Consolidate to Graph
Graph databases in many cases can replace a myriad of disparate database technologies
"Why ArangoDB? It's a Native Multimodal Database for graph, document, key/value, and search engine all in one engine, and accessible with one query language. It has a Document store. That's why we selected ArangoDB."
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Free today
(no credit card required), and experience the shortest time to value for a hosted graph DB.
RDBMS to Graph Guide
Learn why companies across industries are switching to ArangoDB for Graph.
speed & efficiency
Graph Databases are Built for Relationships
SQL databases are great for structured data but struggle with complex relationships. Joining tables for interconnected data leads to complex queries with slow performance. As data and relationships grow, SQL databases are less efficient than graph databases, which deliver high performance when navigating data with complex relationships.
higher performance
“Schema Free” vs.
Complex Joins
Graph databases are "schema-free," focusing on nodes and edges for flexible and high-performance representation of complex relationships. Graph databases adapt more seamlessly than SQL databases to changing business conditions and new data additions.
focus on relationships
AI/ML Ready
When it comes to Machine Learning (ML) and Artificial Intelligence (AI), the advantage of Graph Databases over SQL databases lies in their focus on relationships. ML and AI models heavily rely on understanding data connections and dependencies to make accurate predictions and gain valuable insights.
efficient and fast
Simplified Data Import
Graph databases allow for easy and dynamic addition of new data without the need to define rigid table structures or schemas. This makes data loading more straightforward and efficient as there is no need to predefine data types and relationships.
world of graph
No Data Redundancy
Imagine having to create a separate dataset that normalizes data into separate tables, introducing additional complexity in data preparation. This is the world of trying to represent complex relationships in a RDBMS. In graph databases, relationships are inherently modeled, dramatically reducing complexity and redundancy.
Get started
Free today
(no credit card required), and experience the shortest time to value for a hosted graph DB.
RDBMS to Graph Guide
Learn why companies across industries are switching to ArangoDB for Graph.