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Yes. MongoDB and MySQL can run on one Linux server because their documented default TCP listeners are different: MongoDB uses port 27017 and MySQL uses port 3306. The limiting factors are shared CPU, memory, storage capacity, disk latency, security configuration, and backup load—not an inherent database conflict.
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Why MongoDB and MySQL do not inherently conflict
MongoDB and MySQL are separate database server processes. Each has its own executable, configuration, data files, logs, users and service definition. A Linux host can run both at the same time as long as the operating system can schedule them and each process has a unique listening address and port.
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| Database | Typical service process | Documented default TCP port | Verification source |
|---|---|---|---|
| MongoDB Community Edition | mongod |
27017 | MongoDB Ubuntu installation guide and MongoDB Red Hat or CentOS installation guide |
| MySQL | MySQL server service, commonly named mysql or mysqld by the distribution |
3306 | MySQL Server Startup Script documentation |
Because 27017 and 3306 are different ports, the default installations do not try to bind the same socket. A conflict appears only when another process already owns a selected port, when an administrator changes one database to the other database’s port, or when a service is configured to bind an address that is unavailable.
What actually determines whether co-location is safe
Running both services is technically feasible, but feasibility is not the same as good production performance. The two databases compete for the same physical resources, and the combined workload determines whether that competition is acceptable.
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Memory demand
There is no universal RAM minimum, benchmark result or safe database-size threshold published in the cited MongoDB and MySQL installation material for running both products together. Memory requirements depend on data size, indexes, connection counts, cache settings, query patterns and concurrent workload.
Measure the host during realistic peak activity rather than sizing from a database name alone. Sustained swap use, frequent out-of-memory events, or cache eviction that causes latency spikes indicates that the host is overcommitted. Leave operating-system memory available for filesystem caching and service overhead instead of assigning every byte to database processes.
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MongoDB queries, MySQL queries, compaction, index builds, replication work and backups can all consume CPU. A host that is comfortable when each database is tested alone may saturate when both reach their peaks together. Compare normal utilization with the busiest application periods and with maintenance windows, not only with an idle service check.
Storage capacity and I/O latency
Both databases need room for data, indexes, temporary files, journals or redo information, logs and backups. Capacity planning must include growth and the temporary space required by imports, index creation and restore operations. More importantly, both services issue storage requests at the same time. High disk latency can make otherwise modest CPU workloads feel slow.
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Failure-domain and maintenance impact
One host is one failure domain. A kernel failure, storage failure, maintenance reboot or exhausted filesystem can interrupt both databases simultaneously. A backup, restore or heavy index operation can also affect the other service while it runs. If either workload is latency-sensitive or either database regularly exhausts host resources, separate the services onto different virtual machines or physical servers.
How to install both databases on a supported Linux distribution
Use the vendor-supported package path for the exact Linux distribution and release. MongoDB’s v8.0 documentation lists supported Ubuntu LTS and Red Hat-family distributions and architectures; support is release-specific, so check the current guide before installing.
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- Record the operating-system release and architecture. Confirm that the release is supported by the MongoDB version you intend to deploy and that the MySQL package source supports the same system.
- Install MongoDB from MongoDB’s official repository or package instructions. The Ubuntu guide and Red Hat or CentOS guide describe the maintained
mongodb-orgpackage and the distribution-specific setup. - Install MySQL from the vendor-supported repository or package path for your distribution. Do not copy package names or repository settings from a different Linux release.
- Start and enable each service. Recent Linux systems commonly use systemd. MongoDB documents management through the
systemctlorservicecommands. The MySQL documentation describes its startup script and systemd integration. On a systemd host, the MongoDB unit is commonlymongod; the MySQL unit may bemysqlormysqld, depending on the package. - Check service health before connecting applications. Examples are
sudo systemctl status mongodand the corresponding MySQL unit command. If your distribution uses an init script instead, use the service manager supplied by that package. - Verify that each listener is present. Run
ss -ltnp | grep -E '27017|3306'and confirm that the expected process owns each port. Connect locally to MongoDB withmongoshon port 27017, as described in MongoDB’s documentation, and test MySQL through its local client on port 3306.
Do not assume that a package installation succeeded merely because a command returned without an obvious error. Check the service state, the configured port and the service log. MongoDB’s guides specifically direct administrators to inspect the log for the configured port; the equivalent MySQL log location depends on the package and distribution.
Configure listeners, firewall rules and access boundaries
Listening on different ports prevents a basic collision, but it does not make a database secure. Decide which applications need access and bind each service accordingly.
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Same-host applications
If the application and database are on the same server, prefer loopback or another explicitly private interface. This keeps database traffic off external interfaces and reduces the number of firewall paths you must maintain.
Applications on another private network
If a separate application server must connect, bind the database to the required private interface and allow TCP 27017 or 3306 only from the application’s network or host. A private address is not a substitute for authentication, authorization and encrypted transport where those controls are required by your environment.
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Do not expose either database port to the public internet unless there is a specific, reviewed requirement and compensating controls. Restrict firewall rules to known source addresses, keep credentials separate for each database, and remove rules that are no longer needed.
Custom ports
Changing a port is optional, not a prerequisite for co-location. If you change one, update the database configuration, client connection strings, firewall rules, monitoring and documentation together. Confirm that the new port is not already in use; uniqueness matters more than the particular number.
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Keep files, identities and operations separate
Use separate data directories and separate log files for MongoDB and MySQL. Package defaults normally provide this separation, but verify the effective paths in each service’s configuration before moving data. Never point both services at the same directory or reuse a database’s files in the other product.
- Create and manage MongoDB and MySQL accounts independently. A credential intended for one server does not grant access to the other.
- Give each service ownership of only its own data and log paths. Incorrect ownership or permissions can prevent a service from starting after a migration.
- Schedule backup jobs so they do not saturate the same disk or CPU at the same time as peak application traffic.
- Store backups on separate capacity or a separate system when possible. A backup on the same failed filesystem is not an independent recovery copy.
- Test restoration for both products. A successful backup file is not proof that the corresponding database can be recovered within your required window.
How to decide between one server and separate servers
Use the following decision axes instead of relying on a fixed RAM number. The right answer changes when workload peaks, recovery requirements or security boundaries change.
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|---|---|---|
| Cost and administration | Simpler and generally cheaper because there is one host to patch, monitor and provision. | Higher infrastructure and administration overhead. |
| Performance isolation | MongoDB and MySQL share CPU, memory and storage I/O; peaks can interfere with one another. | Stronger isolation from noisy-neighbor effects and independent resource sizing. |
| Failure domain | A host, kernel or storage failure can interrupt both databases. | A failure on one host does not inherently stop the other database. |
| Backup and restore windows | Backups and restores compete with both production workloads on the same system. | More flexibility to schedule and resource backups independently. |
| Security boundaries | Fewer machines to secure, but both services share the host boundary. | Stronger separation when different teams, trust levels or exposure requirements apply. |
| Operational simplicity | Fewer operating-system instances and network paths. | More moving parts, but independent maintenance and scaling. |
Choose one host when the combined workload has measured headroom, the common failure domain is acceptable, and the simpler operating model matters. Choose separate hosts when either database is business-critical, has unpredictable peaks, needs independent maintenance, or regularly pushes the shared host toward memory, CPU or storage limits.
Troubleshooting common co-location problems
“Address already in use” during startup
Inspect listening sockets with ss -ltnp and identify the process holding the configured port. Check both database configuration files for accidental reuse of 27017 or 3306, then either stop the unrelated process or assign a unique port and update every client and firewall rule.
One service starts and the other immediately stops
Read the failing service’s log and check its systemd status output. Common categories include an unsupported distribution package, a missing or inaccessible data directory, incorrect ownership, an invalid configuration value or a port already occupied by another process. Correct the underlying error before repeatedly restarting the service.
Connections work locally but fail remotely
Check the configured bind interface first, then inspect host firewall rules and any network firewall between client and server. A service bound only to loopback will intentionally reject remote connections. If remote access is required, bind to the intended private interface and allow only the necessary source addresses.
Both databases become slow during backups or maintenance
Correlate the slowdown with disk latency, CPU utilization, memory pressure and backup activity. Move backup work to a quieter window, limit concurrent maintenance, or separate the services when the shared storage path cannot provide predictable latency.
The host runs out of memory
Confirm whether the event is a transient workload spike or a sustained sizing problem. Reduce unnecessary concurrency, review cache and connection settings using each product’s documentation, and add memory only after measuring the peak requirement. If the host still cannot maintain headroom, move one database to another server or virtual machine.
A practical go/no-go checklist
- The Linux distribution and architecture are supported by the selected MongoDB and MySQL releases.
- MongoDB and MySQL have distinct service definitions, data directories, log paths and credentials.
- Port 27017 is assigned to MongoDB and port 3306 to MySQL, or documented custom ports are unique.
- Listeners bind only to loopback or required private interfaces, and firewall rules name the permitted sources.
- Peak CPU, memory, disk capacity and disk latency have been measured with both workloads active.
- Backups for both databases are scheduled, stored appropriately and tested through restoration.
- The team accepts that one host is one failure domain and has a recovery plan for a host outage.
MongoDB and MySQL can therefore share a Linux server without a built-in port conflict. The installation is straightforward when each product uses its supported packages and service manager; the production decision should be based on measured combined workload, security boundaries and recovery requirements.
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