DBMS > Dragonfly vs. Memgraph

System Properties Comparison Dragonfly vs. Memgraph

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Editorial information provided by DB-Engines

Name

Description

A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instance

An open source graph database built for real-time streaming and compatible with Neo4j

Primary database model

Key-value store

Graph DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.53
Rank	#244	Overall
	#35	Key-value stores

Score	2.54
Rank	#98	Overall
	#8	Graph DBMS

Website

github.com/dragonflydb/dragonfly
www.dragonflydb.io

memgraph.com

Technical documentation

www.dragonflydb.io/docs

memgraph.com/docs

Developer

DragonflyDB team and community contributors

Memgraph Ltd

Initial release

2023

2017

Current release

1.0, March 2023

License

Commercial or Open Source

Open Source

BSL 1.1

Open Source

BSL 1.1; commercial license for enterprise edition available

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

C++

C and C++

Server operating systems

Linux

Data scheme

scheme-free

schema-free and schema-optional

Typing

predefined data types such as float or date

strings, hashes, lists, sets, sorted sets, bit arrays

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

SQL

Support of SQL

APIs and other access methods

Proprietary protocol

RESP - REdis Serialization Protocol

Bolt protocol
Cypher query language

Supported programming languages

C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl

.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala

Server-side scripts

Stored procedures

Lua

Triggers

publish/subscribe channels provide some trigger functionality

Partitioning methods

Methods for storing different data on different nodes

Sharding

dynamic graph partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Multi-source replication using RAFT

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

relationships in graphs

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Atomic execution of command blocks and scripts

ACID

with snapshot isolation

Concurrency

Support for concurrent manipulation of data

yes, strict serializability by the server

yes, multi-version concurrency control (MVCC)

Durability

Support for making data persistent

yes

with periodic snapshot and write-ahead logging (WAL) of changes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Password-based authentication

Users, roles and permissions

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More resources

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Memgraph is Recognized as a Responsive Company in the Knowledge Graph Market by MarketsandMarkets' 360Quadrants
9 April 2025, MarketsandMarkets

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25 March 2025, Computer Weekly

provided by Google News

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