Change is constant. A rigid architecture hampers growth and innovation. Dgraph gives you a flexible schema and handles arbitrary depth-joins for rapid and iterative development.
“We didn’t want to have a company table and a debt table and so on. This dispersed architecture makes changes difficult. If you want to introduce even one new attribute, it’s a schema change, and that’s a nightmare to deploy. With a graph, that’s not a problem and we can modify the schema when we need to in the future.”
Modern applications require quick responses for users’ queries, no matter how complex or how large the dataset. Dgraph’s low-latency delivers milliseconds query response time for streamlined performance.
“When we performed a stress test on a thousand concurrent queries, Dgraph was still able to maintain a response time of 50 ms, while simultaneously achieving 15000/s QPS; the performance is excellent.”
The D in Dgraph stands for distributed - Dgraph was designed to be horizontally scalable, with graph database sharding built-in. Get high throughput on large volumes of data with a solution that grows with your business.
“Dgraph also gives us confidence in our ability to scale and take on new customers and opportunities — to tell a partner that we can scale quickly, limitlessly, and globally. It’s a completely new level. Forget about SQL and discover Dgraph.”
Built like a search engine, Dgraph breaks data and queries into smaller, more
manageable parts. This allows the whole system to be fast and flexible, even at scale.
Dgraph shards the data across multiple servers, designed for efficient horizontal scalability across servers.
Similar to Google’s search engine, queries are divided into smaller parts and run concurrently.
Using ACID transactions and automatic synchronous replication, Dgraph is engineered for high levels of data integrity and availability.
Based on the Jepsen test results, Dgraph is the most advanced graph database available on the market today. Particularly regarding performance, Dgraph is unquestionably ahead of the competition.
Read our blogDesigned for enterprise-level companies with terabytes of data. Run your mission-critical projects on dedicated, multi-zone clusters with high availability deployed on AWS, GCP, or Azure.
Learn more“When we performed a stress test on a thousand concurrent queries, Dgraph was still able to maintain a response time of 50 ms, while simultaneously achieving 15000/s QPS; the performance is excellent.”
See how Dgraph compares with Neo4j, TigerGraph, and JanusGraph.
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