Install Memgraph with Docker

Docker (opens in a new tab) is a service that uses OS-level virtualization to deliver software in packages that are called containers (opens in a new tab).

Memgraph uses Docker because it is:

• Flexible
• Lightweight
• Portable - you can build locally or deploy to the cloud
• Runs on all platforms - Windows, Linux and macOS
• Deploys in Kubernetes

Memgraph bundles the database along with various analytical tools into distinct Docker images.

Available Docker images

All Memgraph Docker images are available at Memgraph's Docker Hub (opens in a new tab). There you will find the exact Docker image tags you can use to install Memgraph with.

The main repositories that contain memgraph are:

• memgraph/memgraph-mage - includes Memgraph database, command-line interface mgconsole and MAGE graph algorithms library. If tagged with cuGraph, it also includes NVIDIA cuGraph GPU-powered graph algorithms.
• memgraph/memgraph - includes Memgraph database and command-line interface mgconsole.

There are also two additional standalone images that do not include the Memgraph:

• memgraph/lab - includes a web interface Memgraph Lab that helps you explore the data stored in Memgraph.
• memgraph/mgconsole - includes a command-line interface mgconsole that allows you to interact with Memgraph from the command line.

To use Memgraph, run memgraph/memgraph-mage, memgraph/memgraph-mage + cuGraph or memgraph/memgraph image. To query Memgraph, use the CLI mgconsole. If you prefer a visual user interface to query Memgraph, run memgraph/lab image or download Desktop application (opens in a new tab) from Memgraph Download hub and connect to the running Memgraph instance.

Memgraph and Memgraph Lab can be run as a multi-container application - Memgraph Platform. To do that, run the above images as services with Docker Compose.

Run Memgraph MAGE Docker image

Install and run the memgraph-mage image using the following command:

docker run -p 7687:7687 -p 7444:7444 --name memgraph memgraph/memgraph-mage

You can connect to the Memgraph instance using the command-line interface mgconsole by running the following command in a new terminal:

docker exec -it memgraph mgconsole

You can also connect to Memgraph instance using the Memgraph Lab, available for download from Memgraph's Download Hub (opens in a new tab), or using the Memgraph Lab Docker image.

To start using Memgraph in your application, use one of the client libraries and follow their getting started guide.

Run Memgraph MAGE Docker image + cuGraph

docker run --rm --gpus all -p 7687:7687 -p 7444:7444 memgraph/memgraph-mage:1.3-cugraph-22.02-cuda-11.5

docker exec -it memgraph mgconsole

Run Memgraph Docker image

Install and run the memgraph image using the following command:

docker run -p 7687:7687 -p 7444:7444 --name memgraph memgraph/memgraph

You can connect to the Memgraph instance using the command-line interface mgconsole by running the following command in a new terminal:

docker exec -it memgraph mgconsole

You can also connect to Memgraph instance using the Memgraph Lab, available for download from Memgraph's Download Hub (opens in a new tab).

To start using Memgraph in your application, use one of the client libraries and follow their getting started guide.

Load and run Memgraph Docker image from Memgraph download hub

If you've downloaded the Memgraph Docker image directly from the Memgraph download hub (opens in a new tab), you'll receive a file named similar to memgraph-2.21.0-docker.tar.gz (the exact file name varies based on the version you've downloaded).

To load this image into Docker, do the following:

docker load -i memgraph-2.21.0-docker.tar.gz

docker run -p 7687:7687 -p 7444:7444 --name memgraph memgraph/memgraph:2.18.0

Run Memgraph Lab image

Install and run the lab image using the following command:

docker run -d -p 3000:3000  --name lab memgraph/lab

Once the container is up you can access Memgraph Lab on localhost:3000 (opens in a new tab).

Issues when connecting to Memgraph Lab to Memgraph

Issues when linking Memgraph Lab with Memgraph can come from the chosen deployment method and the operating system deployed. The handling of the QUICK_CONNECT_MG_HOST environment variable differs based on the operating system:

• Mac or Windows: The host.docker.internal hostname allows Docker containers to connect to the host machine. Set this as the value for QUICK_CONNECT_MG_HOST when running Lab on Mac or Windows to enable connection to Memgraph running on the host:

  docker run -d -p 3000:3000 -e QUICK_CONNECT_MG_HOST=host.docker.internal --name lab memgraph/lab

• Linux: There's no need to set QUICK_CONNECT_MG_HOST as it defaults to localhost, assuming Memgraph is running locally on the host machine.

You can also use the QUICK_CONNECT_MG_PORT environment variable to specify the quick connect port number, e.g. - e QUICK_CONNECT_MG_PORT=7688.

Configuration options

To learn about all the configuration options, check out the configuration settings.

When using Docker, you can specify the configuration options in the docker run command:

docker run memgraph/memgraph --bolt-port=7687 --log-level=TRACE

Install Memgraph Platform image up to version 2.14

Install Docker Desktop

Install Docker Desktop (opens in a new tab) by following the instructions available on their site.

Install and run Memgraph

Open a terminal and use the following command:

docker run -p 7687:7687 -p 7444:7444 -p 3000:3000 --name memgraph memgraph/memgraph-platform

After downloading the image, Memgraph will install and if the installation was successful, you should see a message similar to the following:

C:\Users\Vlasta>docker run -p 7687:7687 -p 7444:7444 -p 3000:3000 --name memgraph memgraph/memgraph-platform
2023-08-29 09:02:59,833 INFO Included extra file "/etc/supervisor/programs/lab.conf" during parsing
2023-08-29 09:02:59,834 INFO Included extra file "/etc/supervisor/programs/memgraph.conf" during parsing
2023-08-29 09:02:59,834 INFO Set uid to user 0 succeeded
2023-08-29 09:02:59,842 INFO supervisord started with pid 1
2023-08-29 09:03:00,845 INFO spawned: 'memgraph' with pid 7
2023-08-29 09:03:00,848 INFO spawned: 'lab' with pid 8
You are running Memgraph v2.10.1
To get started with Memgraph, visit https://memgr.ph/start
[2023-08-29 09:03:01.034] [memgraph_log] [warning] Invalid license key string. To use Enterprise features please set it to a valid string using the following query:
SET DATABASE SETTING "enterprise.license" TO "your-license-key"
[2023-08-29 09:03:01.333] [memgraph_log] [warning] No snapshot or WAL file found. For more details, visit https://memgr.ph/durability.
[2023-08-29 09:03:01.333] [memgraph_log] [warning] Replication configuration will NOT be stored. When the server restarts, replication state will be forgotten.
2023-08-29 09:03:02,334 INFO success: memgraph entered RUNNING state, process has stayed up for > than 1 seconds (startsecs)
2023-08-29 09:03:02,335 INFO success: lab entered RUNNING state, process has stayed up for > than 1 seconds (startsecs)
[2023-08-29 09:03:02.803] INFO: [lab] Lab is running at http://localhost:3000 in platform mode
DGL backend not selected or invalid.  Assuming PyTorch for now.
<frozen importlib._bootstrap>:228: RuntimeWarning: scipy._lib.messagestream.MessageStream size changed, may indicate binary incompatibility. Expected 56 from C header, got 64 from PyObject
[2023-08-29 09:03:09.257] [memgraph_log] [error] Unable to load module "/usr/lib/memgraph/query_modules/libmgclient.so"; /usr/lib/memgraph/query_modules/libmgclient.so: undefined symbol: mgp_init_module. For more details, visit https://memgr.ph/modules.
[2023-08-29 09:03:09.542] [memgraph_log] [error] Unable to load module "/usr/lib/memgraph/query_modules/example_cpp.so"; /usr/lib/x86_64-linux-gnu/libstdc++.so.6: version `GLIBCXX_3.4.29' not found (required by /usr/lib/memgraph/query_modules/example_cpp.so). For more details, visit https://memgr.ph/modules.
[2023-08-29 09:03:09.542] [memgraph_log] [warning] Using non-secure Bolt connection (without SSL). For more details, visit https://memgr.ph/ssl.

Memgraph will start listing the logs, and don't worry about the inital errors and warnings as at this point, they are of informative nature.

Connect to the instance

You can connect to the Memgraph instance using the command-line interface mgconsole by running the following command in a new terminal:

docker run -it  memgraph/mgconsole:latest

When the mgconsole starts, you can query the database:

docker run -it  memgraph/mgconsole:latest
mgconsole 1.4
Connected to 'memgraph://127.0.0.1:7687'
Type :help for shell usage
Quit the shell by typing Ctrl-D(eof) or :quit
memgraph>

You can also connect to Memgraph using the Memgraph Lab web application available within the memgraph-platform Docker image by visiting localhost:3000.

To start using Memgraph in your application, use one of the client libraries and follow their getting started guide.

Running individual tools from Memgraph Platform image

You can run only the Memgraph database instance from the Memgraph Platform image using the following command:

docker run -p 7687:7687 memgraph/memgraph-platform -c /etc/supervisor/supervisord-memgraph-only.conf

You can run only mgconsole from the Memgraph Platform image using the following command in Linux:

docker run -it --entrypoint=mgconsole memgraph/memgraph-platform

You can run only mgconsole application from the Memgraph Platform image using the following command in Windows and macOS:

docker run -it --entrypoint=mgconsole memgraph/memgraph-platform --host host.docker.internal

You can also consider using a standalone mgconsole image as described in the CLI section.

You can run only the Memgraph Lab web application from the Memgraph Platform image using the following command:

docker run -p 3000:3000 memgraph/memgraph-platform -c /etc/supervisor/supervisord-lab-only.conf

Stop and start the instance

You can stop the instance with docker stop memgraph.

You can restart the instance with docker start memgraph

Troubleshooting

Issues with loading Memgraph

docker load -i memgraph.tar.gz

Error during connect:
This error may indicate that the docker daemon is not running.

Run the Docker Desktop application and wait for it to load fully.

Error response from daemon:
open \\.\pipe\docker_engine_linux: The system cannot find the file specified.

Reload the Docker Desktop application and wait for it to load fully.

Unsupported OS Linux

You need to download the Windows Subsystem for Linux (opens in a new tab), and enable experimental features in Docker Desktop, under Settings -> Docker Engine, change experimental to true.

Issues when connecting to Memgraph Platform up to version 2.14

docker run memgraph/memgraph-platform

While this command will start a Memgraph instance, not publishing the port will cause problems when trying to connect to the database via Memgraph Lab or mgconsole. To avoid this, you should publish the container's port to the host using the -p flag and by specifying the port:

docker run -p 7687:7687 -p 7444:7444 -p 3000:3000 memgraph/memgraph-platform

Issues with connecting mgconsole to the database

docker run -it --entrypoint=mgconsole memgraph/memgraph-platform --host HOST

Although unlikely, sometimes there are issues with connecting mgconsole to the Docker Container’s IP address because it is running on a custom IP rather than localhost. This problem is most often accompanied with the following error:

Connection failure: Couldn't connect to 127.0.0.1:7687!

To fix this issue, just replace HOST from the first command with host.docker.internal. To find out more about networking in Docker, take a look at Networking features in Docker Desktop for Windows (opens in a new tab) guide or Mac (opens in a new tab) guide .

Issues with the IP address

Although unlikely, some users might experience minor difficulties after the Docker installation. Instead of running on localhost, a Docker container for Memgraph may be running on a custom IP address. Fortunately, that IP address can be found as follows:

1. Determine the ID of the Memgraph Container by issuing the command docker ps. The user should get an output similar to the following:

CONTAINER ID    IMAGE       COMMAND                  CREATED
9397623cd87e    memgraph    "/usr/lib/memgraph/m…"   2 seconds ago

At this point, it is important to remember the container ID of the Memgraph Image. In our case, that is 9397623cd87e.

2. Use the this ID to retrieve the IP address of the Container:

docker inspect -f '{{range.NetworkSettings.Networks}}{{.IPAddress}}{{end}}' 9397623cd87e

The command above will yield the IP address that should be used when connecting to Memgraph via Memgraph Lab or mgconsole. Just replace HOST from the following command with the appropriate IP address:

docker run -it --entrypoint=mgconsole memgraph/memgraph-platform --host HOST