MongoDB vs. Oracle Database

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
MongoDB
Score 8.2 out of 10
N/A
MongoDB is an open source document-oriented database system. 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.
$0.10
million reads
Oracle Database
Score 7.7 out of 10
N/A
Oracle Database, currently in edition 23c, offers native support for property graph data structures and graph queries. If you're looking for flexibility to build graphs in conjunction with transactional data, JSON, Spatial, and other data types, we got you covered. Developers can now easily build graph applications with SQL using existing SQL development tools and frameworks.N/A
Pricing
MongoDBOracle 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 Database
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsFully managed, global cloud database on AWS, Azure, and GCP
More Pricing Information
Community Pulse
MongoDBOracle Database
Considered Both Products
MongoDB
Chose MongoDB
MongoDB is the most reliable and fastest for storing document-based data. It has a place among the most popular DB's these days.
Chose MongoDB
Relational DB are not efficient when storing data structure like JSON. Different data structure can be stored without defining the schema. Most relational db might store data like Json as blobs. One single entry would store the entire JSON as blob and you can't query the …
Chose MongoDB
We chose MongoDB because it fit our specific use cases better than the other two NoSQL products that I've identified. There are some use cases where those products would be better. Be sure to use the right tool for the job, for us, it was MongoDB, for you it might not be.
Oracle Database
Chose Oracle Database
I have selected Oracle database from other databases as this database is relational database which stored the data in structural and tabular format which is better than any other databases which I have used in my carrier. Also MongoDB is no SQL database where we can use SQL …
Chose Oracle Database
Exadata is expensive and we decided to switch to 12c for the sake of consolidating and keep up with Oracles initiative to move towards cloud. Maybe in the future.
Chose Oracle Database
Oracle 12c is good for all business applications but still consider Microsoft SQLServer for internal/other applications to save on cost.
Chose Oracle Database
Oracle is serving a different segment with respect to those above. Till now, we have stuck with Oracle and continued to support our internal customers. Other DBs are serving a few targeted applications by a few application teams.
Chose Oracle Database
We currently use all of the above database technologies in different applications, but where the application is mission-critical we use Oracle. Microsoft SQL Server is good for canned applications such as back-office or HR. MySQL does not have the same level of logging or …
Chose Oracle Database
Oracle 12c is able to support daily operations that might be required. Of course, Exadata is a powerful machine that is definitely fit for big scale but requires high demand of both CPU, IO, and memory processing. Also the one engineered system saves lots of time to build the …
Top Pros
Top Cons
Features
MongoDBOracle Database
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
MongoDB
9.1
38 Ratings
4% above category average
Oracle Database
-
Ratings
Performance9.038 Ratings00 Ratings
Availability9.738 Ratings00 Ratings
Concurrency8.638 Ratings00 Ratings
Security8.638 Ratings00 Ratings
Scalability9.438 Ratings00 Ratings
Data model flexibility9.138 Ratings00 Ratings
Deployment model flexibility9.137 Ratings00 Ratings
Best Alternatives
MongoDBOracle Database
Small Businesses
IBM Cloudant
IBM Cloudant
Score 7.8 out of 10
Google Cloud SQL
Google Cloud SQL
Score 8.8 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 7.8 out of 10
Snowflake
Snowflake
Score 8.9 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 7.8 out of 10
SAP IQ
SAP IQ
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
MongoDBOracle Database
Likelihood to Recommend
9.4
(78 ratings)
9.0
(178 ratings)
Likelihood to Renew
10.0
(67 ratings)
9.0
(6 ratings)
Usability
9.0
(14 ratings)
7.4
(5 ratings)
Availability
9.0
(1 ratings)
-
(0 ratings)
Support Rating
9.6
(13 ratings)
10.0
(4 ratings)
Implementation Rating
8.4
(2 ratings)
9.6
(3 ratings)
User Testimonials
MongoDBOracle 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
I believe Oracle Database is still the best RDBMS database which is the database to consider for OLTP applications and for Adhoc requests. They are good in Datawarehousing in certain aspects but not the best. Oracle is also a great database for scaling up with their Clusterware solution which also makes the database highly available with services moving to the live instance without much trouble.
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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
  • Best thing about it is that it supports PL/SQL which is helpful in writing complex quarries easily.
  • Its storage capacity , backup and recovery features make it the best database storage tool available.
  • Other thing I like about this software is its interface is so good.
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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
  • The memory demand and management makes it impossible to run it in a container.
  • It is hard to perform local unit testing with Oracle even using the personal edition (aggressive all the available memory grab for itself).
  • Lack of built in database migrations (e.g. as Flyway).
  • The need to install the Oracle client in addition to its drivers.
  • The cost of running it, especially in the Cloud.
  • Comes with very spartan community grade client/management tools whereas the commercial offerings tend to demand a premium price.
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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
There is a lot of sunk cost in a product like Oracle 12c. It is doing a great job, it would not provide us much benefit to switch to another product even if it did the same thing due to the work involved in making such a switch. It would not be cost effective.
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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
Many of the powerful options can be auto-configured but there are still many things to take into account at the moment of installing and configuring an Oracle Database, compared with SQL Server or other databases. At the same time, that extra complexity allows for detailed configuration and guarantees performance, scalability, availability and security.
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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
1. I have very good experience with Oracle Database support team. Oracle support team has pool of talented Oracle Analyst resources in different regions. To name a few regions - EMEA, Asia, USA(EST, MST, PST), Australia. Their support staffs are very supportive, well trained, and customer focused. Whenever I open Oracle Sev1 SR(service request), I always get prompt update on my case timely. 2. Oracle has zoom call and chat session option linked to Oracle SR. Whenever you are in Oracle portal - you can chat with the Oracle Analyst who is working on your case. You can request for Oracle zoom call thru which you can share the your problem server screen in no time. This is very nice as it saves lot of time and energy in case you have to follow up with oracle support for your case. 3.Oracle has excellent knowledge base in which all the customer databases critical problems and their solutions are well documented. It is very easy to follow without consulting to support team at first.
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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
Overall the implementation went very well and after that everything came out as expected - in terms of performance and scalability. People should always install and upgrade a stable version for production with the latest patch set updates, test properly as much as possible, and should have a backup plan if anything unexpected happens
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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
Oracle is more of an enterprise-level database than Access and SAP Adaptive Server Enterprise isn't getting developed much (some people wonder how close it is to end of life) but SQL Server is miles ahead of Oracle IMO in terms of user experience and comparable in terms of performance AFAIK. As stated, a vendor forced our hand to use Oracle so we did not have a choice. If you are looking for help with an issue you are having, there are lots of SQL Server articles, etc. on the web and the community of SQL Server developers and DBA's is very strong and supportive. Oracle's help on the web is much more limited and often has an attitude that goes with it of superiority and lacking in compassion, IMO. For instance, check out the Ask Tom Oracle blog - a world of difference. If you choose Oracle, go into it with eyes wide open.
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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 Database 12c has had a very positive impact on our ability to build strong and robust custom applications in house without the need to come up with our own methods of data storage and management.
  • Oracle Database 12c has the strongest user interface of any database I have worked with and continuously is improving its strength with the addition of support for JSON and XML type objects in the database.
  • Oracle Database 12c is sometimes very heavy and DBA intensive, but the benefits far outweigh the costs, which we need to spend on DBA support for enabling security and access features.
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ScreenShots

MongoDB Screenshots

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