Getting Enterprise Features to Your MongoDB Community Edition
Getting Enterprise Features to Your MongoDB Community Edition
Read this article in order to learn more about how to get enterprise features to your MongoDB Community Edition.
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Many of us need MongoDB Enterprise Edition but might be short of resources or would like to compare the value.
I have summarized several key features of MongoDB Enterprise Edition and their alternatives:
- MongoDB Cloud Manager: Performance monitoring ($500/yr/machine) => $1000-1500
- Datadog/NewRelic => $120-$180/yr per machine, Datadog is better for this case
- DYI using tools such as mongotop, mongostat, Mtools and integrate with grapha and others
Replication is recommended and is part of the community edition:
Replica set => min 3 nodes, at least 2 data nodes in 3 data centers (2 major DC and one small).
There are 3 major options (that can be combined of course):
- fsync to MongoDB and physical backup:
- Fast backup/restore
- Might be inconsistent/unreliable
- Logical backup: based on mongodump
- Can be done w/ $2.5/GB using the cloud manager w/ Point in time recovery
- Can be done w/ Percona hot backup
- Incremental is supported
- Have a delayed node
The first two may be done using a 3rd data node in hidden for backup (high frequency backup) that enable
- Disk-based encryption => data at rest (can be done in AWS and several storage providers)
- eCryptFS => Percona => data at Rest
- Encryption based application by the programmers in the class level before saving to disk.
Using Percona edition is a good alternative that may close many of your enterprise needs.
It is well supported with MongoDB BI Connector in the enterprise edition but can be done also with:
- Some BI tool supports MongoDB natively
- 3rd party provider for JDBC connector: such as Simba and https://www.progress.com/jdbc/mongodb
Getting your MongoDB Community Edition to meet Enterprise requirements is not simple, but with the right effort, it can be done.
Learn how to scale enterprise applications easily, efficiently, and reliably with NoSQL. See why Couchbase beats MongoDB™ for scale-out and high availability.
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