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ArangoDB Enterprise: SmartJoins - ArangoDB - ArangoDB

The Spring Data ArangoDB integration is a library for accessing data stored in ArangoDB from Spring-based Java applicationSpring Data provides a consistent interface foraccessing various types of data sources. Spring Data ArangoDB implements thisfor ArangoDB and provides mapping of Java objects to ArangoDB documents (ODM).Repository Demo without Spring Boot Starter Demo with Spring Boot Starter Reference (version 4)Reference (version 3)JavaDoc Changelog MigrationSupported versions Spring Data ArangoDB is compatible with:all the still supported Spring Boot 3.x versions and related Spring Framework versionsall the still supported ArangoDB versions all the still supported Spring Boot 2.x versions and related Spring Framework versionsall the still supported ArangoDB versions Get started This tutorial is about how to configure Spring Data ArangoDB without using Spring Boot Starter ArangoDB.For a more extensive tutorial about the features of Spring Data ArangoDB andSpring Boot support, see the Spring Boot Starterdocumentation.Build a project with Maven Set up a project and add every needed dependency. This demo uses Maven andSpring Boot.Create a Maven pom.xml: xmlns=" xmlns:xsi=" xsi:schemaLocation=" 4.0.0 org.springframework.boot spring-boot-starter-parent 3.3.4 com.arangodb spring-data-arangodb-tutorial 1.0.0 spring-data-arangodb-tutorial ArangoDB Spring Data Tutorial 21 UTF-8 org.springframework.boot spring-boot-starter com.arangodb arangodb-spring-data 4.4.2 Substitute the versions with the latest available versions that are compatible.See the Supported versions for details.Entity classes For this tutorial we will model our entity with a Java record class:@Document("characters")public record Character( @Id String id, String name, String surname) {}Create a repository Now that we have our data model, we want to store data. For this, we create a repository interface whichextends ArangoRepository. This gives us access to CRUD operations, paging, and query by example mechanics.public interface CharacterRepository extends ArangoRepositoryCharacter, String> {}Create a Configuration class We need a configuration class to set up everything to connect to our ArangoDB instance and to declare that allneeded Spring Beans are processed by the Spring container.@EnableArangoRepositories: Defines where Spring can find your repositoriesarango(): Method to configure the connection to the ArangoDB instancedatabase(): Method to define the database namereturnOriginalEntities(): Method to configures the behavior of repository save methods to either return theoriginal entities (updated where possible) or new ones. Set to false to use java records.@Configuration@EnableArangoRepositories(basePackages = {"com.arangodb.spring.demo"})public class

GitHub - arangodb/arangodb-spark-datasource: ArangoDB

ArangoDB vs. MongoDB MongoDB was the very first document-oriented database and it’s open source. ArangoDB adds many important features to the document model, like scalability, JOIN’s, complex transactions, lower operational costs and more. ArangoDB vs. Neo4j MongoDB was the very first document-oriented database and it’s open source. ArangoDB adds many important features to the document model, like scalability, JOIN’s, complex transactions, lower operational costs and more. ArangoDB vs. Cassandra MongoDB was the very first document-oriented database and it’s open source. ArangoDB adds many important features to the document model, like scalability, JOIN’s, complex transactions, lower operational costs and more. SQL vs AQL - A Declarative Query Language for Coders AQL provides a powerful way to handle all data models and even combine them in a single query. If you know SQL, you’ll feel at home in AQL’s clear & intuitive syntax. No more juggling various tech: one database and one query language supporting many needs. SQL vs AQL - A Declarative Query Language for Coders AQL provides a powerful way to handle all data models and even combine them in a single query. If you know SQL, you’ll feel at home in AQL’s clear & intuitive syntax. No more juggling various tech: one database and one query language supporting many needs.

GitHub - arangodb/arangodb: ArangoDB is a native multi

"ArangoDB's use of Juypyter notebooks for its Data Science Suite is the perfect choice because this is an environment we are already comfortable using. It gives us all the flexibility we need to customize our dynamic AQL generation for GraphRAG and graph analytics jobs." - Martin Kovar, Head of Product Development Schedule a Demo Today to discover the power and flexibility of the ArangoDB Data Science Suite. Read The Whitepaper on LLMs + Knowledge Graphs. Orchestrate GraphML Processes Streamline your data science workflows with Jupyter Notebooks. Our notebooks contain a template and roadmap to manage the entire GraphML workflow: managing compute resources, monitoring ML jobs, and handling containerization tasks. Focus on model development and tuning while we take care of the orchestration, ensuring a seamless and efficient GraphML process. Simplified Management Abstract away the complexities of managing your ML tasks. With Jupyter Notebooks, you can monitor and control ML jobs seamlessly, focusing on what matters most—developing and tuning your models. Built-in tools for job tracking and resource usage visualization provide a straightforward path to deploying and maintaining your models. Efficient, Automated Deployment Handle containerization tasks with ease, ensuring that your ML models are deployed efficiently and reliably. Our platform supports Kubernetes, allowing for the seamless integration and orchestration of containerized ML jobs. This support is crucial for maintaining consistent performance across different environments and scaling resources dynamically based on workload demands. Auto-Generate AQL from Natural Language Set up dynamic AQL generation for GraphRAG. Leverage prompt engineering to create intelligent and adaptive queries, enabling real-time data interactions and natural language processing capabilities. This ensures that your queries are responsive and context-aware, providing accurate insights. Schedule a Demo Today to discover the power and flexibility of the ArangoDB Data Science Suite. Read The Whitepaper on LLMs + Knowledge Graphs.. Download arangodb (PDF) arangodb. Getting started with arangodb; arangodb. Getting started with arangodb; arangodb. Getting started with arangodb. Fastest Entity Framework Extensions

GitHub - arangodb/arangodb: ArangoDB is a native multi-model

“We use ArangoDB for storing and processing of geo locations (i.e., beacons, router, GPS information), storing and sending notifications, and processing campaigns. We even run the proximity based algorithm on ArangoDB to decide which notification or campaign will be shown to the user.” –Alex Pavlov, Lead Software Engineer Get started free today (no credit card required), and experience the shortest time to value for a hosted graph DB. Read the Case Studies Learn why companies across industries are switching to ArangoDB for Graph. Native Support For Spatial Data ArangoDB excels in geospatial applications with its native capability to efficiently store and process complex spatial data relationships. Integrating geospatial data with other data ypes on a single platform enables developers to build advanced analytics and location-based services across industries. Real-Time Fleet Tracking ArangoDB’s geospatial features simplify the integration of location data, which is essential for real-time tracking and logistics optimization. This eliminates the need for developers to merge location-based and database systems manually, greatly reducing errors and simplifying data management. Spatial Analytics for Retail Retailers face challenges in gaining insights into customer behavior, such as most visited sections, time spent in areas, and movement paths through the store. While technologies like Wi-Fi, Bluetooth, and heat maps can track this data, integrating it is complex. ArangoDB is the first viable solution to efficiently incorporate spatial data, offering a practical solution to leverage insights and optimize store layouts and product placement. Location-Based Recommendations Imagine a restaurant recommendation app powered by ArangoDB. It cross-references real-time location with user preferences and relationships to deliver personalized dining suggestions. This unique real-time analysis capability provides a richer, context-aware user experience without needing multiple databases or complex data transformations, profoundly streamlining and simplifying development. Geofencing for IoT For IoT applications needing to set up boundaries and take actions based on location, ArangoDB is an ideal choice. It can personalize services, send security alerts, and track assets. ArangoDB enables quick adaptation and response by seamlessly merging location and context, making it a practical and reliable choice for IoT solutions focused on real-time efficiency. ArangoDB vs. Commodity Graph DBs For Geospatial Explore Other Use Cases Get started free today (no credit card required), and experience the shortest time to value for a hosted graph DB. Read the Case Studies about how companies across industries are switching to Graph.

ArangoDB Web UI - Web Interface ArangoDB - ArangoDB

ArangoDB Community Edition Unlock the Power of Multi-Model Databases with ArangoDB Community Edition: A Free, Open-Source Solution for Agile Teams Seeking Scalability, Flexibility, and High Performance. Native Graph Store both data and relationships, for faster queries even with multiple levels of joins and deeper insights that simply aren’t possible with traditional relational and document databases. Document Store Every node in your graph is a JSON document: flexible, extensible, and easily imported from your existing document database. ArangoSearch Natively integrated cross-platform indexing, text-search and ranking engine for information retrieval, optimized for speed and memory. Get started with Graph today with no credit card required. Read the Graph Done Right White Paper to understand everything about Graph Databases and their use cases Read the Case Studies about how companies across industries are switching to Graph. ArangoDB Query Language AQL provides a powerful way to access and combine all data access strategies in ArangoDB. Foxx Microservices Unify your data storage logic, reduce network overhead and secure sensitive data with Foxx. Full GeoJSONSupport Enrich your graph, document or search queries with geo-locational aspects. MongoDB ArangoDB vs. Neo4j ArangoDB vs. Cassandra Get started with Graph today with no credit card required. Read the Graph Done Right White Paper to understand everything about Graph Databases and their use cases Read the Case Studies about how companies across industries are switching to Graph.

arangodb/kube-arangodb: ArangoDB Kubernetes Operator - GitHub

Server option --database.directory)You are using a configuration file which is located outside of the directorycreated when extracting the ZIP archive (a configuration file can be passed viathe server option --configuration)Assuming that:Your data directory is directory1 (e.g. “D:\arango\data”)Your configuration file is file (e.g. “D:\arango\conf\arangod.conf”)Your old binaries are on directory2 (e.g. “C:\tools\arangodb-3.4.0”)to perform the upgrade of a Single Instance:Download and extract the new ZIP package into a new directory (e.gdirectory3 “C:\tools\arangodb-3.4.1”)Stop your old serverStart again the server (this time using the binary located in directory3)passing:directory1 as --database.directory,file as --configurationthe option --database.auto-upgrade (so that the old data directory willbe upgraded)When the previous step is finished the server will stop automatically; youcan now start your server again as done in the previous step but withoutpassing the --database.auto-upgrade optionOptionally remove the old server package by dropping the correspondingdirectory when you are confident enough that all is working fine.Logical upgrade To perform the upgrade of a Single Instance:Download the new package and extract it on a different location than theprevious oneStop writes to the old server (e.g. block incoming connections)Take a backup of the data using arangodumpStop the old serverOptional (depending on whether or not you modified default configuration),copy old ArangoDB configuration file to the new server (or just editthe new configuration file)Start the new server (with a fresh data directory, by default it will beinside the directory created when extracting the ZIP archive)Restore the backup into the new server using arangorestoreRe-enable the writes (e.g. allow again incoming connections)Optionally remove the old server package by dropping the correspondingdirectory when you are confident enough that all is working fine.. Download arangodb (PDF) arangodb. Getting started with arangodb; arangodb. Getting started with arangodb; arangodb. Getting started with arangodb. Fastest Entity Framework Extensions Download ArangoDB Java Driver for free. The official ArangoDB Java driver. ArangoDB Java Driver is the official Java client for interacting with ArangoDB, a multi-model