MongoDB vs. Oracle Autonomous Database

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
MongoDB
Score 8.6 out of 10
N/A
MongoDB (from "humongous") is an open source document-oriented database system developed and supported by 10gen. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster. According to the vendor, organizations from cutting…
$0.10
million reads
Oracle Autonomous Database
Score 8.9 out of 10
N/A
Oracle Autonomous Database provides a self-driving, self-securing, self-repairing cloud service that eliminate the overhead and human errors associated with traditional database administration. Oracle Autonomous Database takes care of configuration, tuning, backup, patching, encryption, scaling, and more.N/A
Pricing
MongoDBOracle Autonomous Database
Editions & Modules
Shared
$0
per month
Serverless
$0.10million reads
million reads
Dedicated
$57
per month
No answers on this topic
Offerings
Pricing Offerings
MongoDBOracle Autonomous Database
Free Trial
YesYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoYes
More Pricing Information
Community Pulse
MongoDBOracle Autonomous Database
Considered Both Products
MongoDB
Oracle Autonomous Database

No answer on this topic

Top Pros
Top Cons
Features
MongoDBOracle Autonomous Database
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
MongoDB
9.1
38 Ratings
Oracle Autonomous Database
-
Ratings
Performance9.138 Ratings00 Ratings
Availability9.538 Ratings00 Ratings
Concurrency8.438 Ratings00 Ratings
Security8.738 Ratings00 Ratings
Scalability9.638 Ratings00 Ratings
Data model flexibility9.038 Ratings00 Ratings
Deployment model flexibility9.237 Ratings00 Ratings
Database Development
Comparison of Database Development features of Product A and Product B
MongoDB
-
Ratings
Oracle Autonomous Database
6.8
24 Ratings
Version control tools00 Ratings6.213 Ratings
Test data generation00 Ratings5.915 Ratings
Performance optimization tools00 Ratings7.624 Ratings
Schema maintenance00 Ratings7.523 Ratings
Database change management00 Ratings7.116 Ratings
Database Administration
Comparison of Database Administration features of Product A and Product B
MongoDB
-
Ratings
Oracle Autonomous Database
7.3
25 Ratings
User management00 Ratings7.024 Ratings
Database security00 Ratings8.324 Ratings
Database status reporting00 Ratings7.425 Ratings
Change management00 Ratings6.317 Ratings
User Ratings
MongoDBOracle Autonomous Database
Likelihood to Recommend
9.3
(78 ratings)
8.9
(56 ratings)
Likelihood to Renew
10.0
(67 ratings)
9.0
(2 ratings)
Usability
9.0
(14 ratings)
8.0
(1 ratings)
Availability
9.0
(2 ratings)
-
(0 ratings)
Support Rating
9.5
(15 ratings)
-
(0 ratings)
Implementation Rating
8.4
(4 ratings)
-
(0 ratings)
User Testimonials
MongoDBOracle Autonomous Database
Likelihood to Recommend
MongoDB
If asked by a colleague I would highly recommend MongoDB. MongoDB provides incredible flexibility and is quick and easy to set up. It also provides extensive documentation which is very useful for someone new to the tool. Though I've used it for years and still referenced the docs often. From my experience and the use cases I've worked on, I'd suggest using it anywhere that needs a fast, efficient storage space for non-relational data. If a relational database is needed then another tool would be more apt.
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Oracle
Pro - Stability. Does everything anyone could need. If it's not there it will be on the next update. There is plenty of support for it. It's been around for a long time and it's reliable. The support is well documented and has a great reputation. Cons - Errors have been found in the documentation provided by Oracle with guidelines, etc. Oracles salespeople have a reputation of being obnoxious and condescending.
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Pros
MongoDB
  • Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
  • You can install a local, database-based environment rather than the non-relational real-time bases such a firebase does not allow, the local environment is paramount since you can work without relying on the internet.
  • Forming collections in Mango is relatively simple, you do not need to know of query to work with it, since it has a simple graphic environment that allows you to manage databases for those who are not experts in console management.
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Oracle
  • Robust - this product doesn't have a lot of downtime. It's less prone to errors than some other tools I've worked with.
  • Scalable - we can keep adding more things to it. We haven't hit any roadblocks when we've tried to do more with our database.
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Cons
MongoDB
  • An aggregate pipeline can be a bit overwhelming as a newcomer.
  • There's still no real concept of joins with references/foreign keys, although the aggregate framework has a feature that is close.
  • Database management/dev ops can still be time-consuming if rolling your own deployments. (Thankfully there are plenty of providers like Compose or even MongoDB's own Atlas that helps take care of the nitty-gritty.
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Oracle
  • There is no access to the physical host of the DB. This is expected from a managed DB. Everything must be done through the console or via API calls. This is a new learning curve for the DBAs.
  • Due to the lack of physical host access, certain features are not supported, such as Transportable tablespaces and Oracle LogMiner.
  • Certain special data types, (such as XMLType) are not allowed; be sure the app vendor certifies their product on this platform.
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Likelihood to Renew
MongoDB
I am looking forward to increasing our SaaS subscriptions such that I get to experience global replica sets, working in reads from secondaries, and what not. Can't wait to be able to exploit some of the power that the "Big Boys" use MongoDB for.
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Oracle
Because it does exactly what we need: it enables us to manage our development and testing database environments in a quick and simple way without requiring support from a database administrators team.
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Usability
MongoDB
NoSQL database systems such as MongoDB lack graphical interfaces by default and therefore to improve usability it is necessary to install third-party applications to see more visually the schemas and stored documents. In addition, these tools also allow us to visualize the commands to be executed for each operation.
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Oracle
The product is continuously evolving and new features are added frequently. Management options through the OCI (Oracle Cloud Infrastructure) console and through the command line and API are being enhanced frequently.
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Support Rating
MongoDB
Finding support from local companies can be difficult. There were times when the local company could not find a solution and we reached a solution by getting support globally. If a good local company is found, it will overcome all your problems with its global support.
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Oracle
No answers on this topic
Implementation Rating
MongoDB
While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.
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Oracle
No answers on this topic
Alternatives Considered
MongoDB
We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your data set grows. For analytics, MongoDB provides a custom map/reduce implementation; Cassandra provides native Hadoop support.
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Oracle
I found Oracle Autonomous Database very secure to store data and private information.I always feel secure with Oracle Autonomous Databases disaster recovery features.It is very effective to build applications for mobile and desktop devices lesser code using a low code development framework namely Oracle Application Express (ApEx).
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Return on Investment
MongoDB
  • Open Source w/ reasonable support costs have a direct, positive impact on the ROI (we moved away from large, monolithic, locked in licensing models)
  • You do have to balance the necessary level of HA & DR with the number of servers required to scale up and scale out. Servers cost money - so DR & HR doesn't come for free (even though it's built into the architecture of MongoDB
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Oracle
  • Oracle Autonomous Database has a wide range of warehouses, which is competent and of high performance.
  • The transactional processing power that Oracle Autonomous Database outlines are completely important and digital.
  • The efficiency of Oracle Autonomous Database data encryption fosters security measures, a form that demands more threat detectors.
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