Accelerating Innovation in Software & Technology: Robust Data Management for Scalable Applications, Real-Time Analytics, and Agile Development Environments.
"At first we thought about using separate data stores, and evaluated the usual suspects for each data model – MongoDB for the document part, and Neo4j and Sparksee for the graph part. ArangoDB’s multi-model approach provided the answer to addressing both ease-of-deployment and the different data storage paradigms we need."
Get started with
Graph 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.
Step 1
User Profile Management
Use ArangoDB to create and manage user profiles, including authentication data, preferences, and access permissions. ArangoDB efficiently stores and manages user profiles, encompassing authentication data, preferences, and access permissions. Its flexible data model ensures secure,
customizable, and scalable user management for applications.
Step 2
Personalized Content Delivery
Building upon user profiles, leverage ArangoDB to deliver personalized content. After all, user profiles are the foundation for understanding user preferences and are essential for delivering relevant personalized content. Now you can analyze user behavior and preferences to provide tailored recommendations and experiences.
Step 3
App Performance Monitoring
Personalized content delivery insights contribute to understanding user interactions which can impact application performance. Now use ArangoDB to rapidly collect and analyze data on application response times, error rates, and resource usage for optimization. ArangoDB’s ”schemaless” approach is critical here.
Step 4
Analytics & BI
Expanding on Step 3, utilize ArangoDB for its advanced data analytics. Combine user behavior, application performance, and external data to derive insights for informed decision-making. Application performance data, especially, provides context for understanding user interactions' effects on performance. But gathering this data in its multiple formats is only enabled by ArangoDB, and its flexible schema makes ongoing additions a breeze.
Step 5
ML & AI Integration
If you have the right analytic inputs from Step 4, you can use this as the foundation for training ML models, enabling AI-powered automation and predictions. It just so happens that ArangoDB’s own GraphML framework is the best platform to use as the foundation for this (with OEM options), with the added benefit of integrating Large Language Models + knowledge graphs.
Get started with
Graph 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.