Db2 vs. MongoDB

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Db2
Score 8.5 out of 10
N/A
DB2 is a family of relational database software solutions offered by IBM. It includes standard Db2 and Db2 Warehouse editions, either deployable on-cloud, or on-premise.
$0
MongoDB
Score 8.5 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
per month
Pricing
Db2MongoDB
Editions & Modules
Db2 on Cloud Lite
$0
Db2 on Cloud Standard
$99
per month
Db2 Warehouse on Cloud Flex One
$898
per month
Db2 on Cloud Enterprise
$946
per month
Db2 Warehouse on Cloud Flex for AWS
2,957
per month
Db2 Warehouse on Cloud Flex
$3,451
per month
Db2 Warehouse on Cloud Flex Performance
13,651
per month
Db2 Warehouse on Cloud Flex Performance for AWS
13,651
per month
Db2 Standard Edition
Contact Sales
Db2 Advanced Edition
Contact Sales
Shared
$0
per month
Serverless
$0.10million reads
million reads
Dedicated
$57
per month
Offerings
Pricing Offerings
Db2MongoDB
Free Trial
YesYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsFully managed, global cloud database on AWS, Azure, and GCP
More Pricing Information
Community Pulse
Db2MongoDB
Features
Db2MongoDB
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Db2
-
Ratings
MongoDB
10.0
Ratings
12% above category average
Performance00 Ratings10.00 Ratings
Availability00 Ratings10.00 Ratings
Concurrency00 Ratings10.00 Ratings
Security00 Ratings10.00 Ratings
Scalability00 Ratings10.00 Ratings
Data model flexibility00 Ratings10.00 Ratings
Deployment model flexibility00 Ratings10.00 Ratings
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Db2MongoDB
Small Businesses
InterSystems IRIS
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Score 7.7 out of 10
IBM Cloudant
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Score 7.4 out of 10
Medium-sized Companies
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Score 7.7 out of 10
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Score 7.4 out of 10
Enterprises
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Score 10.0 out of 10
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Score 7.4 out of 10
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User Ratings
Db2MongoDB
Likelihood to Recommend
8.4
(0 ratings)
10.0
(0 ratings)
Likelihood to Renew
7.9
(0 ratings)
10.0
(0 ratings)
Usability
9.5
(0 ratings)
10.0
(0 ratings)
Availability
9.3
(0 ratings)
9.0
(0 ratings)
Performance
9.1
(0 ratings)
-
(0 ratings)
Support Rating
8.9
(0 ratings)
9.6
(0 ratings)
In-Person Training
8.2
(0 ratings)
-
(0 ratings)
Implementation Rating
5.6
(0 ratings)
8.4
(0 ratings)
Configurability
9.1
(0 ratings)
-
(0 ratings)
Ease of integration
9.0
(0 ratings)
-
(0 ratings)
Product Scalability
8.4
(0 ratings)
-
(0 ratings)
Vendor post-sale
9.0
(0 ratings)
-
(0 ratings)
Vendor pre-sale
9.0
(0 ratings)
-
(0 ratings)
User Testimonials
Db2MongoDB
Likelihood to Recommend
I have primarily used it as the basis for a SIS - but I have migrated more than a few systems from there database systems to DB2 (Filemaker, MySQL, etc.). DB2 does have a better structural approach, as opposed to Filemaker, which allows for more data consistency, but this can also lead to an inflexibility that can sometimes be counterintuitive when attempting to compensate for the flexibility of the work environment as Schools tend to have an all in one approach.
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MongoDB [is] great at storing JSON data grouped into "collections". In this format, you can store any JSON documents and conveniently categorize them by collections. The JSON document contained in MongoDB is called binary JSON or BSON and, like any other document in this format, is unstructured. Therefore, unlike traditional DBMS, any kind of data can be stored in collections, and this flexibility is combined with the horizontal scalability of the database. It should be noted that MongoDB does not have links between documents and “collections” (this is partially compensated by the Database Reference - links in the DBMS, but this does not completely solve the problem). As a result, a situation arises in which there is a certain set of data that is not related to other information in the database, and there is no way to combine data from different documents. In SQL systems, this would be an elementary task.
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Pros
  • DB2 maintains itself very well. The Task Scheduler component of DB2 allows for statistics gathering and reorganization of indexes and tables without user interaction or without specific knowledge of cron or Windows Task Scheduler / Scheduled jobs.
  • Its use of ASYNC, NEARSYNC, and SYNC HADR (High Availability Disaster Recovery ) models gives you a range of options for maintaining a very high uptime ratio. Failover from PRIMARY to SECONDARY becomes very easy with just a single command or windowed mouse click.
  • Task Scheduler ( DB2 9.7 and earlier ) allows for jobs to be run within other jobs, and exit and error codes can define what other jobs are run. This allows for ease of maintenance without third party softwares.
  • Tablespace usage and automatic storage help keep your data segmented while at rest, making partitioning easier.
  • Ability to run commands via CLI (Command Line Interface) or via Control Center / Data Studio ( DB2 10.x+) makes administration a breeze.
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  • Easy to learn. When I picked up MongoDB for the first time, I had little background in database management or modeling. If you have a background in javascript (and JSON)... then you can figure out how to use MongoDB pretty fast.
  • Fast performance.
  • It's relatively easy to set up in certain environments because there are lots of ready-made solutions out there.
  • There's a lot of support in the existing ecosystem for it —, especially in the node.js realm.
  • Query syntax is pretty simple to grasp and utilize.
  • Aggregate functions are powerful.
  • Scaling options.
  • Documentation is quite good and versioned for each release.
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Cons
  • everything about Db2 is 'heavy', even the Community edition and some of the clients
  • difficult to configure for beginners /option overload
  • LUW and z platforms have minor inconsistencies that really should be a non-issue
  • support seems to be declining in terms of quality/quickness of responses
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  • I love the idea of Map-Reduce native support in MongoDB. Admittedly I have not used it as much as I would like -- it always seems to trip me up.
  • Recent additions to the aggregation queries have helped reduce (no pun intended) my need to better wield the weapon that is Map-Reduce.
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Likelihood to Renew
The DB2 database is a solid option for our school. We have been on this journey now for 3-4 years so we are still adapting to what it can do. We will renew our use of DB2 because we don’t see. Major need to change. Also, changing a main database in a school environment is a major project, so we’ll avoid that if possible.
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MongoDB is one of the most famous non-relational databases in the world, there are famous active projects that use this database. I think that the same company that develops the database gives you the online induction totally free is something that really is very positive. Accounts with a first-class support to be able to relate the correct implementation of the database, in addition to teaching you the best practices to optimize your projects, I believe that with this decision it is more than obvious which is the best decision at the time of seeing with which database to work.
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Usability
You have to be well versed in using the technology, not only from a GUI interface but from a command line interface to successfully use this software to its fullest.
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It is one of the reasons why we prefer it to store documents in a JSON-style format, to access the desired document very quickly regardless of its size, to be readable by human eyes, and to be easily scalable and manageable.
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Reliability and Availability
I have never had DB2 go down unexpectedly. It just works solidly every day. When I look at the logs, sometimes DB2 has figured out there was a need to build an index. Instead of waiting for me to do it, the database automatically created the index for me. At my current company, we have had zero issues for the past 8 years. We have upgrade the server 3 times and upgraded the OS each time and the only thing we saw was that DB2 got better and faster. It is simply amazing.
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No answers on this topic
Performance
The performances are exceptional if you take care to maintain the database. It is a very powerful tool and at the same time very easy to use. In our installation, we expect a DB machine on the mainframe with access to the database through ODBC connectors directly from branch servers, with fabulous end users experience.
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No answers on this topic
Support Rating
Easily the best product support team. :) Whenever we have questions, they have answered those in a timely manner and we like how they go above and beyond to help.
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I have reached multiple times to the MongoDB community for the help and they have provided each and easy solution for every problem. Over the internet and on stack overflow many people responds over the challenges. Now this tool is very much used in every company and projects so internally many people are there to give a support.
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In-Person Training
the material was very clear and all subjects have been handled
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No answers on this topic
Implementation Rating
db2 work well with the application, also the replication tool can keep it up
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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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Alternatives Considered
With the other two mentioned above, I needed to have processes and frameworks that executed outside of the environment driving DB management operations. Yes, these are completely different solutions; however, the support you get for framework, library, and language support allows for runtime at a different layer than with other solutions.
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The environment I work in is somewhat unique in that we use both MySQL and MongoDB. However, each is used for specific purposes that the other is not well suited for. MongoDB is not a relational database like MySQL, so it serves as the perfect place to dump key bits of data for quick retrieval later. This is something we can't easily do with MySQL. On this smaller database, MongoDB also lets us retrieve data more quickly with its fast and efficient querying.
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Scalability
DB2 can be configured and can work with a variety of applications as opposed to how it was designed initially to only with with IBM mainframes. It's easy implementation process makes it a good buy for many organizations to scale their applications to be the best in terms of versatility, resilience and application performance
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No answers on this topic
Return on Investment
  • Time efficiency is the major point to highlight, especially the minimal time this takes while querying a larger set of data.
  • Reliability becomes another major factor as the application can be accessed at any point in time.
  • Users might initially find it challenging to use the application.
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  • We can make more open and flexible systems due to its easy adaptation to new evolutions in web applications.
  • In the latest versions it offers support for different transactions and we could carry out real tests related to the concurrency of the application.
  • MongoDB allows you to have distributed clusters, which improves the speed of the queries by reducing the latency that exists between the database cluster and the service that executes the query.
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ScreenShots

Db2 Screenshots

Screenshot of Db2 - Data sharingScreenshot of Db2 - Machine LearningScreenshot of Db2 - Real time insights

MongoDB Screenshots

Screenshot of Screenshot of Screenshot of Screenshot of Screenshot of Screenshot of