Mainframe software directory - Database

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Database Software

ADABAS
Company:
Software AG
Adabas is Software AG's advanced database management system that delivers high transaction throughput while ensuring integrity and flexibility.

CA Datacom
Company:
CA
Advantage CA-Datacom/DB Database is a high-performance relational DBMS that provides the necessary functions for data definition, manipulation and control. It includes a centralized dictionary, tuning facilities and open architecture. It also provides 24x7 processing and exploits the IBM Parallel Sysplex environment for data sharing and workload balancing. Client/server and web access is supported for ODBC/JDBC-compliant tools.

Cloudscape
Company:
IBM
IBM Cloudscape™ is a relational database written entirely in Java and supported on any certified Java Virtual Machine (JVM). Running Cloudscape requires a certified JVM and at least 4MB of available memory. Cloudscape has been tested on the following platforms.

NatCDC
Company:
Treehouse Software
While the primary purpose of the PLOG is for use as a data recovery mechanism in the case of a system failure affecting ADABAS, the data contained in the PLOG is ideal for use as a source in providing Change Data Capture (CDC) from ADABAS. The problem is that PLOG data must be carefully processed in order to convert it into a usable format.Fortunately: Software AG delivers utility programs with ADABAS that are specifically designed to work with PLOG data. Unfortunately: These existing utilities fall very short of providing a complete answer for delivering PLOG data into a usable format.Many organizations requiring CDC from ADABAS have hand-written custom processing to leverage these existing PLOG utilities. This hand-written approach, however, does not lend itself to the rapid delivery of needed CDC. Furthermore, once these custom CDC processes are written, they become in-house applications that must be maintained if file layouts change (which they often do), and/or the requirements of CDC changes (which they always do).NatCDC is the NATURAL answer that leverages the PLOG utilities Software AG provided with ADABAS, and provides for the graphical generation of NATURAL programs to handle the output of these utilities to produce usable CDC from ADABAS.

NatQuery
Company:
Treehouse Software
In examining ways to handle extraction requests for data that resides in ADABAS, it is impossible to overlook the fact that Software AG developed NATURAL specifically to provide for ADABAS data reporting. As a result, it is virtually a given that your organization has historically solved the issue of extracting data from ADABAS by utilizing NATURAL programs.However, using NATURAL to provide for data extraction from ADABAS requires expertise and time, especially when the required NATURAL processes are hand-written. Once created, more expertise and time will be required in order to handle any needed maintenance or enhancements.The answer to this problem is simple: a full GUI tool that has NATURAL data extraction intelligence built in, and the automatic ability to quickly "learn" the nuances of your ADABAS source files. The combination of intelligence and file-specific knowledge then provides the expertise needed to allow a user to intelligently generate and execute data extraction processes without any need for programmer or IT intervention.NatQuery is the NATURAL answer to ADABAS data extraction and replication that leverages the inherent power of what NATURAL was designed to do, while at the same time removing the need for any in-depth training and/or knowledge of NATURAL, ADABAS or any of the other intricacies of the operating system on which NATURAL and ADABAS reside.You already know how well NATURAL works with ADABAS. NatQuery simply allows your organization to use NATURAL even more effectively than you do today.

Supra SQL
Company:
Cincom
SUPRA Server SQL, Cincom's relational database management system, provides access to data in open and proprietary environments through industry-standard SQL for standalone and client/server application solutions. It provides high-volume, update-oriented processing without consideration for how or where data is stored.

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