### Contents

- [**Articles**](#resources-articles)
- [**Glossary Terms**](#resources-glossary_terms)
- [**Discussions**](#resources-discussions)
- [**Reports**](#resources-reports)

# Data Warehouse Automation Software Resources

##### Articles, Glossary Terms, Discussions, and Reports to expand your knowledge on Data Warehouse Automation Software

Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find [articles](#resources-articles) from our experts, [feature definitions](#resources-glossary_terms), [discussions](#resources-discussions) from users like you, and [reports](#resources-reports) from industry data.

[ContentsExpand/Collapse Contents](#)
- [**Articles**](#resources-articles)
- [**Glossary Terms**](#resources-glossary_terms)
- [**Discussions**](#resources-discussions)
- [**Reports**](#resources-reports)

## Data Warehouse Automation Software Articles

[![Introducing G2’s Latest Category: Data Warehouse Automation](https://learn.g2.com/hubfs/Data.jpg "Introducing G2’s Latest Category: Data Warehouse Automation")](https://www.g2.com/articles/introducing-g2s-latest-category-data-warehouse-automation)

[
### Introducing G2’s Latest Category: Data Warehouse Automation
](https://www.g2.com/articles/introducing-g2s-latest-category-data-warehouse-automation)
The data warehouse software market is booming. According to a report by Yellowbrick, it is estimated that the size of this market will be over $30 billion by 2025.

[
 ![Preethica Furtado](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Preethica Furtado")
PF

](https://learn.g2.com/author/preethica-furtado)

by Preethica Furtado

## Data Warehouse Automation Software Glossary Terms

[![Data Lake Vs. Data Warehouse](https://learn.g2.com/hubfs/data%20lake%20vs%20data%20warehouse.png "Data Lake Vs. Data Warehouse")](https://www.g2.com/glossary/data-lake-vs-data-warehouse)

[Data Lake Vs. Data Warehouse](https://www.g2.com/glossary/data-lake-vs-data-warehouse)

A data lake stores unfiltered structured and unstructured data, whereas a data warehouse holds cleansed structured data. Learn about their differences.

by Sudipto Paul

[![Data Warehouse](https://learn.g2.com/hubfs/G2CM_GI758_Glossary_Article_Images-%5Bdata_warehouse%5D_V1b.png "Data Warehouse")](https://www.g2.com/glossary/data-warehouse-definition)

[Data Warehouse](https://www.g2.com/glossary/data-warehouse-definition)

A data warehouse is a central repository of information where data is stored and used for decision-making. Learn about its types and characteristics.

by Sagar Joshi

## Data Warehouse Automation Software Discussions

0

Question on: dbt
[What is DBT data Modelling?](/discussions/what-is-dbt-data-modelling)

What is DBT data Modelling?

dbt data modeling is not a thing. Dbt is a transformation tool that makes it easier to implement data modeling techniques like snowflake, data vault etc. 

Answered: Tyler Hillery on February 27, 2023

https://www.getdbt.com/analytics-engineering/modular-data-modeling-technique/

Answered: Peter Fitton on February 28, 2023

[See more answers (1)](javascript:void(0);)

[Your answer](/discussions/what-is-dbt-data-modelling/comments/new?remote=true)

0

Question on: Qlik Sense
[What is the difference between QlikView and qlik sense?](/discussions/what-is-the-difference-between-qlikview-and-qlik-sense)

What is the difference between QlikView and qlik sense?

2 separate but similar tools from the same vendor with the same purpose . Sense is the younger product, has better optics and is the future technology strategy.

Answered: Lars Roettgers on December 14, 2022

[Your answer](/discussions/what-is-the-difference-between-qlikview-and-qlik-sense/comments/new?remote=true)

0

Question on: timextender
[Why use TimeXtender?](/discussions/why-use-timextender)

Why use TimeXtender?

Accelerate Azure Synapse Analytics TimeXtender accelerates the creation, deployment and management of a complete modern data estate on Azure Synapse Analytics. Its no-code development environment shortens development times, simplifies testing and automates multiple manual processes. Automated Data Integration TimeXtender helps overburdened data teams increase their productivity and erase backlogs. It offers over 250+ pre-built data connectors and a graphical user interface that reduces manual scripting, while still enabling data engineers to write custom code, if desired. Data Warehouse Automation Data Warehouse Automation helps consolidate and organize the diverse tasks integral to the process of designing, developing, and deploying a data warehouse. It accelerates much of the work that accompanies the design, deployment, and maintenance of data warehouse systems through graphical interfaces, code generation and automation. Data Warehouse Modernization Legacy data warehouses are frequently a fragile hodge-podge of scripts and code. Make a small change in a script or to the order in which scripts run and the whole thing comes crashing down. Plus the data warehouse platform is several releases out of date. Just upgrading to the latest version of the same platform requires significant code re-work and testing. By refining the construction of your data warehouse using TimeXtender, you enable migration to modern data platforms – without writing code. Migrate to the cloud and a modern data estate Business is moving to the cloud. But your analytics are all on-premises. You keep running out of space for data and are trying not to purchase more on-premises hardware. But moving analytics to the cloud isn’t as simple as moving your data to the cloud. Code written to populate your data warehouse is specific to your on-premises database at a specific network location. A move to the cloud means reworking all your existing data warehouse code – unless you use TimeXtender. Building a Data Warehouse for SAP If your business runs on SAP, you know that it is a huge system. Building a data warehouse for SAP is a huge task. But with TimeXtender, you can eliminate much of the complexity through its no-code development environment. TimeXtender allows you to define data movement from SAP into your data warehouse without writing code. You can schedule the frequency of data updates and we’ll optimize the execution of data loading. You can also define historical records for the data warehouse for time-based analytics.

Answered: Juan Jose Keena on October 20, 2022

[Your answer](/discussions/why-use-timextender/comments/new?remote=true)

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## Data Warehouse Automation Software Reports

Grid® Report for Data Warehouse Automation

Summer 2026

G2 Report: Grid® Report

Momentum Grid® Report for Data Warehouse Automation

Summer 2026

G2 Report: Momentum Grid® Report

Grid® Report for Data Warehouse Automation

Spring 2026

G2 Report: Grid® Report

Momentum Grid® Report for Data Warehouse Automation

Spring 2026

G2 Report: Momentum Grid® Report

Grid® Report for Data Warehouse Automation

Winter 2026

G2 Report: Grid® Report

Momentum Grid® Report for Data Warehouse Automation

Winter 2026

G2 Report: Momentum Grid® Report