Informix is an embedded relational database offering from IBM.
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PostgreSQL
Score 8.8 out of 10
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PostgreSQL (alternately Postgres) is a free and open source object-relational database system boasting over 30 years of active development, reliability, feature robustness, and performance. It supports SQL and is designed to support various workloads flexibly.
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 …
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 …
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.
As a DB Team Leader I have been looking after other platforms (SQLSvr, MySQL, Oracle and PostgreSQL), supporting application changes, and driving their platforms enhancements through lots of projects over many years. The more I have learnt from other platforms, the more I found …
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. …
My expirence with other solutions is very limited, but what I saw/heard is, that on Azure the managed MS SQL Server is said to be more flexible and you can use it in a serverless-ish fashion. But on the other hand, PostgresSQL is still strong regarding its efficiency. And in my …
Being open source, PostgreSQL offers the highest performance among its peers. It has a strong support community where we can find solutions to most of the queries. It's suited for GIS (Geospatial) based applications, making it unique from its peers. There are fewer databases …
PostgreSQL holds it own against both these options. Some of these DBs are in play for certain needs but the majority are PostgreSQL because of cost and operational performance.
In my experience using all of these products over many years, PostgreSQL is better than any of them in reliability, performance, productivity, cost, scalability and interoperability across operating systems.
MySQL is an Oracle product which has in itself some known issues due to that (support, contract terms). Based on my knowledge, PostgreSQL support everything that MySQL support (syntax wise) and it adds more improvements and syntaxes that make the life of database engineers and …
First It's open source and it's cost-effective compared to other databases.PostgreSQL can be easily integrated with numerous platforms. It is well known and appreciated so relying on it as our system database can be easily accepted by our customers. And if your developing a …
For our use cases, PostgreSQL is just as feature rich as other options, costs less, and is simple to get up and running. There is also a plethora of documentation to support it which makes it a great option for a small scale startup without needing high levels of expertise to …
In this case, Postgres is preferred because it handles large data sets and requires fewer hardware resources than its competitor, MySQL. Compared to PostgreSQL, Microsoft products are excellent, but the installation process for MS SQL is lengthy. PostgreSQL has an advantage …
I've been using different databases for the past 20 years, solutions like MS SQL Server, MySQL, MariaDB, Interbase, Firebird, DB2, etc., and by using them I wasn't able to be neither close to the performance PostgreSQL deliver. Also, it is one of the most popular databases on …
Although the competition between the different databases is increasingly aggressive in the sense that they provide many improvements, new functionalities, compatibility with complementary components or environments, in some cases it requires that it be followed within the same …
We evaluated both PostgreSQL and MySQL, two popular open source relational databases. While they are very similar in most areas, PostgreSQL's reliability and performance won us over, plus it has much better support from cloud vendors we also work with.
Postgres stacks up just [fine] along the other big players in the RDBMS world. It's very popular for a reason. It's very close to mySQL in terms of cost and features - I'd pick either solution and be just as happy. Compared to Oracle it is a MUCH cheaper solution that is just …
A free corporate professional product. Who does not want to have such a thing, we hesitated because we did not know the product before and frankly we did not want it at first. But when we give it a chance, it has been running smoothly for years.
When we were originally evaluating Redshift we ran into some issue with dates. Either way, Postgres is a better choice than Redshift because it avoids vendor lockin. We ended up choosing Postgres over MySQL because it was easier at the time to get a hosted Postgres cluster up …
As I have been telling all along, PostgreSQL is much cheaper compared to the other RDBMS solutions. It has got better performance with some of the application services that we are using and is easy to maintain. Overall, we are satisfied migrating to PostgreSQL database clusters.
Much more mature and stable when compared to MySQL with features such as MVCC, complex subquery plans, ORDBMS, and NoSQL support. With Oracle retaining rights to MySQL its future as an open database is less secure and is no longer in the hands of the community. PostgreSQL also …
Its main characteristic is the integrity of the data. In addition, being free software, it has no costs associated with its license, which allows the number of installations to be scaled without problems.
The technical staff quickly learns about its installation, configuration …
Both Oracle and MS-SQL database option fell when we evaluated the effect on our overall solution cost to our customers. customer examine the overall cost of the solution they buy, selecting Oracle or MS-SQL would leave less money in our pockets. We are Linux based solutions and …
PostgrPostgreSQL as a transaction db engine against oracle and sql server works well. TPM wise compared to MySQL and MariaDB, on an evan scale. SQL function supports, far outweighs compared to MySQL and MariaDB. PG Extensions allow for flexibiltity and scalability. Allows …
We selected PostgreSQL due to the number of employees who have used it in the past. The data consistency guarantees. The multiple transaction isolation levels support.
PostgreSQL outperforms every other option. It is faster, more flexible, more reliable, easier to maintain, and more consistent in behaviour than any of the other offerings.
The main reason for select PostgreSQL against MS SQL Server Express edition is the necessity to use open-source platform, without any issues for licensing, client licensing, etc. etc, which is usually follows developers and project managers when they start to use products and …
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).
Based on my experience, PostgreSQL is exactly what I imagine when thinking of a relational database: it is fast for querying and intuitive (if the underlying relations have been well written) and its writes are also efficient. Of course you need to know that a relational database is what you need, for example I would not recommend it if you have a lot of unstructured data that have no way to create a relation from and if you need to run heavy aggregations over your data, as it is not where PostgreSQL would shine.
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!.
The stability it offers, its speed of response and its resource management is excellent even in complex database environments and with low-resource machines.
The large amount of resources it has in addition to the many own and third-party tools that are compatible that make productivity greatly increase.
The adaptability in various environments, whether distributed or not, [is a] complete set of configuration options which allows to greatly customize the work configuration according to the needs that are required.
The excellent handling of referential and transactional integrity, its internal security scheme, the ease with which we can create backups are some of the strengths that can be mentioned.
The query syntax for JSON fields is unwieldy when you start getting into complex queries with many joins.
I wish there was a distinction (a flag) you could set for automated scripts vs working in the psql CLI, which would provide an 'Are you sure you want to do X?' type prompt if your query is likely to affect more than a certain number of rows. Especially on updates/deletes. Setting the flag in the headless(scripted) flow would disable the prompt.
Better documentation around JSON and Array aggregation, with more examples of how the data is transformed.
Postgresql is the best tool out there for relational data so I have to give it a high rating when it comes to analytics, data availability and consistency, so on and so forth. SQL is also a relatively consistent language so when it comes to building new tables and loading data in from the OLTP database, there are enough tools where we can perform ETL on a scalable basis.
The data queries are relatively quick for a small to medium sized table. With complex joins, and a wide and deep table however, the performance of the query has room for improvement.
There are several companies that you can contract for technical support, like EnterpriseDB or Percona, both first level in expertise and commitment to the software.
But we do not have contracts with them, we have done all the way from googling to forums, and never have a problem that we cannot resolve or pass around. And for dozens of projects and more than 15 years now.
The online training is request based. Had there been recorded videos available online for potential users to benefit from, I could have rated it higher. The online documentation however is very helpful. The online documentation PDF is downloadable and allows users to pace their own learning. With examples and code snippets, the documentation is great starting point.
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.
In my experience using all of these products over many years, PostgreSQL is better than any of them in reliability, performance, productivity, cost, scalability and interoperability across operating systems.
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