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ETL (Extract, Transform, and Load) is the process of data extraction from various sources likes databases, files, folders, etc, and transforming this data into structured and formated data to use this across the organization. The structured data is stored in data warehouses and can be loaded to use for various Business Intelligence (BI) purposes. ETL tools help you automate the entire process straight from the ingestion of data from any source, clearing the data tables, and transform to configurable and immediately queryable formats. ETL tools can help to seamlessly connect to any BI tool and start visualizing, analyzing, and sharing data insights in minutes. ETL tools are fully customizable enterprise solutions and required for handling complex data structures. Cloud-based ETL tools are scalable as you grow and overweigh the obstacles and complexities countered in a standard deployment.
Matillion ETL is a purpose-built tool designed to transform various cloud data warehouses. The software enables its users to take advantage of the flexibility, economics, and power of the cloud as it integrates with Google BigQuery, Amazon Redshift, and Snowflake. Users can use the software to load... read more
Panoply enables its users to sync and store their data from various sources while exploring their data with SQL or visualize it with their preferred BI and analytics tools. The software is an easy to use platform that enables users to collect and combine their data without any technical knowledge... read more
Alooma is an enterprise data pipeline that enables the data teams to have control and visibility while it brings data from various data silos into Bigquery in real-time. The software can stream data by integrating with various accessible data sources such as transactional databases, sales, and... read more
Xplenty is a simple yet powerful data integration platform that does not require coding and deployment. Implement an ETL or ELT solution using an intuitive graphic interface. Orchestrate and schedule data pipelines utilizing Xplenty’s workflow engine. Use Xplenty’s rich expression language,... read more
Skyvia is a robust cloud-based data platform that provides companies and organizations with a simple yet comprehensive solution for data integration, data backup, query, and data connection. Connect your cloud, on-premise, and flat data to automate workflows. Automate data collection from disparate... read more
CloverDX Data Integration Platform helps mid to large organizations to design, automate and operate data-intensive jobs at scale. Developer-friendly open architecture and flexibility let you package and hide the complexity for non-technical users. Deploy and publish data in any environment, cloud,... read more
Stitch is a cloud-first, open-source and developer-focused ETL tool that helps its users to move their data faster. The software enables its users to push their data in the software from anywhere and in their own terms. Users can extract data from anywhere through the Singer open-source framework... read more
Dexi software is a Competitor Commerce Intelligence used to extract your competitors’ data and visualize that data through dashboard. Capture structured data from any source including websites without coding. The software offers Machine Learning services used to transform and prepare data with... read more
Rivery is a cloud-native, fully-managed ELT platform that empowers companies of all sizes around the world to consolidate, orchestrate, and manage internal and external data sources with ease and efficiency. Create your data pipeline in minutes, not hours or days. Harness Rivery’s pre-built... read more
Fivetran is a platform built for analysts and it helps them to replicate their data with no configurations. The software provides its users with a robust automated pipeline equipped with standardized schemas that allow a user to focus more on analytics rather than ETL. Users can avoid pipeline... read more
ETL Tools or Extract, Transform and Load tools are required in the data warehousing process. As the name indicates, it consists of three phases: extracting the data from various structured or unstructured sources, then transform data or structuring the data to make it uniform and comply with certain standards, and lastly, loading it into the database. In a way, it's a database management system, because once you've archive data, you could use it for future purposes as well as run analytics to generate insights. There are a lot of open-source ETL tools as well as commercial ETL software, and choosing between them depends upon your needs.
For a software to be in ETL tools category, it must:
