Creating data pipelines is made easier with a low-code interface , I am able to drag-and-drop data sources, transformations and destinations visually, no more fumbling with complex scripts.

Integration is also seamless with pre-built connectos for most popular databases and apps. The simplicity of the design makes its implementation easy and new data flows intuitive .

TimeXtender has become my tool of choice for repititive data tasks in our daily workdorce.

Even though it is designed to be user-friendly, having customer support available quickly is still important. Review collected by and hosted on G2.com.

When compared to other data management platforms, its functionalities are seems to be limited , when dealing with extremely complicated data structure or schema modifications , this is challenging. Review collected by and hosted on G2.com.

Our IT department had implemented in our workforce.

Its a game changer for our organization, the interface is remarkably user-friendly even for beginners , I did't have to request for large coding from our development team to build data pipelines, and the drag-and-drop feature facilitated connections to different data sources in our organization. It took us only a short period of time to get integrated and implement TimeXTender as ou IT department installed it without trouble or delay.

Presentaly we use it every day when doing monotonous task such as cleansing and transforming information in databases.

That gives us an oppornutiy to study the numbers and the patterns they form so that we can compu with valuable insights from them.

The customer support team is great, their expertise comes in handy whenever there queries that need clarification or any problem that require solving together. Review collected by and hosted on G2.com.

Though it is easy to use , but there are some recommendations to like advance features ar not easy to learn, also for very complex data requirements , TimeXtender do not have all functionalities that are available in few higher-end data management solutions. Review collected by and hosted on G2.com.

Easy to install, configure and lot of features and multiple options to integrate data Review collected by and hosted on G2.com.

Nothing to dislike and have not seen any negative till date Review collected by and hosted on G2.com.

TimeXtender helps you to quickly and consistently build Data Warehouses, because it generates the code for you and shows - through a clear interface and lineage - exactly what you (or a colleague) build. This is much faster than coding yourself, much better (consistent code) and much clearer (clear interface and documentation). Review collected by and hosted on G2.com.

TimeXtender runs on the Microsoft stack. All other sources can be connected and you can use Snowflake, but you need an Azure/On-prem stack. Review collected by and hosted on G2.com.

The licencing model and the rapidity to develop medium complex solutions. Ideal for Proof of Concepts. Review collected by and hosted on G2.com.

The tool is difficult to configure in case of complex BI requirements. Moreover it is difficult to find some good support by product partners. Most of the existing client cases are simple and for little to medium complex companies.

The dataquality is delegated to developers: no dataquality feature is ready-to-use, it shall be added as custom pre-processing or post-processing procedure. Review collected by and hosted on G2.com.

Ease of use. Easy to connect several data sources, especially after the implementation of the TX Rest connector. This enables users to set up API connections more easy than through the CDATA connector with the necessary RSD files. Although some improvements can still be made. The drag and drop interface easily allows for transformations with low-code/no code and easily integrates the incremental and history features when necessary in the datawarehouse. The customer support is easy to reach, responds quickly and helpfully. Furthermore, the integration of the Orchestration, orginally from Exmon, now allows for an integrated and holistic way of loading all data, from every datasource up to the final data visualization tooling. Next to that, TX now will keep the v20 version alive, which is a lifesaver for some of our clients that do not want their repository ending up somewhere in the cloud. Review collected by and hosted on G2.com.

The new (6xxx) version of TX hasn't been an improvement in all aspects of the new functionalities; some functionalities are lost. The ODX server and the fact that the repository is not available anymore, leads to loss of valuable information in case of connectivity issues and/or errors. The ability to simply load from ODX all the way up to semantic models in one simple execution package is less efficient, due to the data on demand functionality. We have had cases where loading a full ODX load and then the full datawarehouse was more efficient in terms of time than when using the data on demand functionality. Review collected by and hosted on G2.com.

Good software, not complicated easy implementation

The help received always good

Customer support good Review collected by and hosted on G2.com.

Not really much to dislike, maybe sometimes it takes time to answer my requests but that's not really something that can be changed Review collected by and hosted on G2.com.

All the core DWH tasks are automated, logical set up of the layers. Review collected by and hosted on G2.com.

sometimes it behaves unexpected, some datasource connectors need manual labor when working with large datasets Review collected by and hosted on G2.com.

TimeXtender allows you to quickly set-up a data warehouse. It's relatively easy to extract data from simple sources and load them into your data warehouse. Building reports on top of data in your TimeXtender data warehouse is also easy to establish. Review collected by and hosted on G2.com.

Loading more complex sources into TimeXtender is a challenge. If you have an easy to use REST API it's not very difficult, but if you need to apply pagination for example it requires more technical knowledge. Another thing is the collaboration. Collaboration itself is fine, but it's sometimes difficult to develop small pieces of code. If I would start working on a table and the project would be pushed to another environment it will also take my changes. Branching would be nice. Review collected by and hosted on G2.com.

Extensive community site with helpful articles about all kinds of topics. Very helpful Customer Support Review collected by and hosted on G2.com.

It's a new tool for me to learn, so it is probably more an issue of getting used to. But the sources, tables and views in the different stages can be overwhelming and difficult to sort / group Review collected by and hosted on G2.com.