![]() All developments are stored in the form of metadata. Microsoft SQL Server, Azure Synapse Analytics, Azure SQL Database and Snowflake are currently supported as target environments. The developed models can then be deployed to the appropriate environment at the push of a button. TimeXtender emphasizes simplicity and brings with it a no-code/low-code development interface. This provides a clear overview and reduces errors. Structures and relationships are arranged along the process on one screen. TimeXtender views the data warehouse as a whole, rather than as single pipelines. The user is guided step-by-step from data ingestion and building a data warehouse model to building data marts. To extract data, TimeXtender supports over 230 different data sources, the most common of which are SQL Server, SAP, Dynamics, Oracle, DB2, REST and CSV. Its data model is highly configurable and supports most modeling styles, in particular Inmon and Kimball. ![]() Currently, implementations are mostly deployed on-premises. For cloud, it is closely associated with Microsoft Azure and more recently with Snowflake. It supports on-premises, cloud and hybrid deployment models. TimeXtender consists of TimeXtender Portal, TimeXtender ODX Service and TimeXtender Desktop. In 2017, TimeXtender moved to a subscription-only model, making it a software as a service (SaaS) company. However, it also supports custom code if necessary. TimeXtender’s main goal is to empower non-technical users by automatically generating code to extract data. ![]() TimeXtender overlays the data storage infrastructure, connects to any data source, and integrates data preparation capabilities that users need into a single, unified solution. Using TimeXtender, organizations can easily integrate their siloed data into a data lake, model a data warehouse, and define data marts for multiple BI tools and endpoints. TimeXtender is a low-code data estate builder. More than 3,300 customers use TimeXtender, which is sold exclusively via a worldwide network of over 200 partners. The company now has 72 employees internationally. In the following years, the company embarked on technology partnerships with several large companies and increased its activities in the United States. Having identified the need for an automated solution to extract data with the least possible hand-coding and one which reduces or eliminates repetitive tasks, TimeXtender was founded in 2006. Its headquarters are located in Aarhus (Denmark) and Washington (USA). TimeXtender is a software provider specializing in data warehouse automation. ![]()
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