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Distributed
Dgraph shards the data to horizontally scale to hundreds of servers. It is designed to minimize the number of disk seeks and network calls.
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Fast
Dgraph is built like a search engine. Queries are broken into sub-queries, which run concurrently to achieve low-latency and high throughput.
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Transactional
With distributed ACID transactions, you can focus on your application logic, instead of worrying about data integrity.
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Highly Available
Dgraph automatically runs synchronous replication, so losing a hard disk or a server doesn't affect your services.
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Shard Rebalancing
Dgraph ensures that data is evenly balanced across servers by automatically moving shards, improving resource utilization for high performance.
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Open Source
Written entirely in Go, Dgraph is available under the Apache 2.0 license for easy adoption.
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Flexible Schema
Quick iteration is important to keep your users happy. An adaptable flexible schema works with you as your application design evolves.
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User Interface
Dgraph provides a user interface, so you can browse and manage your data, making it easier to stay on top of things.
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Designed for SSD
Dgraph internal key-value store, Badger is designed to reduce RAM usage and rely on SSD for performance. That's fast and cheap.
Distributed by design.
Dgraph can easily scale to multiple machines, or datacenters. Its sharded storage and query processing were specifically designed to minimize the number of network calls.
Watch MoreDistributed joins are a cakewalk
Dgraph can run complex distributed queries involving filters, string matching, pagination, sorting and geolocations blazingly fast.
- Powered by Dgraph
| Entities found | : | {{latency_data.entity_count}} |
| Server latency | : | {{ latency_data.total }} |
| Processing | : | {{latency_data.processing}} |
| JSON Conversion | : | {{latency_data.json}} |
