Adabas & Natural 4 mins read

Unlock Adabas data for new apps, analytics, and cloud

Turn your data into a competitive advantage. Unlock a goldmine of enterprise data to business analysts and developers with real-time SQL access and event replication.

Nicole Ritchie Nicole Ritchie

Any business looking to better connect with its customers must be able to turn data into usable and actionable information. But before you can turn that data into value, you must be able to access it, understand it, and get it where you need it.  

Some of the most useful data is stored in your enterprise transaction systems — the core applications that run the heart of your business — think financial transactions, ordering systems, inventory management, registrations, scheduling, government services, etc. Many governments and businesses built these irreplaceable systems on Adabas & Natural — Software AG’s high-performance database and application development system. Today, this modern application platform can run on the latest IBM® zSystems™, Linux®, and cloud.  

These systems hold decades of data, a true goldmine of knowledge about customers, citizens, operations, financial transactions, products and so much more. There is tremendous value to be gained by making this data available for: 

  • real-time analysis and business intelligence 
  • deploying apps for anywhere engagement 
  • artificial intelligence and machine learning  
  • cloud analytics and adoption 

Fortunately, you don’t have to know Adabas to extract the maximum value from your data.

Real-time SQL data access through standard interfaces

Imagine if your business analysts and developers could quickly and easily connect to Adabas data with no knowledge of Adabas and no training? With Adabas SQL Gateway, analysts can easily access Adabas data using Structured Query Language (SQL) the lingua franca of analytic and business intelligence tools. Application developers using Java, Microsoft .Net and Python will marvel at how they too can quickly develop new apps that access the native power of Adabas through standard interfaces such as ODBC, JDBC, and OLE DB.

Share data in an understandable format

With a built-in metadata model, you can properly prepare data so that it is meaningful for analysis or application use. By placing a relational model on Adabas data, the source data is abstracted into a common framework easily understood by analysts, developers and common apps and tools. This powerful metadata model also opens the door for data virtualization — allowing you to access data from multiple different databases and present it in a single virtual view as if it’s all living in a single database.

Replicate data in real time

Sometimes just accessing the data isn’t enough, you may want to push Adabas data to third-party databases, cloud data lakes, data streaming, or messaging systems. With Adabas Event Replicator, you can ensure the freshest data from your z/OS or Linux systems is available 24/7. With real-time event replication of Adabas data changes, your business can develop event-driven applications that can automate or accelerate business processes or analyze data streams “on the fly.”

Take your data anywhere

Adabas data can be wherever you need it — whether it’s on the cloud, Linux, or mainframe — in order for you to get the most value from reusing the valuable information within. With Adabas SQL Gateway and Adabas Event Replicator for z/OS or Linux, you can confidently:  

  • Provide access to Adabas data without disrupting performance & security 
  • Accelerate cloud adoption while maintaining business stability & continuity 
  • Improve time-to-market for new products, services, and applications 
  • Power cloud-based, data-driven apps, and platforms for anywhere engagement 
  • Make optimal decisions by analyzing your best data 

We’re committed to making sure Adabas & Natural remains a core part of your business. Keeping Adabas & Natural at the forefront of value creation for decades to come is a major component of our Adabas & Natural 2050+ initiative. 

Discover how to maximize the value of your Adabas data.