### Contents - [**Articles**](#resources-articles) - [**Glossary Terms**](#resources-glossary_terms) - [**Discussions**](#resources-discussions) - [**Reports**](#resources-reports) # ETL Tools Resources ##### Articles, Glossary Terms, Discussions, and Reports to expand your knowledge on ETL Tools 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) ## ETL Tools Articles [![What Is a Data Pipeline? Types, Solutions, and Examples](https://learn.g2.com/hubfs/Data%20pipeline.png "What Is a Data Pipeline? Types, Solutions, and Examples")](https://www.g2.com/articles/data-pipeline) [ ### What Is a Data Pipeline? Types, Solutions, and Examples ](https://www.g2.com/articles/data-pipeline) Say you manage a sizable online bookshop. It’s always open. Every minute or second, customers place and pay for orders. Your website has to quickly execute numerous transactions using modest data, such as user IDs, payment card numbers, and order information.  [ ![Samudyata Bhat](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Samudyata Bhat") SB ](https://learn.g2.com/author/samudyata-bhat) by Samudyata Bhat [![What’s in a Name: ETL, ELT, and Reverse ETL?](https://learn.g2.com/hubfs/ETL%20G2.jpg "What’s in a Name: ETL, ELT, and Reverse ETL?")](https://www.g2.com/articles/etl-elt-and-reverse-etl) [ ### What’s in a Name: ETL, ELT, and Reverse ETL? ](https://www.g2.com/articles/etl-elt-and-reverse-etl) With the advent of automation, data volume, size, and speed are constantly evolving. The bigger concern that data teams face now is managing this enormous amount of data. Rising amounts of data bring about the need to warehouse it. The data warehousing process consists of three basic steps: extract, transform, and load, generally performed using ETL tools. [ ![Shalaka Joshi](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shalaka Joshi") SJ ](https://learn.g2.com/author/shalaka-joshi) by Shalaka Joshi [![All You Need to Know about G2’s Reverse ETL Category](https://learn.g2.com/hubfs/reverse%20ETL-PF.jpg "All You Need to Know about G2’s Reverse ETL Category")](https://www.g2.com/articles/all-you-need-to-know-about-g2s-reverse-etl-category) [ ### All You Need to Know about G2’s Reverse ETL Category ](https://www.g2.com/articles/all-you-need-to-know-about-g2s-reverse-etl-category) Remember that online newspaper or magazine subscription you purchased and promised to read daily but never did? Your email is now cluttered with great information, but you barely have the time to read through it. This sums up the situation regarding data. Due to the enormous amount of data being generated, many companies cannot make the best use of it. Managing these considerable data volumes is daunting, and businesses may never use some of them. The cost of this, however, is companies miss out on the ability to generate priceless insights about their business.  [ ![Preethica Furtado](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Preethica Furtado") PF ](https://learn.g2.com/author/preethica-furtado) by Preethica Furtado [![How Data Integration Helps Make Strategic Decisions](https://learn.g2.com/hubfs/G2CM_FI117_Learn_Article_Images-%5BData_Integration%5D_V1a.png "How Data Integration Helps Make Strategic Decisions")](https://www.g2.com/articles/data-integration) [ ### How Data Integration Helps Make Strategic Decisions ](https://www.g2.com/articles/data-integration) Distributed data is like scattered pieces of a puzzle.  [ ![Sagar Joshi](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Sagar Joshi") SJ ](https://learn.g2.com/author/sagar-joshi) by Sagar Joshi [![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 Show More ## ETL Tools Glossary Terms [![Quality Assurance vs. Quality Control](https://learn.g2.com/hubfs/Quality%20Assurance%20Vs.%20Quality%20Control.png "Quality Assurance vs. Quality Control")](https://www.g2.com/glossary/quality-assurance-vs-quality-control) [Quality Assurance vs. Quality Control](https://www.g2.com/glossary/quality-assurance-vs-quality-control) Confused by quality assurance vs. quality control? QA prevents defects, and QC identifies them. Read on to learn all the differences between these terms. by Washija Kazim [![Data Integration](https://learn.g2.com/hubfs/G2CM_GI762_Glossary_Article_Images-%5Bdata_integration%5D_V1a.png "Data Integration")](https://www.g2.com/glossary/data-integration-definition) [Data Integration](https://www.g2.com/glossary/data-integration-definition) Data integration combines data from different sources so users can access it from a common database. Learn more about its techniques and benefits. by Sagar Joshi ## ETL Tools Discussions 0 Question on: Databricks [What is Lakehouse in Databricks?](/discussions/what-is-lakehouse-in-databricks) What is Lakehouse in Databricks? Lakehouse is a new and open data management architecture solution that combines the best features of the data lake and warehouse. Answered: Bhupendra Rawat on February 28, 2024 Traditional data warehouses used highly structured data that was high-cost but easy to use. Data lakes handles unstructured data at low cost in a way that was difficult to use. Lake house makes it easy to handle both types of data in way that is almost as cheap as a traditional lake and almost as easy as a traditional warehouse Answered: Dr. Ernie Prabhakar on July 13, 2022 Lakehouse architecture is the merging of the data warehouse and data lake concepts into a single platform, with built-in support for lineage maintenance and ML. Answered: Brian Kichler on July 13, 2022 What is a Data Lakehouse? A data lakehouse is a new, open data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business intelligence (BI) and machine learning (ML) on all data. Answered: Cuong Alex on November 10, 2022 [See more answers (3)](javascript:void(0);) [Your answer](/discussions/what-is-lakehouse-in-databricks/comments/new?remote=true) 0 Question on: Fivetran [How else are you using Census?](/discussions/how-else-are-you-using-census) Hey all, we have been using Census for a while and I wanted to ask around how else are you using Census today? We are using Census mainly as a reverse ETL tool, but how else are you using Census today? Hey Nikolas, Would love other Census users to chime in, but there are lots of use cases our customers use us for :) In fact, we recently revamped our customer stories page so you can filter by use cases and integration to get inspired by how others are using Census. A good place to start would be filtering by destination tools that are used in your company, that are not already connected to Census: https://www.getcensus.com/customers#all-stories Some of the most interesting use cases we see that go beyond “customer 360” are around: \* Product-qualified lead scoring - a great way to help the sales team prioritize leads from trials. Learn more at https://www.getcensus.com/blog/product-qualified-leads-pqls-the-data-backed-process-to-help-you-increase-revenue \* Automated personalized marketing to drive product adoption - This could be joining third party data or data from enrichment tools (e.g. Clearbit) to drive more adoption of your product. One of our customers Crossbeam use this to automatically recommend integrations to their customers inside their product: https://www.crossbeam.com/blog/how-we-use-partner-data-conversions-product-led-growth/ Hope that’s helpful and let us know if you had a specific team in mind that you wanted use cases for. Answered: Roslyn Coutinho on August 12, 2022 [Your answer](/discussions/how-else-are-you-using-census/comments/new?remote=true) 0 Question on: Fivetran [How to sync data from Snowflake to Salesforce.](/discussions/how-to-sync-data-from-snowflake-to-salesforce) how do i sync data from Snowflake to Salesforce using Census. Hey Shannel, Thanks for the question. Syncing data from Snowflake to Salesforce is really simple with Census. Here is a video showing the end to end flow: https://www.youtube.com/watch?v=cxGYb9U9ePk&ab\_channel=Census Here are the docs to follow: https://docs.getcensus.com/destinations/salesforce At a high level the steps are: 1. Sign up for a free account of Census here: https://app.getcensus.com/ . Select “Sign up” tab. 2. Under “Connections” connect to your Snowflake instance. Instructions here: https://docs.getcensus.com/sources/snowflake 3. Then connect to your Salesforce instance https://docs.getcensus.com/destinations/salesforce 4. Create a Sync to send data from Snowflake to Salesforce. During the sync creation process you can choose what Snowflake fields you want to map to Salesforce fields. If you need any help please don’t hesitate to reach out at support@getcensus.com and we’d be happy to walk you through it. Answered: Roslyn Coutinho on May 26, 2022 [Your answer](/discussions/how-to-sync-data-from-snowflake-to-salesforce/comments/new?remote=true) - ‹ Prev‹ Prev - 1 - [2](/categories/etl-tools/resources?discussions_page=2) - [3](/categories/etl-tools/resources?discussions_page=3) - [4](/categories/etl-tools/resources?discussions_page=4) - [5](/categories/etl-tools/resources?discussions_page=5) - … - [70](/categories/etl-tools/resources?discussions_page=70) - [71](/categories/etl-tools/resources?discussions_page=71) - [Next ›Next ›](/categories/etl-tools/resources?discussions_page=2) ## ETL Tools Reports Mid-Market Grid® Report for ETL Tools Summer 2026 G2 Report: Grid® Report Grid® Report for ETL Tools Summer 2026 G2 Report: Grid® Report Enterprise Grid® Report for ETL Tools Summer 2026 G2 Report: Grid® Report Momentum Grid® Report for ETL Tools Summer 2026 G2 Report: Momentum Grid® Report Small-Business Grid® Report for ETL Tools Summer 2026 G2 Report: Grid® Report Enterprise Grid® Report for ETL Tools Spring 2026 G2 Report: Grid® Report Small-Business Grid® Report for ETL Tools Spring 2026 G2 Report: Grid® Report Mid-Market Grid® Report for ETL Tools Spring 2026 G2 Report: Grid® Report Grid® Report for ETL Tools Spring 2026 G2 Report: Grid® Report Momentum Grid® Report for ETL Tools Spring 2026 G2 Report: Momentum Grid® Report