Backup and Restore Neo4j database using KubeStash
KubeStash allows you to backup and restore Neo4j databases. It supports backups for Neo4j instances running in Standalone and HA cluster configurations. KubeStash makes managing your Neo4j backups and restorations more straightforward and efficient.
This guide will give you an overview how you can take backup and restore your Neo4j databases using KubeStash.
Before You Begin
- At first, you need to have a Kubernetes cluster, and the
kubectlcommand-line tool must be configured to communicate with your cluster. If you do not already have a cluster, you can create one by usingMinikubeorKind. - Install
KubeDBin your cluster following the steps here. - Install
KubeStashin your cluster following the steps here. - Install KubeStash
kubectlplugin following the steps here. - If you are not familiar with how KubeStash backup and restore Neo4j databases, please check the following guide here.
You should be familiar with the following KubeStash concepts:
To keep everything isolated, we are going to use a separate namespace called demo throughout this tutorial.
$ kubectl create ns demo
namespace/demo created
Note: YAML files used in this tutorial are stored in docs/guides/neo4j/backup/kubestash/logical/examples directory of kubedb/docs repository.
Backup Neo4j
KubeStash supports backups for Neo4j instances across different configurations, including Standalone and HA Cluster setups. In this demonstration, we’ll focus on a Neo4j database using HA cluster configuration. The backup and restore process is similar for Standalone configuration.
This section will demonstrate how to backup a Neo4j database. Here, we are going to deploy a Neo4j database using KubeDB. Then, we are going to backup this database into an S3 bucket. Finally, we are going to restore the backed up data into another Neo4j database.
Deploy Sample Neo4j Database
Let’s deploy a sample Neo4j database and insert some data into it.
Create Neo4j CR:
Below is the YAML of a sample Neo4j CR that we are going to create for this tutorial:
apiVersion: kubedb.com/v1alpha2
kind: Neo4j
metadata:
name: sample-neo4j
namespace: demo
spec:
version: 2025.11.2
replicas: 3
storageType: Durable
storage:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 2Gi
deletionPolicy: WipeOut
Create the above Neo4j CR,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2026.6.19/docs/guides/neo4j/backup/kubestash/logical/examples/sample-neo4j.yaml
neo4j.kubedb.com/sample-neo4j created
KubeDB will deploy a Neo4j database according to the above specification. It will also create the necessary Secrets and Services to access the database.
Let’s check if the database is ready to use,
$ kubectl get neo4j -n demo sample-neo4j
NAME VERSION STATUS AGE
sample-neo4j 2025.11.2 Ready 5m1s
The database is Ready. Verify that KubeDB has created a Secret and a Service for this database using the following commands,
$ kubectl get secret -n demo -l=app.kubernetes.io/instance=sample-neo4j
NAME TYPE DATA AGE
sample-neo4j-auth Opaque 2 5m20s
$ kubectl get service -n demo -l=app.kubernetes.io/instance=sample-neo4j
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
sample-neo4j ClusterIP 10.43.214.193 <none> 6362/TCP,7687/TCP,7474/TCP 5m55s
sample-neo4j-0 ClusterIP None <none> 6362/TCP,7687/TCP,7474/TCP,7688/TCP,7000/TCP,6000/TCP 5m55s
sample-neo4j-1 ClusterIP None <none> 6362/TCP,7687/TCP,7474/TCP,7688/TCP,7000/TCP,6000/TCP 5m55s
sample-neo4j-2 ClusterIP None <none> 6362/TCP,7687/TCP,7474/TCP,7688/TCP,7000/TCP,6000/TCP 5m55s
Here, we have to use service sample-neo4j and secret sample-neo4j-auth to connect with the database. KubeDB creates an AppBinding CR that holds the necessary information to connect with the database.
Verify AppBinding:
Verify that the AppBinding has been created successfully using the following command,
$ kubectl get appbindings -n demo
NAME TYPE VERSION AGE
sample-neo4j kubedb.com/Neo4j 2025.11.2-enterprise 86s
Let’s check the YAML of the above AppBinding,
$ kubectl get appbindings -n demo sample-neo4j -o yaml
apiVersion: appcatalog.appscode.com/v1alpha1
kind: AppBinding
metadata:
annotations:
kubectl.kubernetes.io/last-applied-configuration: |
{"apiVersion":"kubedb.com/v1alpha2","kind":"Neo4j","metadata":{"annotations":{},"name":"sample-neo4j","namespace":"demo"},"spec":{"deletionPolicy":"WipeOut","replicas":3,"storage":{"accessModes":["ReadWriteOnce"],"resources":{"requests":{"storage":"2Gi"}}},"storageType":"Durable","version":"2025.11.2"}}
creationTimestamp: "2026-06-22T05:50:48Z"
generation: 1
labels:
app.kubernetes.io/component: database
app.kubernetes.io/instance: sample-neo4j
app.kubernetes.io/managed-by: kubedb.com
app.kubernetes.io/name: neo4js.kubedb.com
name: sample-neo4j
namespace: demo
ownerReferences:
- apiVersion: kubedb.com/v1alpha2
blockOwnerDeletion: true
controller: true
kind: Neo4j
name: sample-neo4j
uid: a2ab1ada-ebd5-4673-b04f-eba5ec189007
resourceVersion: "223034"
uid: f207d8bc-e4d1-427f-84cc-3199e684619e
spec:
appRef:
apiGroup: kubedb.com
kind: Neo4j
name: sample-neo4j
namespace: demo
clientConfig:
service:
name: sample-neo4j
port: 7687
scheme: noe4j
secret:
name: sample-neo4j-auth
type: kubedb.com/Neo4j
version: 2025.11.2-enterprise
KubeStash uses the AppBinding CR to connect with the target database. It requires the following fields to be set in the AppBinding’s .spec section.
Here,
.spec.clientConfig.service.namespecifies the name of the Service that connects to the database..spec.secretspecifies the name of the Secret that holds necessary credentials to access the database..spec.typespecifies the types of the app that this AppBinding is pointing to. KubeDB generated AppBinding follows the following format:<app group>/<app resource type>.
Insert Sample Data:
Now, we are going to exec into one of the database pods and create some sample data. At first, find out the database Pod using the following command,
$ kubectl get pods -n demo --selector="app.kubernetes.io/instance=sample-neo4j"
NAME READY STATUS RESTARTS AGE
sample-neo4j-0 1/1 Running 0 118s
sample-neo4j-1 1/1 Running 0 112s
sample-neo4j-2 1/1 Running 0 106s
Retrieve the auth credentials so we can connect using cypher-shell,
$ kubectl get secret -n demo sample-neo4j-auth -o jsonpath='{.data.username}' | base64 -d
neo4j
$ kubectl get secret -n demo sample-neo4j-auth -o jsonpath='{.data.password}' | base64 -d
UEke.988YxVdJbGq
Now, let’s exec into the pod and create some nodes,
$ export PASS=$(kubectl get secret -n demo sample-neo4j-auth -o jsonpath='{.data.password}' | base64 -d)
# create a few Person nodes and a relationship in the default "neo4j" database
$ kubectl exec -it -n demo sample-neo4j-0 -- cypher-shell -u neo4j -p "$PASS" \
"CREATE (alice:Person {name: 'Alice', age: 30})
CREATE (bob:Person {name: 'Bob', age: 25})
CREATE (alice)-[:KNOWS]->(bob);"
0 rows
ready to start consuming query after 25 ms, results consumed after another 0 ms
Added 2 nodes, Created 1 relationships, Set 4 properties, Added 2 labels
# verify that the data has been inserted
$ kubectl exec -it -n demo sample-neo4j-0 -- cypher-shell -u neo4j -p "$PASS" \
"MATCH (p:Person) RETURN p.name AS name, p.age AS age ORDER BY name;"
+---------------+
| name | age |
+---------------+
| "Alice" | 30 |
| "Bob" | 25 |
+---------------+
2 rows
Now, we are ready to backup the database.
Prepare Backend
We are going to store our backed up data into an S3 bucket. We have to create a Secret with necessary credentials and a BackupStorage CR to use this backend. If you want to use a different backend, please read the respective backend configuration doc from here.
Create Secret:
Let’s create a secret called s3-secret with access credentials to our desired S3 bucket,
$ echo -n '<your-access-key-id>' > AWS_ACCESS_KEY_ID
$ echo -n '<your-secret-access-key>' > AWS_SECRET_ACCESS_KEY
$ kubectl create secret generic -n demo s3-secret \
--from-file=./AWS_ACCESS_KEY_ID \
--from-file=./AWS_SECRET_ACCESS_KEY
secret/s3-secret created
Create BackupStorage:
Now, create a BackupStorage using this secret. Below is the YAML of BackupStorage CR we are going to create,
apiVersion: storage.kubestash.com/v1alpha1
kind: BackupStorage
metadata:
name: s3-storage
namespace: demo
spec:
storage:
provider: s3
s3:
endpoint: http://minio.demo.svc.cluster.local:80
bucket: kubestash-qa
prefix: demo
region: us-east-1
secretName: s3-secret
usagePolicy:
allowedNamespaces:
from: All
default: true
deletionPolicy: Delete
Let’s create the BackupStorage we have shown above,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2026.6.19/docs/guides/neo4j/backup/kubestash/logical/examples/backupstorage.yaml
backupstorage.storage.kubestash.com/s3-storage created
Now, we are ready to backup our database to our desired backend.
Create RetentionPolicy:
Now, let’s create a RetentionPolicy to specify how the old Snapshots should be cleaned up.
Below is the YAML of the RetentionPolicy object that we are going to create,
apiVersion: storage.kubestash.com/v1alpha1
kind: RetentionPolicy
metadata:
name: demo-retention
namespace: demo
spec:
default: true
failedSnapshots:
last: 2
maxRetentionPeriod: 2mo
successfulSnapshots:
last: 5
usagePolicy:
allowedNamespaces:
from: All
Let’s create the above RetentionPolicy,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2026.6.19/docs/guides/neo4j/backup/kubestash/logical/examples/retentionpolicy.yaml
retentionpolicy.storage.kubestash.com/demo-retention created
Backup
We have to create a BackupConfiguration targeting the respective sample-neo4j Neo4j database. Then, KubeStash will create a CronJob for each session to take periodic backup of that database.
Create BackupConfiguration:
Below is the YAML for BackupConfiguration CR to backup the sample-neo4j database that we have deployed earlier,
apiVersion: core.kubestash.com/v1alpha1
kind: BackupConfiguration
metadata:
name: sample-neo4j-backup
namespace: demo
spec:
target:
apiGroup: kubedb.com
kind: Neo4j
namespace: demo
name: sample-neo4j
backends:
- name: s3-backend
storageRef:
namespace: demo
name: s3-storage
retentionPolicy:
name: demo-retention
namespace: demo
sessions:
- name: frequent-backup
scheduler:
schedule: "*/5 * * * *"
jobTemplate:
backoffLimit: 1
repositories:
- name: s3-neo4j-repo
backend: s3-backend
directory: /backup
addon:
name: neo4j-addon
tasks:
- name: logical-backup
.spec.targetrefers to the targetedsample-neo4jNeo4j database that we created earlier..spec.backends[*].storageRefrefers to theBackupStoragewe created earlier where the backup data will be stored..spec.sessions[*].schedulespecifies that we want to backup the database at5 minutesinterval..spec.sessions[*].addonrefers to theneo4j-addonthat performs the backup. Thelogical-backuptask uses theneo4j-admin database backupcommand under the hood.
Let’s create the BackupConfiguration CR that we have shown above,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2026.6.19/docs/guides/neo4j/backup/kubestash/logical/examples/backupconfiguration.yaml
backupconfiguration.core.kubestash.com/sample-neo4j-backup created
Verify Backup Setup Successful
If everything goes well, the phase of the BackupConfiguration should be Ready. The Ready phase indicates that the backup setup is successful. Let’s verify the Phase of the BackupConfiguration,
$ kubectl get backupconfiguration -n demo
NAME PHASE PAUSED AGE
sample-neo4j-backup Ready 2m50s
Additionally, we can verify that the Repository specified in the BackupConfiguration has been created using the following command,
$ kubectl get repo -n demo
NAME INTEGRITY SNAPSHOT-COUNT SIZE PHASE LAST-SUCCESSFUL-BACKUP AGE
s3-neo4j-repo 0 0 B Ready 3m
KubeStash keeps the backup for Repository YAMLs. If we navigate to the S3 bucket, we will see the Repository YAML stored in the demo/backup directory.
Verify CronJob:
It will also create a CronJob with the schedule specified in spec.sessions[*].scheduler.schedule field of BackupConfiguration CR.
Verify that the CronJob has been created using the following command,
$ kubectl get cronjob -n demo
NAME SCHEDULE TIMEZONE SUSPEND ACTIVE LAST SCHEDULE AGE
trigger-sample-neo4j-backup-frequent-backup */5 * * * * <none> False 0 <none> 2m18s
Verify BackupSession:
KubeStash triggers an instant backup as soon as the BackupConfiguration is ready. After that, backups are scheduled according to the specified schedule.
$ kubectl get backupsession -n demo -w
NAME INVOKER-TYPE INVOKER-NAME PHASE DURATION AGE
sample-neo4j-backup-frequent-backup-1782108669 BackupConfiguration sample-neo4j-backup Succeeded 44s 119s
We can see from the above output that the backup session has succeeded. Now, we are going to verify whether the backed up data has been stored in the backend.
Verify Backup:
Once a backup is complete, KubeStash will update the respective Repository CR to reflect the backup. Check that the repository s3-neo4j-repo has been updated by the following command,
$ kubectl get repository -n demo s3-neo4j-repo
NAME INTEGRITY SNAPSHOT-COUNT SIZE PHASE LAST-SUCCESSFUL-BACKUP AGE
s3-neo4j-repo 1 0 B Ready 2m46s 2m57s
At this moment we have one Snapshot. Run the following command to check the respective Snapshot which represents the state of a backup run for an application.
$ kubectl get snapshots -n demo -l=kubestash.com/repo-name=s3-neo4j-repo
NAME REPOSITORY SESSION SNAPSHOT-TIME DELETION-POLICY PHASE AGE
s3-neo4j-repo-sample-neo4j-backup-frequent-backup-1782108669 s3-neo4j-repo frequent-backup 2026-06-22T06:11:20Z Delete Succeeded 3m2s
Note: KubeStash creates a
Snapshotwith the following labels:
kubedb.com/db-version: <db-version>kubestash.com/app-ref-kind: <target-kind>kubestash.com/app-ref-name: <target-name>kubestash.com/app-ref-namespace: <target-namespace>kubestash.com/repo-name: <repository-name>These labels can be used to watch only the
Snapshots related to our target Database orRepository.
If we check the YAML of the Snapshot, we can find the information about the backed up components of the Database.
$ kubectl get snapshots -n demo s3-neo4j-repo-sample-neo4j-backup-frequent-backup-1782108669 -oyaml
apiVersion: storage.kubestash.com/v1alpha1
kind: Snapshot
metadata:
annotations:
kubedb.com/db-version: 2025.11.2-enterprise
creationTimestamp: "2026-06-22T06:11:20Z"
finalizers:
- kubestash.com/cleanup
generation: 1
labels:
kubestash.com/app-ref-kind: Neo4j
kubestash.com/app-ref-name: sample-neo4j
kubestash.com/app-ref-namespace: demo
kubestash.com/repo-name: s3-neo4j-repo
name: s3-neo4j-repo-sample-neo4j-backup-frequent-backup-1782108669
namespace: demo
ownerReferences:
- apiVersion: storage.kubestash.com/v1alpha1
blockOwnerDeletion: true
controller: true
kind: Repository
name: s3-neo4j-repo
uid: 8d9ccc3f-189b-44ac-bc40-a3b15a8282a9
resourceVersion: "224107"
uid: 1ec4abef-305d-48f6-85aa-42b9f766a6ca
spec:
appRef:
apiGroup: kubedb.com
kind: Neo4j
name: sample-neo4j
namespace: demo
backupSession: sample-neo4j-backup-frequent-backup-1782108669
deletionPolicy: Delete
repository: s3-neo4j-repo
session: frequent-backup
snapshotID: 01KVPZ8WNXRWKSPN23RMFP6MNC
type: FullBackup
version: v1
status:
components:
dump:
driver: Neo4jAdmin
duration: 14.932375451s
neo4jStats:
- compressed: true
database: system
databaseID: 00000000-0000-0000-0000-000000000001
file: s3://kubestash-qa/demo/backup/repository/v1/frequent-backup/dump/system-2026-06-22T06-11-41.backup
full: true
highestTX: 145
lowestTX: 1
recovered: true
storeIDHash: "-297679445"
time: 2026-06-22T06:11:41
- compressed: true
database: neo4j
databaseID: 3efaaefe-1e16-4501-998f-a7f66f0d1ebe
file: s3://kubestash-qa/demo/backup/repository/v1/frequent-backup/dump/neo4j-2026-06-22T06-11-47.backup
full: true
highestTX: 247
lowestTX: 1
recovered: true
storeIDHash: "-506103840"
time: 2026-06-22T06:11:47
path: s3://kubestash-qa/demo/backup/repository/v1/frequent-backup/dump/
phase: Succeeded
conditions:
- lastTransitionTime: "2026-06-22T06:11:20Z"
message: Recent snapshot list updated successfully
reason: SuccessfullyUpdatedRecentSnapshotList
status: "True"
type: RecentSnapshotListUpdated
- lastTransitionTime: "2026-06-22T06:12:01Z"
message: Metadata uploaded to backend successfully
reason: SuccessfullyUploadedSnapshotMetadata
status: "True"
type: SnapshotMetadataUploaded
phase: Succeeded
snapshotTime: "2026-06-22T06:11:20Z"
totalComponents: 1
verificationStatus: NotVerified
KubeStash uses the
neo4j-admin database backupcommand to perform backups of the targetNeo4jdatabases. It backs up every database of the instance (including thesystemdatabase). Therefore, the component name for logical backups is set asdump, and theneo4jStatsfield lists each backed up database.
Now, if we navigate to the S3 bucket, we will see the backed up data stored in the demo/backup/repository/v1/frequent-backup/dump directory. KubeStash also keeps the backup for Snapshot YAMLs, which can be found in the demo/backup/snapshots directory.
Restore
In this section, we are going to restore the database from the backup we have taken in the previous section. We are going to deploy a new database and once it becomes ready, we are going to restore it from the backup.
Now, we have to deploy the restored database similarly as we have deployed the original sample-neo4j database.
Below is the YAML for Neo4j CR we are going to deploy,
apiVersion: kubedb.com/v1alpha2
kind: Neo4j
metadata:
name: restored-neo4j
namespace: demo
spec:
version: 2025.11.2
replicas: 3
storageType: Durable
storage:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 2Gi
deletionPolicy: WipeOut
Let’s create the above database,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2026.6.19/docs/guides/neo4j/backup/kubestash/logical/examples/restored-neo4j.yaml
neo4j.kubedb.com/restored-neo4j created
Let’s wait for the database to be ready to use,
$ kubectl get neo4j -n demo restored-neo4j
NAME VERSION STATUS AGE
restored-neo4j 2025.11.2 Ready 5m1s
The database is Ready. Now, we are going to restore the backed up data into this database.
Create RestoreSession:
Now, we need to create a RestoreSession CR pointing to the targeted Neo4j database.
Below, is the contents of the YAML file of the RestoreSession object that we are going to create to restore backed up data into the Neo4j database named restored-neo4j.
apiVersion: core.kubestash.com/v1alpha1
kind: RestoreSession
metadata:
name: sample-neo4j-restore
namespace: demo
spec:
target:
apiGroup: kubedb.com
kind: Neo4j
namespace: demo
name: restored-neo4j
dataSource:
repository: s3-neo4j-repo
snapshot: latest
addon:
name: neo4j-addon
tasks:
- name: logical-backup-restore
params:
seedServerName: "restored-neo4j-0" ## Neo4j Pod Name
jobTemplate:
spec:
volumes:
- name: data
persistentVolumeClaim:
claimName: data-restored-neo4j-0 # PVC Name
volumeMounts:
- mountPath: /data
name: data
subPath: data
securityContext:
runAsNonRoot: true
runAsUser: 7474
Here,
.spec.targetrefers to the newly createdrestored-neo4jNeo4j object to where we want to restore backup data..spec.dataSource.repositoryspecifies the Repository object that holds the backed up data..spec.dataSource.snapshotspecifies to restore from the latestSnapshot..spec.addon.tasks[*].params.seedServerNamespecifies theNeo4jpod that will be used to seed the restored data into the cluster. The other replicas are then synced from this seed server..spec.addon.jobTemplatemounts the data PVC of the seed pod (data-restored-neo4j-0) into the restoreJobat/dataand runs theJobas theneo4juser (runAsUser: 7474), so the restored store files have the correct ownership.
Let’s create the RestoreSession CR object we have shown above,
$ kubectl apply -f https://github.com/kubedb/docs/raw/v2026.6.19/docs/guides/neo4j/backup/kubestash/logical/examples/restoresession.yaml
restoresession.core.kubestash.com/sample-neo4j-restore created
Once you have created the RestoreSession object, KubeStash will create a restore Job. Run the following command to watch the phase of the RestoreSession object,
$ watch kubectl get restoresession -n demo
Every 2.0s: kubectl get restoresession -n demo
NAME REPOSITORY FAILURE-POLICY PHASE DURATION AGE
sample-neo4j-restore s3-neo4j-repo Succeeded 18s 116s
The Succeeded phase means that the restore process has been completed successfully.
Verify Restored Data:
In this section, we are going to verify whether the desired data has been restored successfully. We are going to connect to the database server and check whether the nodes we created earlier in the original database are restored.
At first, check if the database has gone into Ready state by the following command,
$ kubectl get neo4j -n demo restored-neo4j
NAME VERSION STATUS AGE
restored-neo4j 2025.11.2 Ready 6m31s
Now, find out the database Pod by the following command,
$ kubectl get pods -n demo --selector="app.kubernetes.io/instance=restored-neo4j"
NAME READY STATUS RESTARTS AGE
restored-neo4j-0 1/1 Running 0 6m7s
restored-neo4j-1 1/1 Running 0 6m1s
restored-neo4j-2 1/1 Running 0 5m55s
Now, let’s exec into one of the Pod and verify the restored data.
$ export PASS=$(kubectl get secret -n demo restored-neo4j-auth -o jsonpath='{.data.password}' | base64 -d)
# verify that the Person nodes have been restored
$ kubectl exec -it -n demo restored-neo4j-0 -- cypher-shell -u neo4j -p "$PASS" \
"MATCH (p:Person) RETURN p.name AS name, p.age AS age ORDER BY name;"
+---------------+
| name | age |
+---------------+
| "Alice" | 30 |
| "Bob" | 25 |
+---------------+
2 rows
So, from the above output, we can see the nodes we had created in the original database sample-neo4j have been restored in the restored-neo4j database.
Cleanup
To cleanup the Kubernetes resources created by this tutorial, run:
kubectl delete backupconfigurations.core.kubestash.com -n demo sample-neo4j-backup
kubectl delete restoresessions.core.kubestash.com -n demo sample-neo4j-restore
kubectl delete backupstorage -n demo s3-storage
kubectl delete secret -n demo s3-secret
kubectl delete retentionpolicies.storage.kubestash.com -n demo demo-retention
kubectl delete neo4j -n demo restored-neo4j
kubectl delete neo4j -n demo sample-neo4j































