Treehouse Software helps Mainframe Customers Move Data to the World’s Fastest Cloud Data Warehouse — Amazon Redshift

by Joseph Brady, Director of Business Development / AWS and Cloud Alliance Lead at Treehouse Software, Inc.

Treehouse Software is an AWS Technology Partner, and has been a mainframe software company since 1982, and in the data replication and migration market space since the mid-1990s. Today, Treehouse Software is helping enterprise mainframe customers successfully move their data to the Cloud in order to utilize all of the most advanced Cloud services and tools available. Our tcVISION product can help customers replicate their mainframe data, in real-time and bi-directionally, between a vast array of source databases and many AWS Cloud technologies, including Amazon Redshift, the world’s fastest cloud data warehouse today.

Highly concurrent workloads? Not a problem. Redshift can handle virtually unlimited concurrency. Amazon Redshift’s hybrid architecture enables unmatched performance…

___AWS_RedShift_Architecture

Shared storage provides the ability to scale to unlimited concurrency, while Redshift’s on-instance storage provides low latency access to data that can’t be achieved any other way. The unique combination of both strategies provides Redshift’s best-in-class performance today and leaves room for continued performance improvements tomorrow.

Scale quickly and automatically to handle unpredictable workloads…

Start small at $0.25 per hour and scale up to terabytes or petabytes for under $1,000 per terabyte per year. Pay only for what you use and know how much you’ll spend with predictable monthly costs. That’s 75% less expensive than the #2 cloud data warehouse provider.


Further reading: tcVISION Mainframe-to-AWS data replication is featured on the AWS Partner Network Blog…

___tcVISION_AWS_HA_Architecture

AWS recently published a blog about tcVISION’s Mainframe-to-AWS data replication capabilities, including a technical overview, security, high availability, scalability, and a step-by-step example of the creation of tcVISION metadata and scripts for replicating mainframe Db2 z/OS data to Amazon Aurora. Read the blog here: AWS Partner Network (APN) Blog: Real-Time Mainframe Data Replication to AWS with tcVISION from Treehouse Software.


__tsi_logo_400x200

Contact Treehouse Software for a Demo Today…

No matter where you want your mainframe data to go – the cloud, open systems, or any LUW target – tcVISION from Treehouse Software is your answer.

tcVISION_Overall_Diagram

Just fill out the Treehouse Software Product Demonstration Request Form and a Treehouse representative will contact you to set up a time for your online tcVISION demonstration.

A real-world example of how Treehouse Software is helping enterprises with their Mainframe-to-Cloud / LUW / Open Systems data migration and replication initiatives…

by Joseph Brady, Director of Business Development for Treehouse Software

Many medium to large size companies are still investing in new mainframe systems, because they have been relying on them for decades to handle mission critical data transaction processing. For these companies, their mainframes are deeply entrenched, and have been rock-solid reliable over the years, allowing many users and applications to simultaneously access the same data without interfering with each other. Mainframes also perform large-scale and extremely fast transaction processing (thousands of transactions per second). Chances are, most transactions for which you use your debit or credit cards have a mainframe processing the data in the background.

There have been countless predictions of the demise of the mainframe over the years, but they have been proven wrong every time, and there’s no sign of extinction any time soon. Mainframes remain a vital part of IT infrastructures used by companies spanning a variety of industries around the world, including banking, insurance, healthcare, government, aviation, and retail.

Today, most companies that have their enterprise data stored on a mainframe system are discovering the advantages of newer cloud and open systems databases and services, including instantaneous global database deployments (e.g., Amazon Aurora), economics to scale, high availability, elasticity, security, testing at scale, disaster recovery, etc. Consequently, these companies are looking for an automated solution that allows real-time data replication between the two environments, and many are turning to Treehouse Software.


_0_Airline_Manitenance

Customer Scenario: A Look at a Large Airline’s Mainframe Data Replication Project

Treehouse Software has a major airline customer that is a long-time user of Software AG’s Adabas database on their mainframe system. Their desire was to move their data to more modern applications off of the mainframe. However, their mainframe contains vital airline maintenance and parts data that must always be highly available, so rather than performing a complete migration from the mainframe, the customer decided to utilize a data warehouse with a requirement of real-time data replication. This allows the mainframe legacy teams to maintain existing applications, while the modernization team develops applications on the newly created RDBMS. All teams determined that tcVISION real-time mainframe data replication was the perfect fit for meeting their goals.

How tcVISION Addressed the Customer Needs...

The high-level environment for the airline customer using tcVISION for data replication looks like this…

___Airline_tcV_Overview

  • Adabas: Mainframe data source containing business critical information replicated to the RDBMS.
  • Oracle: Open Platform RDBMS chosen by customer as replication target for both data warehouse and modernization project. The tcVISION Manager also uses Oracle as a repository for the metadata (field mappings).
  • tcVISION Manager: Software component deployed on both source and target systems. It is responsible for provisioning resources for:
    • Processing scripts
    • Metadata import
    • Scheduling
  • tcSCRIPT: Software component deployed on both source and target systems. It works in conjunction with the tcVISION Manager to:
    • Perform initial load of Adabas into Oracle
    • Ongoing near realtime CDC (Change Data Capture) and replication from Adabas to Oracle
    • tcSCRIPT processes data from:
      • Direct from the DBMS (initial load) or from DBMS extracts
      • Adabas Protection log (PLOG)
  • tcVISION Control Board: Software component deployed on a Windows machine which provides graphical user interface for a single point of control to administer the tcVISION environment:
    • Metadata import, creates metadata rules governing relationship between mainframe and open platform data structures
    • Replication rule maintenance
    • DDL creation
    • Creation of ETL and replication processes
    • Start, stop, and schedule replication processes

Customer’s Technical Requirement for tcVISION

The airline requires that the replication solution must support online and batch Adabas transactions and provide data replication between Adabas and Oracle. Additionally, their large databases contain millions of rows (e.g., > 50 million) that must be supported, as well as support for database change audit requirements (datetime and type of operation), transaction management, and notification of exception events.

There must also be support for configuration management between development, QA, and production.

Finally, the solution must address hardware and software failures on the mainframe, Linux, and database nodes.

Customer Outcomes

All requirements were met by tcVISION, which led to a successful project implementation.  Here is a look at the customer outcomes and benefits:

Business Outcome Customer Benefit
Data warehouse is always in sync with Adabas using tcVISION data replication Improved timeliness and reliability of reporting data
Reduced usage of mainframe MIPS Reduced cost
All data required for modernization project was successfully replicated to target environment Increased business efficiently and agility

Many more mainframe data migration and replication customer case studies can be read on the Treehouse Software Website.


__TSI_LOGO

Contact Treehouse Software for a Demo Today…

No matter where you want your mainframe data to go – the cloud, open systems, or any LUW target – tcVISION from Treehouse Software is your answer. 

_0_Treehouse_tcV_Cloud_OpenSystems

Just fill out the Treehouse Software Product Demonstration Request Form and a Treehouse representative will contact you to set up a time for your online tcVISION demonstration.


Further reading: AWS Partner Network (APN) Blog: Real-Time Mainframe Data Replication to AWS with tcVISION from Treehouse Software

Treehouse Software Customers are Looking Upwards to Mainframe-to-Cloud Data Replication

The search is on for a mature, easy-to-implement Extract Transform and Load (ETL) solution for migrating mission critical data to the cloud.

Mainframe_to_Cloud

Treehouse Software’s tcVISION supports a vast array of integration scenarios throughout the enterprise, providing easy and fast data migration for mainframe application modernization projects, and enabling data replication between mainframe, Linux, Unix and Windows platforms. This innovative technology offers comprehensive abilities to identify and capture changes occurring in mainframe and relational databases, then publish the required information to an impressive variety of targets, both on-premise and cloud-based.

Mainframe-to-Cloud Case Use Example…

BAWAG P.S.K. is one of the largest banks in Austria, with more than 1.6 million private and business customers and is a well-known brand in the country. Their business strategy is oriented towards low risk and high efficiency.

BAWAG was looking to reduce the load on their IBM mainframe and as a result, reduce costs. The project involved offloading data from their core database system to a less expensive system, in real-time, and to provide read access from that system to the new infrastructure. The primary motivator for this data migration was the constantly increasing CPU costs on the mainframe caused by the growing transaction load of online banking, mobile banking, and the use of self service devices.

BAWAG ultimately migrated their online banking application to the cloud using tcVISION. Realtime Event-handling, Realtime Analytics, Realtime Fraud Prevention are only a few of the use cases that the bank’s solution currently covers.

BAWAG_Diagram

The bank decided to use tcVISION to migrate z/OS DB2 data into a Hadoop data lake (a storage repository that holds raw data in its native format). 20 Million transactions were made within 15 minutes.

Cost Reductions Seen Immediately

BAWAG is now seeing a 35-40 percent reduction of the MIPS consumption for online processing during business hours. After hours, consumption is less, because it is mainly batch processing on the mainframe. Currently, a volume of approximately 30 GB changed data (uncompressed) is replicated from DB2 per day.

In addition to the primary usage scenario, BAWAG can also cover additional use cases. This includes real-time-event handling and stream processing, analytics based upon real-time data as well as the possibility to report and analyze structured and unstructured data with excellent performance. The system can be inexpensively operated on Commodity Hardware and has no scalability limitations. Compared to the savings, the costs of replication (CPU consumption) of tcVISION are now very low.

Additionally, BAWAG plans to extend the use of tcVISION in the future, including implementation of real-time replication from ORACLE into the data lake.


Find out more about tcVISION — Enterprise ETL and Real-Time Data Replication Through Change Data Capture

tcVISION supports a vast array of integration scenarios throughout the enterprise, providing easy and fast data migration for mainframe application modernization projects and enabling bi-directional data replication between mainframe, Linux, Unix and Windows platforms. This innovative technology offers comprehensive abilities to identify and capture changes occurring in mainframe and relational databases, then publish the required information to an impressive variety of targets, both on-premise and Cloud-based.

_0_tcvision_connection_overview

tcVISION acquires data in bulk or via change data capture methods, including in real time, from virtually any IBM mainframe data source (Software AG Adabas, IBM DB2, IBM VSAM, IBM IMS/DB, CA IDMS, CA Datacom, even sequential files), and transform and deliver to virtually any target. In addition, the same product can extract and replicate data from a variety of non-mainframe sources, including Adabas LUW, Oracle Database, Microsoft SQL Server, IBM DB2 LUW and DB2 BLU, IBM Informix and PostgreSQL.


__TSI_LOGO

Visit the Treehouse Software website for more information on tcVISION, or contact us to discuss your needs.

Treehouse Software Eases the Challenges for Mainframe-to-Modern Platform Transformation Programs for Systems Integrators

Unlock Your Customers’ Business Value Faster with Frequent Production Deliveries, Using Agile Methods

Treehouse Software’s product, tcVISION has proven to be vital for the ease and success of many mainframe modernization initiatives.

A big problem for a Systems Integrator (SI), or any mainframe modernization vendor, is the myriad of dependencies between mainframe and open systems data and components. As part of a mainframe modernization project, these vendors need to determine the ordering of phases or waves of applications to be migrated. There are often shared databases that can make it very difficult to move one set of applications without moving others. This can result in the conclusion that they must go with a “big bang” approach, which can lead to a bid for a program with one large delivery at the end with all of the integrated components in place. This is very unappealing to customers as they are paying out big dollars without the corresponding business value of a production deployment. This approach also significantly increases the project risk.

___Mainframe_To_LUW

With Treehouse Software’s bi-directional replication product, tcVISION, a subset of applications can be migrated, and tcVISION’s data synchronization capabilities can be used to bridge specific shared legacy mainframe databases to the modern database versions on open systems. This allows them to deliver in phases, thus getting modernized modules in production faster. In addition, it decreases risk as issues can be found much faster with the more frequent production deployments. When the last modules are deployed to production, they would no longer need the synchronization.

As an example, a large Treehouse customer is currently involved in gradually modernizing and replacing a set of applications, and is using a similar approach. The customer will be using their mainframe Adabas database synced with Oracle on Linux, while in the process of modernizing the applications. Treehouse Software’s experts and tcVISION product are making sure the customer’s transition goes smoothly and seamlessly.


Enterprise ETL and Real-Time Data Replication Between Virtually Any Source and Target

tcVISION supports a vast array of integration scenarios throughout the enterprise, providing easy and fast data migration for mainframe application modernization projects and enabling bi-directional data replication between mainframe, Linux, Unix and Windows platforms. This innovative technology offers comprehensive abilities to identify and capture changes occurring in mainframe and relational databases, then publish the required information to an impressive variety of targets, both on-premise and Cloud-based.

_0_tcvision_connection_overview

tcVISION acquires data in bulk or via change data capture methods, including in real time, from virtually any IBM mainframe data source (Software AG Adabas, IBM DB2, IBM VSAM, IBM IMS/DB, CA IDMS, CA Datacom, sequential files), and transform and deliver to virtually any target. In addition, the same product can extract and replicate data from a variety of non-mainframe sources, including Adabas LUW, Hadoop/HDFS, MongoDB, Oracle Database, Microsoft SQL Server, IBM DB2 LUW and DB2 BLU, IBM Informix, PostgreSQL, etc.


__tsi_logo_400x200

Visit the Treehouse Software website for more information on tcVISION, or contact us to discuss your needs.

Treehouse Software Partners with Stone Bond Technologies to offer comprehensive enterprise Data Virtualization

Press Contacts: Joe Brady (+1.724.759.7070 x110; jbrady@treehouse.com); Irma Barrientos (+1 713.300.8882; ibarrientos@stonebond.com)

Pittsburgh, PA; Houston, TX, November 17, 2016. ­ Treehouse Software, Inc., of Sewickley, PA and Stone Bond Technologies, L.P. of Houston, TX today announced a partnership to bring agile integration and data virtualization capabilities to every enterprise. Now mainframe data sources can be combined into virtual schemata with relational databases, ERP data, Cloud sources and social media by combining Stone Bond’s Enterprise Enabler® with Treehouse’s tcACCESS.

Since the mid-1990s, Treehouse has been a global leader in mainframe data migration, replication and integration, offering robust and flexible solutions for ETL, CDC and real-time, multidirectional replication between databases on various platforms. With Enterprise Enabler, Treehouse customers benefit from a single platform for enterprise and Cloud integration to deliver integration projects with up to 90% time savings over other solutions.

Treehouse will provide worldwide product sales, marketing and support for Enterprise Enabler, bringing leading-edge integration capabilities to its hundreds of existing customers and to new customers pursuing initiatives such as Agile BI, Master Data Management, Logical Data Warehouses and Web Services.

One of the fastest-growing data virtualization platforms on the market, Enterprise Enabler has been leading the innovation of data management, data federation and data virtualization for nearly 15 years. To serve its expanding base of customers, Stone Bond has grown its set of AppComm™ connectors to accommodate the widest range of enterprise and line-of-business data sources. Treehouse’s tcACCESS effectively becomes the “Mainframe AppComm”, providing full read/write access to a wide range of mainframe data sources on both z/OS and z/VSE platforms.

Wayne Lashley, Treehouse Chief Business Development Officer, said, “Our reputation for capably solving mainframe data integration challenges now extends to other modern enterprise data sources including SAP, Salesforce.com and Microsoft SharePoint. With the push of a button, our customers can securely expose these disparate virtualized sources to popular BI tools like Tableau and to other applications in standard formats like REST and JSON. Current, past and new customers can look to Treehouse to address any imaginable integration scenario.”

Commented Tom Sieger, Stone Bond SVP, Corporate Strategy and Business Development, “Embracing mainframe data sources bolsters the “enterprise” in Enterprise Enabler. We are excited to work with Treehouse to grow Enterprise Enabler sales into new markets and geographies.”


__tsi_logo_400x200

About Treehouse Software, Inc.
Privately-held Treehouse Software was founded in 1982, and has hundreds of customers worldwide that benefit from the company’s industry-leading products and outstanding technical support. The traditional strengths of the company in performance management, security and software configuration management have been complemented by visionary leadership in mainframe data replication and integration and application modernization.

stonebond_logo

About Stone Bond Technologies, L.P.
Headquartered in the heart of Houston, Texas, Stone Bond Technologies was founded in 2002 with a commitment to innovation that continues today. More than just adding features to existing offerings, the company’s approach to information business systems is to make an enterprise’s data agile: to move data efficiently and easily, without barriers. Stone Bond’s client base continues to expand from its roots in the Energy industry to Financial Services, Life Sciences, Information Technology, Hospitality, Manufacturing and more.