Informix is an embedded relational database offering from IBM.
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OpenText Vertica
Score 10.0 out of 10
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The Vertica Analytics Platform supplies enterprise data warehouses with big data analytics capabilities and modernization. Vertica is owned and supported by OpenText.
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.
Vertica as a data warehouse to deliver analytics in-house and even to your client base on scale is not rivaled anywhere in the market. Frankly, in my experience it is not even close to equaled. Because it is such a powerful data warehouse, some people attempt to use it as a transactional database. It certainly is not one of those. Individual row inserts are slow and do not perform well. Deletes are a whole other story. RDBMS it is definitely not. OLAP it rocks.
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.
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.
Could use some work on better integrating with cloud providers and open source technologies. For AWS you will find an AMI in the marketplace and recently a connector for loading data from S3 directly was created. With last release, integration with Kafka was added that can help.
Managing large workloads (concurrent queries) is a bit challenging.
Having a way to provide an estimate on the duration for currently executing queries / etc. can be helpful. Vertica provides some counters for the query execution engine that are helpful but some may find confusing.
Unloading data over JDBC is very slow. We've had to come up with alternatives based on vsql, etc. Not a very clean, official on how to unload data.
I haven't had any recent opportunity to reach out to Vertica support. From what I remember, I believe whenever I reached out to them the experience was smooth.
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.
Vertica performs well when the query has good stats and is tuned well. Options for GUI clients are ugly and outdated. IO optimized: it's a columnar store with no indexing structures to maintain like traditional databases. The indexing is achieved by storing the data sorted on disk, which itself is run transparently as a background process.
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
