DBMS > ArcadeDB

ArcadeDB System Properties

Please select another system to compare it with ArcadeDB.

Our visitors often compare ArcadeDB with MySQL, Microsoft Azure Table Storage and Altibase.

Editorial information provided by DB-Engines

Name

Description

Native multi-model DBMS for graph, document, key-value, time-series, search, and vector data in a single ACID-compliant engine. Speaks SQL, OpenCypher, Gremlin, and GraphQL, and exposes PostgreSQL, MongoDB, Redis, and Neo4j Bolt wire protocols, allowing existing client drivers to connect without code changes.

Primary database model

Document store
Graph DBMS
Key-value store
Search engine
Time Series DBMS
Vector DBMS

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

Score	0.23
Rank	#301	Overall
	#45	Document stores
	#26	Graph DBMS
	#43	Key-value stores
	#22	Search engines
	#25	Time Series DBMS
	#20	Vector DBMS

Website

arcadedb.com

Technical documentation

docs.arcadedb.com

Developer

Arcade Data

Initial release

2021

Current release

26.4.2, April 2026

License

Commercial or Open Source

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java (JDK 21+)

Server operating systems

Linux, macOS, Windows; Docker; Kubernetes

Data scheme

schema-free

Typing

predefined data types such as float or date

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

yes

SQL

Support of SQL

SQL with extensions for graph traversal and vector search

APIs and other access methods

Bolt protocol (Neo4j-compatible)
GraphQL
JDBC
MongoDB wire protocol
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin

Supported programming languages

any language with a PostgreSQL, MongoDB, Redis or Neo4j Bolt driver
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust

Server-side scripts

Stored procedures

Yes (JavaScript, SQL, and Java functions)

Triggers

Yes (event hooks via plugins)

Partitioning methods

Methods for storing different data on different nodes

Sharding by bucket; horizontal partitioning per type

Replication methods

Methods for redundantly storing data on multiple nodes

Replication with HA mode using Raft consensus for quorum-based high availability

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate consistency (single node); tunable consistency in HA mode (configurable read/write quorum)

Foreign keys

Referential integrity

yes

relationship in graphs

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

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

Yes (off-heap page cache; embedded mode runs entirely in-process within the JVM)

User concepts

Access control

Users, roles, per-database access control with fine-grained type and property permissions

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

Why developers like Apache TinkerPop, an open source framework for graph computing
27 September 2021, Amazon Web Services (AWS)

provided by Google News

Share this page