Do you know whether Mongo Atlas supports mongo in-memory storage or not?
If so, do we need to purchase Mongo DB enterprise edition license for enabling it or is it coming as part of Atlas itself?
As of today, MongoDB Atlas does not support in-memory storage engine. MongoDB Atlas only supports MongoDB versions 3.4, 3.6, and 4.0 with the WiredTiger storage engine.
However, you can utilise MongoDB Cloud Manager with In-Memory storage engine. As it offers more granular control, exposing numerous MongoDB configuration options such as the storage engine, startup parameters, and access control options. Cloud Manager also provides the ability to manage MongoDB on the infrastructure of your choice.
MongoDB Cloud Manager is better suited for advanced operations users who require this higher level of control, but Cloud Manager requires users to manage the full lifecycle of their infrastructure.
Please note that MongoDB In-Memory Storage Engine is part of the MongoDB enterprise edition offerings.
Related
I have a project which has the following characteristics:
Local MongoDB replica set on an on-premise database
Cloud MongoDB instance in MongoDB atlas
On-premise MongoDB should keep in sync with MongoDB atlas
Local MongoDB instance may be offline several days
Once its online, it should start synchronizing with MongoDB atlas
Basically, I'm looking for something similar to Realm, except that this solution runs on an actual local server and not a mobile device.
I have looked into live migrations, see here. But this doesn't seem to fit this use-case entirely, as its intended for an eventual cutover, which I don't want.
Therefore, how can I achieve the following with MongoDB atlas? What am I missing?
Can I treat MongoDB atlas, as if its a part of my local replica set, and use the standard replication capability of MongoDB? I.e. Atlas will always be a secondary.
This functionality with native MongoDB Atlas not possible. You need to look for customised solution.
I am planning to implement a mongoDB storage backend for JanusGraph. The reason for picking MongoDB is mainly because all of our existing infrastructure and services use MongoDB, so it would be less net new maintenance requirement. Where do I get started? Is there a list of APIs that JanusGraph provides that need to be implemented by a custom backend? I couldn't find any documentation.
As of now Janusgraph supports only limited number of storage-backends as of now (Cassandra, HBase, BigTable, Berkeley). You can find more info here https://docs.janusgraph.org/storage-backend/.
Is it possible, and if so how, to use an Azure MongoDB as the backend for my Meteor Application.
I have added the connection string from my database into the MONGO_URL variable with no success. I have found some previous threads over Stack Overflow and on here about incompatibility related to oplog errors, but they seem to be using DocumentDB instead of Azure's MongoDB (which I think is newer than a few years ago).
In your example, you're actually using DocumentDB with MongoDB compatibility. You're not using native MongoDB (nor is this native MongoDB as-a-service).
DocumentDB (even with MongoDB compat) does not provide an oplog. And since Meteor has a dependency on reading the oplog, you wouldn't be able to point Meteor at DocumentDB.
In your case, you'd need to either run native MongoDB on your own (e.g. in VMs) or take advantage of a 3rd-party MongoDB hosting solution which provides MongoDB support within the same region as your app. (ok, yes, you can run your app in a different region, but you'd see latency along with data egress charges).
can anyone please give me a high level difference between MongoDB Cloud Manager and Mongodb Atlas. My main aim is to monitor mongodb instances in AWS.
Thanks.
Cloud Manager is used when you want to manage your own infrastructure (you spin up the nodes where MongoDB runs) but still have the benefits of automated backups and monitoring.
Atlas goes one step further by automating everything for you including provisioning the infrastructure. It's a true database as a service fully managed by MongoDB. They hide the complexity of managing servers so all you have to worry about it using MongoDB. It's interesting to note they use AWS (with plans to support Azure and Google) to spin up nodes, perform monitoring, and backups.
The Major difference between Atlas and Cloud manager is that :
Cloud manager is used for monitoring your database deployment and providing the automated back ups in the self hosted environment.
While MongoDB Atlas is used when your deployments are hosted on the MongoDB Servers. So each and ever task is managed by the MongoDB staff. This is basically the database as a service. In case you encounter any issue all you need to open a case with the mongodb and they will help in the investigations of the issue occurred.
Here is an up-to-date answer to this question which explains differences between Atlas, Cloud Manager and also the Ops-Manager:
MongoDB Atlas handles all the complexity of deploying, managing, and healing your deployments on the cloud service provider of your choice (AWS, Azure, and GCP). Atlas pricing details are here 4.
Cloud Manager is a platform for managing MongoDB on the infrastructure of your choice. Cloud Manager pricing details are here 7.
Ops Manager automate, monitor, and back up your MongoDB infrastructure.
Here is the original article and additional resources in the MongoDB community forum: https://www.mongodb.com/community/forums/t/cloud-manager-vs-ops-manager-vs-atlas/42624
According to a few articles I've read (e.g. here and here), MariaDB supports connection, command and querying of external data sources using the CONNECT Storage Engine.
Specifically, I'd like to test with MongoDB. Is there a connector that I can download and documention specific to MongoDB? My Google searches so far have come up short.