System requirements

Neo4j can be installed in many environments and for different scopes, therefore system requirements largely depend on the use of the software. This section distinguishes between a personal/development installation and a server-based installation used for production workloads.

Neo4j AuraDB is a fully managed Neo4j database, hosted in the cloud and requires no installation. For more information, see the AuraDB product page and AuraDB documentation.

Supported platforms

Neo4j is supported on systems with x86_64 and ARM architectures on physical, virtual, or containerized platforms.

Hardware requirements

In terms of minimum hardware requirements, follow these guidelines:

Table 1. Hardware requirement guidelines

CPU

Performance is generally memory or I/O bound for large graphs, and compute-bound for graphs that fit in memory.

Memory

More memory allows for larger graphs, but it needs to be configured properly to avoid disruptive garbage collection operations.

Storage

Aside from capacity, the performance characteristics of the disk are the most important when selecting storage:

  • Neo4j workloads tend significantly toward random reads.

  • Select media with low average seek time: SSD over spinning disks.

For personal use and software development:

Table 2. Hardware requirement guidelines for personal use and software development

CPU

Intel x86-x64 Core i3 minimum, Core i7 recommended. AMD x86-x64, ARM64 (such as Apple Silicon,  Graviton).

Memory

2GB minimum, 16GB or more recommended.

Storage

10GB SATA Minimum, SSD with SATA Express or NVMe recommended.

For cloud environments:

Table 3. Hardware requirement guidelines for cloud environments

CPU

2vCPU minimum, 16+ recommended.

Memory

2GB minimum. Actual requirements depend on workloads. In some cases, it is recommended to use instances with memory that fits the size of the graph in use.

Storage

10GB minimum block storage, attached NVMe SSD recommended. Storage size depends on the size of the databases.

For server-based, on-premises environments:

Table 4. Hardware requirement guidelines for server-based, on-premises environments

CPU

Intel/AMD x86-x64. ARM64.

Memory

8GB minimum. Actual requirements depend on workloads. In some cases, it is recommended to use instances with memory that fits the size of the graph in use.

Storage

RAID/SAN or SSD with greater than 5000 IOPS. NVMe SSD is recommended. Storage size depends on the size of the databases.

For more information, see Performance, and more specifically Memory Configuration and Tuning of the garbage collector, and Disks, RAM and other tips.

Software requirements

For cloud and on-premises production environments:

Table 5. Software requirements for cloud and on-premises production environments
Operating System Supported JDK

Amazon Linux 2023 AMI

Amazon Corretto 21/25 and OracleJDK 21/25

CentOS Stream 8, 9, 10

OpenJDK 21/25, OracleJDK 21/25, and ZuluJDK 21/25

Debian 11, 12, 13

OpenJDK 21/25, OracleJDK 21/25, and ZuluJDK 21/25

Red Hat Enterprise Linux Server 8.x, 9.x, 10.x

Red Hat OpenJDK 21/25, Oracle JDK 21/25, and ZuluJDK 21/25

Ubuntu Server 22.04, 24.04

OpenJDK 21/25, OracleJDK 21/25, and ZuluJDK 21/25

Windows Server 2022, 2025

OracleJDK 21/25, ZuluJDK 21/25

For more information on Red Hat Enterprise Linux Life Cycle, refer to their official documentation.

Neo4j 2026.08.1 is built and tested against RHEL 8.10, 9.6, and 10.0, and assumes compatibility across other minor releases within the RHEL 8.x, 9.x, and 10.x major versions.

For personal use and software development:

Table 6. Software requirements for personal use and software development
Operating System Supported JDK

Debian 11, 12, 13

OpenJDK 21/25, OracleJDK 21/25, and ZuluJDK 21/25

macOS 13, 14, 15, 26

OpenJDK 21/25, ZuluJDK 21/25

SuSE Enterprise Desktop 15

OpenJDK 21/25, OracleJDK 21/25

Ubuntu Desktop 22.04, 24.04

OpenJDK 21/25, OracleJDK 21/25, and ZuluJDK 21/25

Windows 11

OracleJDK 21/25, ZuluJDK 21/25

Java 25 is supported starting from Neo4j 2025.10.

  • Ubuntu Server 22.04, macOS 15 (Sequoia), and CentOS Stream 9 are deprecated as of 2026.05, with support for these platforms being removed in a future release.

  • CentOS Stream 8.x is deprecated as of 2026.01, with support for this platform being removed in a future release.

  • Red Hat Enterprise Linux 8.x, Debian 11.x, Windows Server 2022, macOS 13 Ventura, and macOS 14 Sonoma are deprecated as of Neo4j 2025.10.

They will continue to be supported along with the next LTS release in 2026, but new releases after the 2026 LTS will no longer support these platforms. It is recommended to upgrade to a supported OS version before the next LTS release.

Filesystem

For proper ACID behavior, the filesystem must support flush operations such as fsync and fdatasync. Since databases can place a high and consistent load on a storage system for long periods, it is recommended to use a filesystem with strong aging characteristics.

On Linux systems, a POSIX-compliant filesystem is required. Network shares such as NFS do not meet this POSIX requirement. The only supported filesystems on Linux are EXT4 and XFS.

See Linux file system tuning for details on how to configure the filesystem in Linux for optimal performance.

If tmp is set to noexec, it is recommended to set server.jvm.additional=-Djava.io.tmpdir=/home/neo4j in conf/neo4j.conf and replace /home/neo4j with a path that has exec permissions.

For /bin/cypher-shell, set this via an environment variable: export JAVA_OPTS=-Djava.io.tmpdir=/home/neo4j and replace /home/neo4j with a path that has exec permissions.

For the Neo4j’s uses of the Java Native Access (JNA) library, set server.jvm.additional=-Djna.tmpdir=/tmp in conf/neo4j.conf and replace /tmp with a path that has exec permissions.

On Windows, use the default filesystem with its default settings. Do not use a FAT filesystem.

Java

It is required to have a pre-installed, compatible Java Virtual Machine (JVM) to run a Neo4j instance. The minimum requirement is Java Runtime Environment (JRE).

Table 7. Neo4j version and JVM requirements
Neo4j Version JVM compliancy

2025.10

Java SE 21 and Java SE 25 Platform Specification

2025.01

Java SE 21 Platform Specification

5.26 LTS

Java SE 17 and Java SE 21 Platform Specification

5.14

Java SE 17 and Java SE 21 Platform Specification

5.x

Java SE 17 Platform Specification

4.x

Java SE 11 Platform Specification

3.x

Java SE 8 Platform Specification

Neo4j Desktop is available for developers and personal users. Neo4j Desktop is bundled with a JVM. For more information on how to use Neo4j Desktop and its capabilities, see the Neo4j Desktop documentation.

Network

Neo4j supports IPv4, IPv6, and dual-stack (IPv4 and IPv6 simultaneously) network configurations. The host operating system must have IPv6 enabled and configured on the relevant network interface when using IPv6.

For more information on configuring Neo4j with IPv6, see your relevant operating system documentation, or Configure network connectors.

Glossary

allocator

A component in the cluster that allocates databases to servers according to the topology constraints specified and an allocation strategy.

asynchronous replication

Asynchronous replication is used by secondary copies to poll for new transactions, which means they cannot be guaranteed to have received the most recent transactions. This enables efficient scale-out of read-performance.

Aura instance

A fully-managed DBMS represented by a single instance ID, that is running in the Neo4j Aura cloud.

auto-commit transaction

An automatically committed transaction that contains a single query.

Bolt protocol

Bolt is a protocol used for interaction between Neo4j instances and drivers.

bookmark

A marker the client can request from the cluster to ensure that it is able to read its own writes so that the application’s state is consistent and only databases that have a copy of the bookmark are permitted to respond.

category (Bloom)

A category is based on a node label and is defined in a Perspective as a way of visually distinguishing nodes with the same label(s).

causal consistency

All servers in a cluster agree on the order in which transactions take place. The position of a server on the causal chain can be guaranteed using a bookmark.

cluster

A Neo4j DBMS that spans multiple servers working together to increase fault tolerance and/or read scalability. Databases on a cluster may be configured to replicate across servers in the cluster thus achieving read scalability or high availability.

client application

Software that interacts with a Neo4j server.

commit

A commit is the successful completion of a transaction, which ensures durability of any changes made. For more details, visit Operations Manual → Transaction management.

composite database

Composite databases are the means to access partitioned graph data with a single Cypher query.

constraint

Constraints are sets of data modeling rules that ensure the data is consistent and reliable.

Cypher®

Neo4j’s graph query language.

data model

A data model defines how information is organized in a database. A good data model will make querying and understanding your data easier. In Neo4j, the data models have a graph structure.

database

A database is a container used by the DBMS to manage and store graph data. The physical structure of data is controlled by the database.

database vs graph

Databases are the physical containers of graph data. Graphs are the logical structure of data in Neo4j.

Database Management System

Database Management System, or DBMS, capable of managing multiple databases. A DBMS may run on a single server, or span several servers configured as a cluster.

database schema

The prescribed property existence and datatypes for nodes and relationships.

deallocate

An act of removing a database from a server or a server from a cluster without loss of data or reduced fault tolerance.

degree (of a node)

The number of relationships of a specific node; loops are counted twice.

disaster recovery

A manual intervention to restore availability of a cluster, or databases within a cluster.

driver

A software library that provides access to Neo4j from a particular programming language.

election

In the event that the Raft leader becomes unresponsive, followers automatically trigger an election and vote for a new leader.

entity

A node or a relationship.

expression (Cypher)

A component of a Cypher query which produces values. It may be used in projections, as a predicate, or when setting properties on graph elements.

fabric

Fabric is the architectural design of a unified system that provides a single access point to local or distributed graph data.

fault tolerance

A guarantee that a cluster can maintain a database’s persistence and availability in the event of one or more servers failing.

follower

A primary copy of a database acting as a follower, receives and acknowledges synchronous writes from the leader.

Generative AI (GenAI)

A type of artificial intelligence (AI) system that generates text, images, or other media in response to prompts.

graph

A logical representation of a set of nodes where some pairs are connected by relationships.

index

Data structure that improves read performance of a database.

knowledge graph

A specific type of graph that has an organizing principle so that a user (or a computer system) can reason about the underlying data. The organizing principle provides an additional layer of structure that adds context to support knowledge discovery.

label

Marks a node as a member of a named and indexed subset. A node may be assigned zero or more labels.

leader

A single primary copy of a database is designated as the leader. It receives all write transactions from clients and replicates writes synchronously to followers and asynchronously to secondary copies of the database.

main database

In terms of Neo4j Enterprise Studio, the database(s) containing the user’s data. Can exist in the same Neo4j deployment as the tool asset database.

motif

A description of a specific pattern within a graph.

node

A node represents an entity or discrete object in your graph data model. Nodes can be connected by relationships, hold data in properties, and are classified by labels.

operator

A symbol representing a mathematical or logical operation.

parameter

Named value provided when running a Cypher statement.

path

A sequence of nodes and the relationships connecting them, that does not contain duplicate relationships. Several paths can match a pattern.

pattern

A specific arrangement of nodes and relationships that can be matched in a graph. A pattern follows a motif.

perspective (Bloom)

A Perspective defines a certain business view or domain that can be found in the target Neo4j graph. A single Neo4j graph can be viewed through different Perspectives, each tailored for a different business purpose.

primary

A copy of the database that is able to process write transactions and is eligible to be elected as a leader. It participates in fault tolerant writes as it is part of the majority required to acknowledge and commit write transactions.

primary vs secondary

In a cluster, databases can operate in either primary or secondary mode. Primary databases are able to process write and read transactions, ensuring fault tolerance. Secondary databases are replicated asynchronously from primaries, and their main purpose is to provide read scaling within the cluster.

project (Aura)

An isolated environment in the unified Aura console that contains its own database instances, configurations, and resources. Preceded by tenant in the classic Aura console.

property

Properties are key-value pairs that are used for storing data on nodes and relationships.

query (Cypher)

A statement that retrieves or writes information to a database.

Raft group

A group of servers that are participating in hosting a particular database in primary mode.

Raft group member

A server that is participating in a Raft group. A server can be a member of one or more groups.

Raft log

A shared log between all Raft group members that is guaranteed to be consistently updated and viewed by those members. The log contains both database data and operational state of the Raft group.

Raft protocol

The networking mechanism that enables a database to replicate its data across multiple servers to give high availability for accessing the data and high durability to the data stored.

read scaling

Distributing query load by creating additional database copies hosted in secondary mode (read-only).

relationship

A relationship represents a connection between nodes in your graph data model. Relationships connect a source node to a target node, hold data in properties, and are classified by type.

secondary

An asynchronously replicated copy of the database that provides read scaling within the cluster.

seed

A seed is a database dump or a full backup used to create a database on a cluster. This is sometimes called seeding.

server

A physical machine, a virtual machine, or a container running an instance of Neo4j. Servers can be standalone or part of a cluster.

session

A causally linked sequence of transactions.

session consistency

An alternative name for Neo4j’s causal consistency.

standalone

A single server running Neo4j and not part of a cluster.

synchronous replication

Synchronous replication requires the leader primary to replicate a transaction and block the commit until a quorum of the follower primaries acknowledges that the transaction is successfully replicated. Once the transaction is replicated, the commit is allowed to proceed. This ensures data durability and consistency within the cluster.

system database

A database used by Neo4j to store system information.

tenant (Aura)

An isolated environment in the classic Aura console that contains its own database instances, configurations, and resources. Replaced by project in the unified Aura console.

tool asset database

In terms of Neo4j Enterprise Studio, the database where tools' assets are stored. This can be in the same Neo4j deployment as the main database(s) or in a separate deployment.

topology

A configuration that describes how the copies of a database should be spread across the servers in a cluster, see primary mode and secondary mode.

transaction

A transaction comprises a unit of work performed against a database. It is treated in a coherent and reliable way, independent of other transactions. Transactions comply with the ACID consistency model (atomic, consistent, isolated, and durable).