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Implementing ArangoDB in the cloud for large-scale, mission-critical applications that provides higher security and 24x7 support. ArangoGraph is a fully managed graph database, document repository, and full-text search engine that supports key-value pairs, graph models, and document stores. and makes high-performance apps and scale data models.
The ArangoDB database can be more extensive in size than the available main memory. ArangoDB stores all data on disk for stability reasons.
It is a pure data manipulation language to support the various query patterns and the different data models ArangoDB offers.
ArangoDB is a native multi-model with flexible data models for documents, graphs, and critical values. Build high-performance applications using a convenient SQL-like query language or JavaScript extensions.
The database management system to create, Read, Update, and Delete operations that expose the graph data model.
Customized Managed Graph Database Solutions for Enterprise Needs.
Knowledge Graph Solutions
JanusGraph
Neo4j
Semantic Graph Database Solutions
MongoDB Solutions
Enable data analytics and relationships that would be extremely difficult or unachievable using standard analytics approaches.
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JanusGraph is a graph database that can support thousands of concurrent users executing complex graph traversals in real-time.
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Neo4j is a graph data platform that gives developers and data scientists the tools they need to build apps and machine learning workflows.
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The solution is used to represent and store data in a way that relational databases are not equipped to do.
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Fully leverage the powerful capabilities of agile development, performance, and availability to ensure your deployment is streamlined.
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Database management systems for unmatched versatility, performance, and scalability.
Fully managed database service to build and run graph applications for superior scalability and availability.
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Fully managed, serverless database that simplifies storing, syncing, and querying data for your mobile, web, and IoT apps at global scale.
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Reduce time to insight by running near real-time analytics and AI on the operational data within your Azure NoSQL database.
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