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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tidb
TiDB is an open-source, cloud-native, distributed, MySQL-Compatible database for elastic scale and real-time analytics. Try AI-powered Chat2Query free at : https://www.pingcap.com/tidb-serverless/ -
cockroach
CockroachDB — the cloud native, distributed SQL database designed for high availability, effortless scale, and control over data placement. -
groupcache
groupcache is a caching and cache-filling library, intended as a replacement for memcached in many cases. -
TinyGo
Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM. -
bytebase
The GitHub/GitLab for database DevOps. World's most advanced database DevOps and CI/CD for Developer, DBA and Platform Engineering teams. -
immudb
immudb - immutable database based on zero trust, SQL/Key-Value/Document model, tamperproof, data change history -
go-cache
An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications. -
buntdb
BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support -
pREST
PostgreSQL ➕ REST, low-code, simplify and accelerate development, ⚡ instant, realtime, high-performance on any Postgres application, existing or new -
xo
Command line tool to generate idiomatic Go code for SQL databases supporting PostgreSQL, MySQL, SQLite, Oracle, and Microsoft SQL Server -
nutsdb
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. -
gocraft/dbr (database records)
Additions to Go's database/sql for super fast performance and convenience. -
lotusdb
Most advanced key-value database written in Go, extremely fast, compatible with LSM tree and B+ tree.
InfluxDB - Purpose built for real-time analytics at any scale.
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Popular Comparisons
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 the 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 v21.03.0 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 build-essential
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 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 the 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 a list of working and planned features.
- Read about the latest updates from the 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 maintains several 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.