Denodo
The core technology to enable modern data integration and data management solutions. Quickly connect disparate structured and unstructured sources. Catalog your entire data ecosystem. Data stays in the sources and it is accessed on demand, with no need to create another copy. Build data models that suit the needs of the consumer, even across multiple sources. Hide the complexity of your back-end technologies from the end users. The virtual model can be secured and consumed using standard SQL and other formats like REST, SOAP and OData. Easy access to all types of data. Full data integration and data modeling capabilities. Active Data Catalog and self-service capabilities for data & metadata discovery and data preparation. Full data security and data governance capabilities. Fast intelligent execution of data queries. Real-time data delivery in any format. Ability to create data marketplaces. Decoupling of business applications from data systems to facilitate data-driven strategies.
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Rocket Data Virtualization
Rocket® Data Virtualization (RDV) provides real‑time, zero‑copy access to mainframe and distributed data through a unified SQL abstraction layer. It lets organizations query and combine heterogeneous sources without data movement or replication, supporting analytics, AI/ML, and cloud‑native workloads while maintaining system‑of‑record governance. RDV connects to Db2, VSAM, IMS, Adabas, Datacom, and relational or cloud stores via JDBC/ODBC. Optimizations such as predicate pushdown, parallel execution, and adaptive caching deliver low‑latency access with minimal production impact. Security includes encryption, row/column‑level controls, data masking, and SAF/RACF integration, with high‑availability options for continuity. By keeping data in place and offloading read‑heavy workloads, RDV reduces mainframe CPU usage and enables governed enterprise data access without ETL or replication.
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Rocket Data Replicate & Sync
Rocket® Data Replicate and Sync (RDRS) provides high performance, sub-second change data capture (CDC) and bidirectional replication across mainframe, distributed, and cloud environments. It supports a broad set of enterprise sources and modern cloud targets, automatically capturing and applying data changes while adapting formats for each destination.
The platform incorporates enterprise-grade encryption, secure connectivity such as site-to-site VPN and SAF controls, and built-in recovery and rollback to maintain data integrity across hybrid environments. By offloading data transformations to cloud compute, RDRS helps reduce mainframe CPU consumption while ensuring analytics, AI/ML, and operational applications receive current data. Supported sources include Db2, VSAM, IMS, Adabas, and Datacom, with delivery to targets such as Kafka, Snowflake, AWS, and Azure—without custom code or operational disruption.
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AWS Glue
AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development. AWS Glue provides all the capabilities needed for data integration so that you can start analyzing your data and putting it to use in minutes instead of months. Data integration is the process of preparing and combining data for analytics, machine learning, and application development. It involves multiple tasks, such as discovering and extracting data from various sources; enriching, cleaning, normalizing, and combining data; and loading and organizing data in databases, data warehouses, and data lakes. These tasks are often handled by different types of users that each use different products. AWS Glue runs in a serverless environment. There is no infrastructure to manage, and AWS Glue provisions, configures, and scales the resources required to run your data integration jobs.
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