Striim – NonStop benefits from Stream Data Integration!

Source: Gartner (March 2019)

The NonStop community has known of Striim for almost a decade. Ever since Striim gave presentations on its products to the NonStop community, it has been clear that in today’s data-driven world, Striim provides the necessary infrastructure to best integrate NonStop into the IT world surrounding NonStop systems in an enterprise data center. It’s not by accident that Striim leveraged popular Change Data Capture (CDC) method to ingest data that then can be streamed to other platforms, as CDC is a well-known non-intrusive model that’s familiar to most members of the NonStop Community.

In last month’s article published in NonStop Insider we wrote about Enterprise-Grade solutions and of how Striim is Enterprise-Grade:

“Striim is now widely accepted as being an Enterprise-Grade solution and with this, the HPE NonStop community has the assurance that it will support data being created on NonStop by the mission critical applications … 

“Enterprise-Grade: What does this mean today? When the industry addresses enterprise-ready solutions it is referring to products with features we all associate as mandatory for any product to be deployed across an enterprise. These features typically address security, ease of integration, an ability to be deployed against multiple use-cases (that may help) manage IT complexity, true lifecycle management and much more.”

This month, we will be highlighting the importance of Stream Data Integration (SDI) as it pertains to NonStop. Business-critical data is created on NonStop but more importantly, this data needs to be streamed, in real time, to where it’s most needed and where it can be transformed into time-sensitive information for the whole enterprise. According to Gartner:

“SDI (stream data integration) implements a data pipeline to ingest, filter, transform, enrich and then store the data in a target database or file to be analyzed later.” 

“For SDI systems, the input event streams are a continuous, unbounded sequence of event records rather than a static snapshot of data at rest in a file or database. The streams are data ‘in motion.’

“In our annual survey for the data integration tools market, 47% of organizations reported that they need streaming data to build a digital business platform, yet only 12% of those organizations reported that they currently integrate streaming data for their data and analytics requirements.”

Gartner: Adopt Stream Data Integration to Meet Your Real-Time Data Integration and Analytics Requirements, 15 March 2019, Ehtisham Zaidi, W. Roy Schulte, Eric Thoo

This explanation of SDI and the above quotes recently appeared in a post to the Striim blog by Katherine Rincon, What is Stream Data Integration? It’s hard to miss the message here – if you are running mission-critical applications on NonStop then there is a high probability that data has perishable, operational value. Timely integration with systems apart from NonStop becomes “a higher priority” to the point where “you may wish to reconsider how your data management architecture can support your requirements.” Once news broke that this was the focus of Striim, the NonStop community came to realize it had solid options for modernization of their data integration architecture.

Source: Gartner (March 2019)

The timing of these early announcements by Striim was such that they took place just as the new NonStop X systems were announced with virtualized NonStop about to make an appearance. The focus of NonStop users then switched to migration and modernization projects, as it was hard to ignore the value proposition from running NonStop on commodity hardware where industry standards afforded NonStop users significant cost advantages. But now, as the majority of NonStop users have switched to NonStop X (and begun testing with virtualized NonStop on VMware), modernization calls for SDI support and this is where Striim will provide value.

“At Striim, it is our belief that stream data integration is essential for you to successfully leverage next-generation infrastructures such as Cloud, advanced analytics/ML, real-time applications, and IoT analytics that make it possible to harness the value of event streams in decision making. Failure to move away from traditional data integration practices to those technologies that support stream data integration can result in valuable opportunities being missed. Batch processing technologies such as ETL simply cannot meet the high volume and low latency requirements of real-time data streams.”

If as yet you haven’t read this post to the Striim blog, then just click on this link: What is Stream Data Integration? 2020 will be a year where modernization dominates the conversations at many enterprises where NonStop is present. Should these conversations turn to how best to stream data from NonStop, please contact us to start a conversation. You can check out our web site for all the news as it breaks https://www.striim.com/ and of course, follow all the posts to our Striim blog at https://www.striim.com/blog/.

Irem Radzik | Head of Product Marketing