Has your team started a new project but not had enough servers for development, QA, and performance testing environments? Does your business have predictable periods of higher and followed by lower workloads on HCL and IBM Informix? Are there challenges – perhaps capital expense approvals, or IT department scheduling conflicts – to getting a new HCL and IBM Informix server in the timeframe you need it?
Do you have a business challenge that you would like to discuss with an HCL Informix expert? Need to collaborate on ideas or discuss the latest Informix features or roadmap? Let's connect.
We are excited to announce the addition of the Microsoft Azure Marketplace to the growing list of available public cloud platforms for HCL Informix deployment. Ordering Informix via the Marketplace is as easy as 1, 2, 3 and you can be developing within minutes on this hosted offering, on a multitude of virtual machine sizes.
It has been another three hectic months in the worldwide autobahn: Los Angeles, San Jose, Kansas, Chicago, New York, Sunnyvale, Mexico, Dallas, Kansas, Stockholm, London, Zurich, Barcelona, New Jersey, Hamburg, Boston, Bengaluru, Pune, Delhi, Singapore, Kansas, Colombia and back to Miami.
In all of these places, meeting with clients and business partners, with actual and former users, with prospects and colleagues. As always, I found a lot of positive energy and motivation that mutually encourages to keep moving forward in the direction we had set. Of course, invariably you will find more challenging environments, to put it elegantly, but addressing and resolving is part of our mission too.
Earlier this year, we were able to bring you HCL Informix on Cloud, with the convenience of purchasing and deploying from the AWS Marketplace.
Now, we are excited to announce our first on-premise HCL Informix release available today!
It’s 6:02am, a cool winter morning in Friedrichshafen, Germany. It’s dark night outside. My friend Richard Luft, our partner at www.bytec.eu, told me he would pick me up at 6:00am at the hotel. I looked out through the window and while I couldn’t see the Lake Constanze, I could see his car right there, of course, and I knew I was very late now. I rushed up and by 6:04 I sat in, apologizing for my tardiness. “No problem” he said, “I used this time to buy a ticket online for a show that I saw advertised in one of the major TV channels, by the way, did you know that the biggest online ticket sales in Germany runs on IBM Informix?”, I quickly replied “and did you know that that TV channel is part of the biggest TV group and it also runs in IBM Informix?”. Smiles.
Compression of TimeSeries data was first introduced in 12.10.xC3. This feature provides compression algorithms on sensor data to maximize the storage efficiency. It was limited to numeric types (smallint, integer, bigint, real, and float). While this worked well for applications that only captured numeric sensor data, there are many use cases where other data is captured that is not numeric. This latest enhancement to TS compression supports these applications capturing non-numeric data from the sensors.
For years, IBM Informix has been powering the world’s most critical business applications. Thousands of clients globally trust the reliability of IBM Informix, with its legendary almost zero downtime and low administration required. Many clients have been leveraging its unique features like NoSQL, Pattern Matching, Smart Triggers, Time Series, and in-database analytics capabilities. More recently with the rise of IoT, IBM Informix’s small footprint and “set it and forget it” capability have made it attractive to full-stack IoT solution developers as they embed IBM Informix in millions of devices and sensors.
One of the key features that makes Informix technology the ideal choice as an IoT database is its built-in support for MQTT protocol. Allowing users to publish data directly via MQTT. This article will show the users how to do it and we will be using the sample code that is available in the GitHub repository - https://github.com/informix/samples-MQTT-python.
In this post we look at methods to define data marts in the Informix Warehouse Accelerator (IWA). IWA is a software appliance for the Informix database server, using in-memory, columnar data storage for business intelligence applications doing OLAP. For such workloads IWA typically can achieve a query acceleration of 10 - 100 times faster than running the workload within the Informix database server.