cloud Delivery via RPM, Azure and AWS EC2 7 dc1 group dc2 group
- 8. New in Neo4j 3.2 Multi-Data Center Support for Global Internet Apps Support global-scale apps across continental data centers—via a single switch 8 Each server in a Global Causal Cluster is aware of its role in the topology Local data-center load balancing drives performance and availability Local tiered hierarchies speed updates sa group uk group us_east group hk group
- 9. Groups can include cores or just tiered replicas Hierarchical Replica Server Updates 9 RRRR RR C CORES RRRR C READ REPLICAS RRRR RR RR RR RR RR READ REPLICAS
- 10. Fast, Local Reads and Writes with Global Causal Consistency Across the Cluster Reads occur at the highest speed from a local replica server, which gets refreshed by local cores 10 CORES RR RR RR RR READ REPLICAS RR Analysis RR READ REPLICAS C CORES RR RR RR RR Analysis RR C C C C READ WRITE Writes are written to a local core server, which propagates the new data to other local cores, and then to remote core servers
- 11. Global Read-Your-Own-Writes: Choices at Read time: Immediacy Or Full Consistency Readers can choose between immediate access to Replica data or waiting for any pending writes to propagate to the Replica 11 CORES RR RR RR RR READ REPLICAS RR Analysis RR READ REPLICAS C CORES RR RR RR RR Analysis RR CREAD WRITE Neo4j drivers maintain knowledge of server locations and transaction IDs so developers and users don’t need to C C C
- 12. Enterprise Governance Neo4j is IT friendly Node Keys: new type of schema constraint • Tied to labels, nodes can have any number of Node Keys • Ensure graph integrity by enforcing existence and uniqueness • Improves data exchange across multiple data sources Kerberos encrypted-authentication module add-on • Supports three-tier integration of client, directory and database Causal Clustering available on CAPI-Flash hardware from IBM Power8 via add-on Better metrics in Query Monitor to reveal query behavior and resource consumption 12
- 13. Native Graph Performance Improvements • Native Label index improves write speed by 30- 300% • Composite indexes supercharge lookup speeds • Cypher’s depth query in DISTINCT function eliminates repetitious traversals through deep levels creating exponential time savings • New Compiled Cypher runtime in Enterprise Edition to speed common queries by 300% • Cost-based-optimizer replaces rules based optimizer (which has been deprecated) • Snappier Neo4j Browser with new more flexible JavaScript framework 13
- 14. One More Thing! New Cypher Editor in Neo4j Browser Syntax Highlighting Auto Complete for Labels, Relationship Types, Properties, and Variables Command Auto Complete
- 15. Summary New in Neo4j 3.2 Community Edition Indexing • Composite indexes supercharge lookup speeds • Native label index improves write speeds by 30-300% Cypher query language • Depth query function DISTINCT improves “reachability” by no longer treading nodes it already knows • Cost-based query optimizer now automatically invoked Neo4j Browser re-written • Improved performance & flexibility via new JavaScript framework Driver Pack 1.3 • Transaction handling in Bolt driver library moved to driver • Cluster management and routing decisions moved to driver Deployment tools • RPM Packages available • Cloud delivery via Azure and AWS EC2 15
- 16. Summary New in Neo4j 3.2 Enterprise Edition Multi-data center support • Improves horizontal scaling and fault tolerance for global applications • Adds hierarchical subclusters to speed replication processes while minimizing WAN traversals Causal clustering API • Drivers in BOLT control transactionality & preferred server for reads & writes across the cluster and data centers Compiled Cypher runtime • Common and repetitive queries can be compiled to dramatically improve performance Node Keys • Impose schema constraints into graph models for existence or data validation Query monitoring • API adds many new query metrics Kerberos encryption • Add-on module offers Enterprise-caliber authentication Clustering on CAPI Flash • Add-on support on IBM POWER8 Systems Built to deploy large-scale, mission-critical graph apps over the Internet 16
- 17. Summary Neo4j 3.2 Highlights Enterprise scale for global applications Continuous improvement in native performance Enterprise governance for the connected enterprise 17
- 19. Native Performance Native Label index speed writes Composite indexes speed query performance Compiled Cypher Runtime for common queries (EE) Query depth optimization for DISTINCT New JavaScript framework for better flexibility Cost-based optimizer default CypherEngine Cypher HTTP Endpoint Bolt EndpointCustom Rest APOC Extensions Parser Compiled Runtime (EE) Interpreted Runtime Native Graph Engine In-Memory Page Cache Native Graph Storage Indexing ACID Cost-based Optimizer Fast Write Buffering CAPI Adapter Configuration Data Stores Logging Security HighAvailability Monitoring Command LineInterface Neo4j Browser Sync Custom Functions App or Community Driver Language Drivers 19
- 20. Neo4j 3.2 Scale, Performance and Governance for Global Internet Applications Philip Rathle VP of Products Jeff Morris Head of Product Marketing May 2017 20
Editor's Notes
- Over a decade of leadership in the Graph Space. The seed was planted back in 2000 when our founders invented the property graph model but it wasn’t until 2010 that we contributed the first GA version of Neo4j 1.0 to the open source community and started building a commercial engine around it. We have had a series of first – we introduced Cypher, the first and only declarative language for property graph, launched graph connect and the O’Reilly book to build out the category. The marked rewarded us with commercial success and by the end of 2015 we had 150 paying customers and 50k monthly downloads. The V3.1 and 3.2 releases make Neo4j ready to develop and deploy mission-critical, internet-based, enterprise graph applications.
- “Masterless” No branched data – robust, durable transactions Industry-Leading Quorum-based writes Six levels of tunable read consistency
- Neo4j Enterprise Edition has advanced security features for safeguarding data and meeting compliance requirements. It can authenticate defined Neo4j users as well as authenticate through Active Directory or OpenLDAP. There is a plug-in extension endpoint for integrating with custom authentication and authorization services. Neo4j’s role-based access control framework lets you define user privileges and permissions for accessing data at a granular level. Users can also list and terminate their running queries, and admins have global control over running queries. For deeper analysis, Neo4j includes advanced query logging. A new mechanism controls access to User-Defined Procedures. Neo4j also includes a new Security Event log for analyzing and auditing security issues.
- Establishes Neo4j as the enterprise standard graph technology