MongoDB Hosting in India

What MongoDB hosting in India means

MongoDB hosting in India is either mongod on a VPS you control or a managed cluster billed hourly. Size RAM to the working set plus indexes, run three nodes for production, bind to localhost or a private IP, and back up with mongodump and snapshots. WebJi® quotes the VPS by email.

There is no shared-hosting MongoDB. The database is a long-running process with its own port, memory profile and disk pattern, so it needs a machine where you can edit mongod.conf and open port 27017 to the right address only.

A team without a database person should price Atlas first. A team with an app already on a VPS usually keeps the database beside it and saves the egress.

Size RAM and disk around the working set

RAM is decided by the working set, not by total data size. The working set is the data and indexes MongoDB reads often enough to keep hot; if it fits in memory, queries avoid disk.

• Add data size and index size, then estimate the hot share. A 20 GB database with 8 GB of indexes and a 60% hot set needs about 17 GB of cache.
• WiredTiger takes roughly half of RAM minus 1 GB for cache by default. For 17 GB of cache, plan on 32 GB of RAM with room for the OS and connections.
• Disk holds data, indexes, the oplog, and snapshots. The oplog can grow large on a write-heavy app, so give it its own size in the plan.
• Leave 30% free disk. A full disk stops writes and can corrupt the stand-in for a clean shutdown.

Check the real numbers instead of guessing: db.serverStatus().wiredTiger.cache shows bytes currently in cache, and db.stats() shows data and index size per database.

Run a three-node replica set

Production MongoDB should be a replica set, even on one machine's worth of budget. Three members give you a majority for elections; two members cannot elect a primary when one is down.

1. Set the name in /etc/mongod.conf: replication: replSetName: rs0, and give each node its own net.bindIp and dbPath.
2. Start mongod on all three, then open a shell on the first and run rs.initiate({_id:"rs0",members:[{_id:0,host:"10.0.0.11:27017",priority:2},{_id:1,host:"10.0.0.12:27017"},{_id:2,host:"10.0.0.13:27017"}]})
3. Wait for rs.status() to show one PRIMARY and two SECONDARY members. The member with priority 2 becomes primary.
4. Point the application at the set, not one IP: mongodb://app:pass@10.0.0.11:27017,10.0.0.12:27017/app?replicaSet=rs0
5. Test a failover by stopping the primary. The app should reconnect to the new primary within the driver's timeout.

A single node is fine for development. Three small nodes on one VPS protect against process failure, not against the machine dying; for that, put the members on separate hosts.

Secure it with auth, bindIp and a firewall

An open MongoDB port is found by scanners within hours. Two controls do most of the work: authentication, and a bind address that is not the public interface.

1. Create the admin user while authorization is still off: mongosh admin --eval 'db.createUser({user:"siteAdmin",pwd:passwordPrompt(),roles:[{role:"root",db:"admin"}]})'
2. Create a per-app user with readWrite on that database only. Never let the app connect as root.
3. Set security.authorization: enabled in mongod.conf and restart.
4. Set net.bindIp: 127.0.0.1,10.0.0.11 so only local and private traffic reach the port. Do not use 0.0.0.0.
5. Allow the app subnet only: ufw allow from 10.0.0.0/24 to any port 27017 proto tcp, then ufw reload.

You know it worked when ss -lntp | grep 27017 shows the private address, and a connection attempt from outside times out instead of prompting for a password.

Back up with mongodump and snapshots

A replica set is not a backup. Deleting the wrong collection replicates to every member in seconds, so keep a copy that the database cannot reach.

1. Dump nightly with compression: mongodump --uri="mongodb://siteAdmin@10.0.0.11:27017/?authSource=admin" --gzip --archive=/backup/app-$(date +%F).gz
2. Add --oplog when you need point-in-time recovery on a replica set. It captures writes during the dump.
3. Keep a provider disk snapshot as well, so a full restore does not depend on replaying a dump.
4. Restore into a scratch instance once a month: mongorestore --gzip --archive=/backup/app-2026-10-01.gz --nsInclude='app.*'

Three copies, two media, one off the server is the habit. WebJi® server backup solutions start at ₹1,300 a month for the Backup.Help app with 200 GB, before 18% GST, if you want the copy kept off the VPS.

What WebJi hosts and how the quote works

WebJi® runs MongoDB on Linux VPS and cloud instances. The database is installed on the machine you rent; it is not a shared database service, and there is no per-cluster Atlas-style console.

Pricing depends on RAM, disk and how many replica members you want, so it is quoted by email before payment. Email support@webji.services with the data size, index size, expected write rate and whether you need two or three nodes. Support is 24/7 by email in Hindi and English, average first reply under 60 minutes, and the office phone is not a support line.

For a starting point, Cloud Entry gives 2 vCPU, 8 GB RAM and 100 GB for ₹5,900 a month before 18% GST, and Linux VPS plans are the other common base. An existing database can be moved as part of the setup, with the scope confirmed by email.

Atlas pricing compared with a WebJi VPS

Atlas is priced in USD per hour and includes the operations you would otherwise do yourself. The figures below were read on 29 October 2026 and are not a like-for-like spec match with a VPS.

The free tier is for learning, not production: 512 MB with shared CPU will not hold a working set. Past that, the honest comparison is Atlas M30 against a 32 GB VPS, because both can hold a mid-size working set. Atlas wins on operations, the VPS wins on INR billing and control. The MySQL vs MongoDB comparison covers the database choice itself, and VPS hosting lists the base plans.