MongoDB Atlas vs. Percona Kubernetes Operators

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
MongoDB Atlas
Score 8.7 out of 10
N/A
MongoDB Atlas is the company's automated managed cloud service, supplying automated deployment, provisioning and patching, and other features supporting database monitoring and optimization.
$57
per month
Percona Kubernetes Operators
Score 9.1 out of 10
N/A
The Percona Kubernetes Operator for Percona XtraDB Cluster or Percona Server for MongoDB automates the creation, alteration, or deletion of members in a Percona XtraDB Cluster or Percona Server for MongoDB environment. It can be used to instantiate a new Percona XtraDB Cluster or Percona Server for MongoDB replica set, or to scale an existing environment. The Operator contains all necessary Kubernetes settings to provide a proper and consistent Percona XtraDB Cluster or Percona Server for…N/A
Pricing
MongoDB AtlasPercona Kubernetes Operators
Editions & Modules
Dedicated Clusters
$57
per month
Dedicated Multi-Reigon Clusters
$95
per month
Shared Clusters
Free
No answers on this topic
Offerings
Pricing Offerings
MongoDB AtlasPercona Kubernetes Operators
Free Trial
NoYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoYes
More Pricing Information
Community Pulse
MongoDB AtlasPercona Kubernetes Operators
Top Pros
Top Cons
Features
MongoDB AtlasPercona Kubernetes Operators
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
MongoDB Atlas
9.5
4 Ratings
Percona Kubernetes Operators
-
Ratings
Automatic software patching9.04 Ratings00 Ratings
Database scalability9.04 Ratings00 Ratings
Automated backups10.04 Ratings00 Ratings
Database security provisions10.04 Ratings00 Ratings
Monitoring and metrics9.04 Ratings00 Ratings
Automatic host deployment10.04 Ratings00 Ratings
User Ratings
MongoDB AtlasPercona Kubernetes Operators
Likelihood to Recommend
10.0
(4 ratings)
9.1
(1 ratings)
Usability
-
(0 ratings)
8.2
(1 ratings)
Support Rating
10.0
(4 ratings)
8.2
(1 ratings)
User Testimonials
MongoDB AtlasPercona Kubernetes Operators
Likelihood to Recommend
MongoDB
It is suitable for database administrative operations that require a high level of speed, since by not working with conventional SQL it is possible to create data records faster, and therefore better manage work time. It is not necessary to create backend connections for the databases, since these backends of different web pages and applications automatically centralize the development data in a single place, which is useful when managing many services in parallel. It is much easier and faster to get a specific document based on special characteristics of your data, through the filtering system of MongoDB Atlas, since it manages large numbers of servers, and has a high capacity of data mimicry. The cluster shows a history of all the operations that have been performed during the day, so that it is easy to make job regressions in case you need to identify an error that occurred at some point during the day. All data from the MongoDB web application is automatically stored in the Atlas cloud.
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Percona
Production ready, robust DB solution built for Kubernetes envs, we was able, for the first time, to ship production db workloads inside k8s. Be sure to check differences with "traditional" MySQL and other clustering solutions. Also be sure to match it with proper k8s storage solutions.
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Pros
MongoDB
  • No infrastructure on our side. Free of management.
  • Easy to scale up and down.
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Percona
  • Easy and fast deployment.
  • A reliable, fully automated, high-available db lifecycle management solution.
  • Exaustive documentation.
  • Production ready.
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Cons
MongoDB
  • Live Migration Service.
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Percona
  • Some differences compared to "traditional" MySQL solution.
  • Had some hard times trying to use it combined with pre-existing techs like WordPress, Magento, etc.
  • The specific k8s environment features can have an impact on it, like the storage solutions offered by the cloud vendor.
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Usability
MongoDB
No answers on this topic
Percona
Easy and fast deployment. A reliable, fully automated, high-available db lifecycle management solution. It requires a bit of learning time for people new to operators ecosystem.
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Support Rating
MongoDB
We love MongoDB support and have great relationship with them. When we decided to go with MongoDB Atlas, they sent a team of 5 to our company to discuss the process of setting up a Mongo cluster and walked us through. when we have questions, we create a ticket and they will respond very quickly
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Percona
Well documented, there was no need to contact support.
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Alternatives Considered
MongoDB
When choosing a NoSQL, open source database, MongoDB is the clear winner from an implementation standpoint. For databases that are better suited for highly-organized data, a traditional database engine like MySQL, PostgreSQL, or Oracle's RDBMS may be a better choice. When the requirement is for a NoSQL production database, MongoDB and Atlas are the clear winners from an implementation and management perspective and is very cost-competitive with offerings from Azure Cosmos and Amazon Document DB.
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Percona
For a long time we struggled finding a viable solution to migrate our existing db workloads inside Kubernetes. Before "operators era" proper db workloads required manual management, of course that easily raised administrative overhead. Then the future started to be brighter with the introduction of operators and the "official" Oracle's MySQL Operator, then Presslab's one, finally Percona's operator. Compared to other operators, the last one allowed us to ship production db workloads inside k8s.
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Return on Investment
MongoDB
  • Since we can cover a much more exhaustive database management with MongoDB Atlas, we can say that we have partly increased our profit intake in relation to the time we have been using the software.
  • MongoDB Atlas has improved our earnings by 400%, which leaves our current ROI at a percentage of 5, having achieved our first 200% in the first half year of using the software.
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Percona
  • It allowed us to use k8s on our entire infrastructure.
  • Decreased administrative overhead around our db services.
  • As it is an open source technology, it cut down our db pricings.
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