IRI RowGen
Stop relying on confidential production data. Masked data may not be realistic or robust enough either. IRI RowGen uses your metadata and business rules to make better test data. Persistent or virtual test sets improve DB/ETL prototypes and speed DevOps.
Use the high quality, high volume database, file, report or DataVault targets you create and populate with RowGen's graphical job wizards in in the IRI Workbench IDE (built on Eclipse) to stress-test and future-proof new software and systems. RowGen lets you customize data formats, volumes, ranges, distributions, and other properties on the fly or with re-usable rules that support major goals like application testing and subsetting.
RowGen uses the IRI CoSort engine to deliver the fastest generation, transformation, and bulk-load movement of big test data on the market. You can also leverage RowGen functionality in CI/CD pipelines like GitLab, cloned DBs via Windocks et al, and purpose-built TDM hubs from Cigniti or ValueLabs.
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Astera Data Warehouse Builder
Astera Data Warehouse Builder is an AI-powered platform that enables organizations to design, build, and deploy production-ready data warehouses through a conversational, chat-based interface. It allows users to go from prompt to fully operational data warehouse without writing code. The platform uses agentic AI to automate data modeling, ETL/ELT pipeline creation, and ongoing maintenance. Astera supports rapid data consolidation from databases, files, cloud services, and other sources into a unified warehouse. With self-driving automation, it significantly reduces build time, ownership cost, and maintenance effort. The solution supports modern architectures, legacy migrations, and advanced modeling techniques. Astera Data Warehouse Builder helps teams launch reliable, analysis-ready data warehouses in days instead of months.
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biGENIUS
biGENIUS automates the entire lifecycle of analytical data management solutions (e.g. data warehouses, data lakes, data marts, real-time analytics, etc.) and thus providing the foundation for turning your data into business as fast and cost-efficient as possible. Save time, efforts and costs to build and maintain your data analytics solutions. Integrate new ideas and data into your data analytics solutions easily. Benefit from new technologies thanks to the metadata-driven approach. Advancing digitalization challenges traditional data warehouse (DWH) and business intelligence systems to leverage an increasing wealth of data. To accommodate today’s business decision making, analytical data management is required to integrate new data sources, support new data formats as well as technologies and deliver effective solutions faster than ever before, ideally with limited resources.
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Amazon Redshift
Amazon Redshift is a cloud-based data warehouse solution from AWS designed to deliver high-performance analytics and support modern AI-driven workloads. The platform enables organizations to analyze large volumes of structured and unstructured data across data warehouses, data lakes, and third-party sources using SQL. Redshift is built for scalability and cost efficiency, offering improved throughput and price-performance with AWS Graviton-powered RG instances and Redshift Serverless options. The solution also supports near real-time analytics through zero-ETL integrations that connect operational databases, streaming services, and enterprise applications without complex data pipelines. Amazon Redshift integrates with Amazon SageMaker and Amazon Bedrock to support advanced machine learning, analytics, and generative AI use cases.
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