IBM Informix vs. MongoDB

Informix is very well suited for either OLTP and OLAP transaction processing. This means that it has the best technology, concentrating both business requirements: transactional and analytical processing at the same time, as well as being able to store and process structured and unstructured data at the same time as well, and able to scale up and out if needed or required. This is why Informix is able to adapt to almost any sort of environment and satisfy almost any sort of requirement, even if the requirement is to be embedded in hardware! This last is possible because it it requires zero support and maintenance, as it can be self tuned and self healed. One of the main scenarios which is nowadays getting promoted for is the IoT one. Starting from mid 90's Informix incorporated the extensibility concept through the datablades it had brought from Illustra. This is why it is pioneer in the TimeSeries and GeoSpatial (tracking moving objects) technology, with the fastest and best storing TimeSeries techniques and GeoSpatial functionalities. The Wire Listener is one of the best features Informix has introduced to its suit of functionalities, can work in three different scenarios API types: MQTT, REST and MONGO, supporting IoT, MongoDB (an application using MongoDB can be redirected as it is to Informix-Mongo without changes) and able to understand HTTP functions (POST, GET, PUT, etc).

Incentivized

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.

• Informix since its conception has a distinct multi-threading architecture no other engine has, it is unique of its kind. This is precisely how the engine is able to scale up like no other, with the lowest footprint, without killing the host and profiting each bit of the hardware. The threads are sub-proceses like any other one, but the difference is that they are are not controlled by the OS process dispatcher. This is why you will never be able to see these threads running at OS level. Informix is an OS itself, on top of the OS.
• Informix has the best replication techniques. Not many ppl know that MongoDB (the NoSQL engine) scales out because of its data sharding replication technology, and Informix is able to store Mongo BSON documents using the same data partitioning as MongoDB does. This way Informix extends the SQL or structured data with the unstructured data natively, together within the same data repository. This means that it is not only able to store JSON/BSON documents, but the engine is able to behave as it would be the MongoDB engine itself. Any application using MongoDB can be redirected to the Informix Mongo wire listener transparently. What´s more, it also improves the NoSQL (BASE) characteristic, making it ACID by allowing transactions to the CRUD operations. This last is something MongoDB is working on, promised to be delivered next year.
• As described previously, MongoDB's sharding concept relies on data partitioning, this is how it scales out, and as I also described previously Informix scales up given the described multithreading unique architecture! It implements the data sharding with one of its best replication technologies called Enterprise Replication. This is an Active-Active replication technology that allows replicating even between different platforms. This is actually how I managed to migrate the whole Informix platform from Solaris to Linux, with just a DNS change. There was almost ZERO downtime nor application change - this was really amazing!.

Incentivized

• 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.

Incentivized

• No major on this system just the security setting.
• Big data transfer slows performance.
• Ability to manage huge amount of different data type requires a professional.

Incentivized

• 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.

Incentivized

Informix is the best RDBMS on the market. Period.

Incentivized

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.

Incentivized

Server management is easy enough to be able to embed the engine in a device and let it run for years without maintenance.

Incentivized

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.

Incentivized

The Informix product support team has won awards and is appreciated by the entire Informix user community.

Incentivized

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.

Incentivized

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.

Incentivized

IBM Informix unlike the tools above creates effective solutions for big data extraction and data transportation functionalities across the entire Cloud services and the Automation ability is the best. The security that IBM Informix provides for all our business data and other project information and contacts is effective and the reports are very clean and easy to understand.

Incentivized

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.

Incentivized

• Although I do not own nor have visibility on my company's figures:
• Informix generates consistent savings on DBA staffing, no need for many DBAs as other DBMS require.
• The replication architecture allowed consistent savings in the infrastructure as well as developments and maintenance, the job is already done, no need to develop complex and costly solutions, it's just a matter of configuring it.
• The advantages of hybrid development (i.e mixing SQL and NoSQL in the same database) is not just a marketing hype: it allowed us to solve with a brilliant solution, in one afternoon of coding, a functional problem we have been having for more than 10 years!
• The biggest drawback is that IBM pricing may be constraining, it has too important gaps between the mid range and highrange in terms of pricing

Incentivized

• 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.

Incentivized