Informix is an embedded relational database offering from IBM.
N/A
MongoDB
Score 8.9 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
Riak
Score 10.0 out of 10
N/A
Riak is a NoSQL database from Basho Technologies in Bellevue, Washington.
N/A
Pricing
IBM Informix
MongoDB
Riak
Editions & Modules
No answers on this topic
Shared
$0
per month
Serverless
$0.10million reads
million reads
Dedicated
$57
per month
No answers on this topic
Offerings
Pricing Offerings
IBM Informix
MongoDB
Riak
Free Trial
No
Yes
No
Free/Freemium Version
No
Yes
No
Premium Consulting/Integration Services
No
No
No
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
—
Fully managed, global cloud database on AWS, Azure, and GCP
I have participated in evaluations of Informix versus most of its competing RDBMS engines. In all of those evaluations, when performance, ease of maintenance, ROI, and effort required to train staff to proficiency are the criteria of decision, Informix has always been the choice.
Informix vs. Oracle: although both products are real enterprise-class DBMS, satisfying robustness and scalability criteria, Informix is much more easy and simple to admin. It requires much fewer resources in terms of DBA staffing for an equivalent infrastructure on Oracle. …
Every database has positives and negatives. Redis is very good at set operations, but not as good at executing fast queries. MongoDB is a much cheaper data store than Riak, but not as highly available and scalable. Searching Riak is also faster than searching MongoDB or Redis…
MongoDB seems to have copied a lot of functionality from Riak. This may be because MongoDB hired a number of former Basho engineers when Basho went bankrupt. That said, the new functions added to Riak after it became open source have successfully differentiated itself from Mongo…
Features
IBM Informix
MongoDB
Riak
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
IBM Informix creates an effective and secure channel for easy and quick data management and transfer across other major Cloud platforms and other data storage systems. The analytical ability is also the best and most effective visual functionalities and the encryption and the data archiving functionalities are great and easy on reporting.
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.
Excellent Data Warehouse performance from the basic engine. Outstanding Data Warehouse performance from the Informix Warehouse Accelerator module.
Best embedability among major RDBMS systems.
Scalable from the smallest Raspberry PI up to the largest monolithic systems and out to dozens of distributed nodes.
Hybrid data capabilities to merge relational data with time seriesv, geospacial data, JSON data and other non-traditional data types with performance comparable or better than systems dedicated to those data types.
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.
Highly available: If nodes go offline for any reason, the system still operates.
Highly scalable: There is a minimum of 5 nodes, which can handle a lot by themselves. When scaling is required, it can be done easily, with minimal to no downtime on large scales.
Very fast searching: Riak has SOLR indexing built-into the core product, which makes querying for data very fast.
It is very difficult to find a missing functionality in Informix, technically is great. I will again criticize the business side and how it has been managed over the past, I hope this could be improved with HCL's help. I know they are working hard, but we need to start letting the world know and revert their concept about its existence and that it is one of the best competitors within the data treatment, in the market. We need to start telling the world about success cases and stories showing this and backing up its strong technology.
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.
Deletes!!! We've seen on numerous occasions where Riak has "resurrected" deleted data. We've worked with Basho numerous times and tried multiple changes to the way we interact with Riak to prevent the problem but it still remains. The deletes seem to reappear weeks, even months, after the delete was issued. We've had to work around this issue by providing a "deleted" flag for all data objects stored in Riak. Thus, we do no delete but simply flip the flag. Excess baggage we would really like to not have to worry about.
Search. Currently there's no way to tell what data you have in Riak without already knowing a particular bucket/key. There is a way to list the keys for a given bucket but due to performance implications, this is not a viable method to lookup data. Especially when you have a large amount of keys in the bucket.
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.
Right now, I'm on a project where we need databases that can run on embedded systems. Riak isn't necessarily the best fit for that scenario. But when we need a clustered database, that's where we'd start considering Riak.
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.
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.
Despite Basho going bankrupt and the project becoming fully open-source, community support is reasonably good, albeit a little slow at times. Paid enterprise-grade support is also available from former Basho engineers but the same company also contributes to the community support for free for basic questions or specific knowledge areas.
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.
IBM Informix 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.
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.
Because of the RESTful HTTP interface, the consistency model, and because of the catalog-driven data model, Riak was an easy win over Redis and Memcached.
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
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
Riak has been a key part of our company's build process for our client's search backend. It is valuable for is in that it provides a reliable way to view the current search index.
