Why Dgraph
Core benefits that make Dgraph unique
Comparison
Dgraph vs other graph databases
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Enterprises testing Dgraph for production
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The only native GraphQL graph database built for the cloud.
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Turn your siloed data into real-time insights.
Dgraph
#1 graph database on GitHub.
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Dgraph
Flexible
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.”
Responsive
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.”
Scalable
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.”
How Dgraph Works
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.
Sharding
Dgraph shards the data across multiple servers, designed for efficient horizontal scalability across servers.
Concurrent queries
Similar to Google’s search engine, queries are divided into smaller parts and run concurrently.
Transactional
Using ACID transactions and automatic synchronous replication, Dgraph is engineered for high levels of data integrity and availability.
Jepsen Tested —
Dgraph is unquestionably ahead of the competition
Jepsen testing is a third-party assessment of database performance that looks for technical issues such as replica divergence, data loss, stale reads, read skew, lock conflicts, and more.
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.
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Scaling to the next level?
Dgraph Cloud:
High Availability.
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Deployed in your cloud
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.
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.”
Pan Gao,Chief Search Architect at KE HoldingsDgraph Community
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Dgraph on GitHub
Dgraph is proud to be the #1 graph database on Github with over 14k stars.
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