dgraph alternatives and similar packages
Based on the "Database" category.
Alternatively, view dgraph alternatives based on common mentions on social networks and blogs.
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vitess
vitess provides servers and tools which facilitate scaling of MySQL databases for large scale web services. -
groupcache
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TinyGo
Go compiler for small places. Microcontrollers, WebAssembly, and command-line tools. Based on LLVM. -
go-cache
An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications. -
VictoriaMetrics
fast, resource-effective and scalable open source time series database. May be used as long-term remote storage for Prometheus. Supports PromQL. -
buntdb
A fast, embeddable, in-memory key/value database for Go with custom indexing and spatial support. -
xo
Generate idiomatic Go code for databases based on existing schema definitions or custom queries supporting PostgreSQL, MySQL, SQLite, Oracle, and Microsoft SQL Server. -
sql-migrate
Database migration tool. Allows embedding migrations into the application using go-bindata. -
immudb
immudb is a lightweight, high-speed immutable database for systems and applications written in Go. -
nutsdb
Nutsdb is a simple, fast, embeddable, persistent key/value store written in pure Go. It supports fully serializable transactions and many data structures such as list, set, sorted set. -
skeema
Pure-SQL schema management system for MySQL, with support for sharding and external online schema change tools. -
Bitcask
Bitcask is an embeddable, persistent and fast key-value (KV) database written in pure Go with predictable read/write performance, low latency and high throughput thanks to the bitcask on-disk layout (LSM+WAL).
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README
The Only Native GraphQL Database With A Graph Backend.
Dgraph is a horizontally scalable and distributed GraphQL database with a graph backend. It provides ACID transactions, consistent replication and linearizable reads. It's built from ground up to perform for a rich set of queries. Being a native GraphQL database, it tightly controls how the data is arranged on disk to optimize for query performance and throughput, reducing disk seeks and network calls in a cluster.
Dgraph's goal is to provide Google production level scale and throughput, with low enough latency to be serving real time user queries, over terabytes of structured data. Dgraph supports GraphQL query syntax, and responds in JSON and Protocol Buffers over GRPC and HTTP.
Use Discuss Issues for reporting issues about this repository.
Status
Dgraph is at version 20.07.2 and is production ready. Apart from the vast open source community, it is being used in production at multiple Fortune 500 companies, and by Intuit Katlas and VMware Purser.
Quick Install
The quickest way to install Dgraph is to run this command on Linux or Mac.
curl https://get.dgraph.io -sSf | bash
Install with Docker
If you're using Docker, you can use the official Dgraph image.
docker pull dgraph/dgraph:latest
Install from Source
If you want to install from source, install Go 1.13+ or later and the following dependencies:
Ubuntu
sudo apt-get update
sudo apt-get install gcc make
macOS
As a prerequisite, first install XCode (or the XCode Command-line Tools) and Homebrew.
Next, install the required dependencies:
brew update
brew install jemalloc go
Build and Install
Then clone the Dgraph repository and use make install
to install the Dgraph binary to $GOPATH/bin
.
git clone https://github.com/dgraph-io/dgraph.git
cd ./dgraph
make install
Get Started
To get started with Dgraph, follow:
- Installation to queries in 3 steps via dgraph.io/docs/.
- A longer interactive tutorial via dgraph.io/tour/.
- Tutorial and presentation videos on YouTube channel.
Is Dgraph the right choice for me?
- Do you have more than 10 SQL tables, connected to each other via foreign keys?
- Do you have sparse data, which doesn't elegantly fit into SQL tables?
- Do you want a simple and flexible schema, which is readable and maintainable over time?
- Do you care about speed and performance at scale?
If the answers to the above are YES, then Dgraph would be a great fit for your application. Dgraph provides NoSQL like scalability while providing SQL like transactions and ability to select, filter and aggregate data points. It combines that with distributed joins, traversals and graph operations, which makes it easy to build applications with it.
Dgraph compared to other graph DBs
Features | Dgraph | Neo4j | Janus Graph |
---|---|---|---|
Architecture | Sharded and Distributed | Single server (+ replicas in enterprise) | Layer on top of other distributed DBs |
Replication | Consistent | None in community edition (only available in enterprise) | Via underlying DB |
Data movement for shard rebalancing | Automatic | Not applicable (all data lies on each server) | Via underlying DB |
Language | GraphQL inspired | Cypher, Gremlin | Gremlin |
Protocols | Grpc / HTTP + JSON / RDF | Bolt + Cypher | Websocket / HTTP |
Transactions | Distributed ACID transactions | Single server ACID transactions | Not typically ACID |
Full Text Search | Native support | Native support | Via External Indexing System |
Regular Expressions | Native support | Native support | Via External Indexing System |
Geo Search | Native support | External support only | Via External Indexing System |
License | Apache 2.0 | GPL v3 | Apache 2.0 |
Users
- Dgraph official documentation is present at dgraph.io/docs/.
- For feature requests or questions, visit https://discuss.dgraph.io.
- Check out the demo at dgraph.io and the visualization at play.dgraph.io.
- Please see releases tab to find the latest release and corresponding release notes.
- See the Roadmap for list of working and planned features.
- Read about the latest updates from Dgraph team on our blog.
- Watch tech talks on our YouTube channel.
Developers
- See a list of issues that we need help with.
- Please see Contributing to Dgraph for guidelines on contributions.
Client Libraries
The Dgraph team maintain a number of officially supported client libraries. There are also libraries contributed by the community unofficial client libraries.
Contact
- Please use discuss.dgraph.io for documentation, questions, feature requests and discussions.
- Please use discuss.dgraph.io for filing bugs or feature requests.
- Follow us on Twitter @dgraphlabs.
*Note that all licence references and agreements mentioned in the dgraph README section above
are relevant to that project's source code only.