Fivetran is an automated data movement platform that centralizes data from over 500 sources, including SaaS applications, databases, ERPs, and files, to data warehouses and lakes. It supports multiple deployment models for secure and reliable data t…
Etleap is a cloud ETL and data pipeline platform that simplifies deployment and accelerates data integration. It offers pre-configured ETL infrastructure, supports integration with databases, applications, files, and event streams, and includes a ro…
Amazon Kinesis is a fully managed data stream processing service on AWS that collects, buffers, and processes real-time data, enabling insights in minutes. It supports real-time analytics, IoT data analysis, and video analytics applications, handlin…
AWS Glue is a serverless data integration service that simplifies the ETL process by enabling easy discovery, preparation, and integration of data from diverse sources. It supports event-driven ETL, a data catalog, no-code ETL jobs, and data quality…
The StreamSets Platform empowers engineers to build and operate intelligent data pipelines for seamless integration across hybrid and multi-cloud environments. It provides a unified design experience for diverse integration patterns, resilient pipel…
TimeXtender is a metadata-driven, low-code data integration platform that automates data ingestion, preparation, and delivery across storage platforms. It streamlines workflows, reduces the need for manual coding, and supports secure, scalable data …
Ensures data integration with third-party tools. Deploy on a private or shared cloud to restrict raw data access while enabling server-side integrations that eliminate slow browser tags and duplicates.
RudderStack is a customer data platform that helps data teams collect, unify, and activate data. It offers event streaming, profile building, reverse ETL, data governance, and event transformations, and supports over 200 destinations. The warehouse-…
The Datavault Builder is a 4th generation Data Warehouse automation tool covering all aspects and phases of a DWH.
Design & Development Lifecycle Management Operations
Using a proven industry standards process you can start your agile Data Warehouse immediatelly and delivery business value in the first sprint.
It is built on True WYSIWYG principles . The modelled Logical Design is compiled in real time into a working technical implementation. Actually see and work with the current representation of your DWH.
Agile Development Rapidly deliver first results and quickly react to changes.
Simplification & Fast Development Easy to develop, run and maintain.
Full Auditability & Historization Keep track of source and time of changed data.
Automatic Documentation The model directly represents the current implementation.