Overview
Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
Highlights
- * in-memory database * graph streaming and analytics * powerful AI building blocks and capabilites
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64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
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Usage instructions
Connecting to Your Instance
- Prepare Your SSH Client Open your preferred SSH client on your local machine.
- Locate Your Private Key Identify the private key file (<key-name.pem>) you used to launch this instance.
- Set Proper Permissions Ensure your private key file has the correct permissions by running the following command: chmod 400 <key-name.pem>
- Verify Security Group Settings Confirm that your instance is associated with a security group that allows SSH (port 22) access. This can be: From your specific IP address, or Publicly accessible (e.g., 0.0.0.0/32).
- Connect to Your Instance Use the following command to connect to your instance, replacing <key-name.pem> and <IP> with your key file name and the instance's private or public IP address, respectively: ssh -i <key-name.pem> admin@<IP>
Connecting to Memgraph
- Access the Memgraph Console Once connected to the instance via SSH, launch the Memgraph console by running: mgconsole
- Start Querying Memgraph Begin querying and interacting with Memgraph using the mgconsole command-line tool. Note: For additional details or troubleshooting, refer to the Memgraph documentation or your AWS instance settings.
To learn more about Memgraph, please visit https://memgraph.com/docs/getting-started .
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Customer reviews
Excellent product and developer experience!
Also, the developer experience has been incredible: documentation is clear and accessible, and the community (particularly the core team) is active and helpful.