ETL Tools reviews by real, verified users. Find unbiased ratings on user satisfaction, features, and price based on the most reviews available anywhere.
Products classified in the overall ETL Tools category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small Business ETL Tools to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Small Business ETL Tools category.
In addition to qualifying for inclusion in the ETL Tools category, to qualify for inclusion in the Small Business ETL Tools category, a product must have at least 10 reviews left by a reviewer from a small business.
Stitch Data Loader is a simple, powerful ETL service for businesses of all sizes, up to and including the enterprise. More than 3,000 companies use Stitch to move billions of records every day from SaaS applications and databases into data warehouses and data lakes, where it can be analyzed with BI tools. Stitch, Inc. is a division of Talend.
Skyvia is a universal SaaS (Software as a Service) data platform for quick and easy solving a wide set of data-related tasks with no coding: data integration, automating workflows, cloud data backup, building reports and dashboards, data management with SQL, CSV import/export, creating OData services, etc. It supports a number of cloud applications and databases, and requires no software except a web browser.
Adverity is an intelligent marketing analytics platform specialized in enabling data-driven marketing teams to make better decisions and improve performance, faster and easier. By transforming siloed data into actionable insight, Adverity reduces the complexity in demonstrating the return on investment of multichannel campaigns. Through automating data integration from hundreds of sources, our vendor-agnostic, end-to-end platform delivers a single view of marketing performance across your busin
Xplenty is a cloud-based ETL solution providing simple visualized data pipelines for automated data flows across a wide range of sources and destinations. The powerful on-platform transformation tools allow its customers to clean, normalize and transform their data while adhering to compliance best practices as well. Users can read and write data to/from on-premise locations, private cloud environments, public cloud providers and over the internet.
StarfishETL for Integration: StarfishETL provides seamless data integration from one database to another - whether hosted, on-premises, or in the Cloud. It links multiple databases and systems with extreme flexibility, power, and speed, and delivers the insights to engage your customers and prospects on a whole new level. StarfishETL can integrate your CRM with email, ERP, social media, marketing automation systems, and even specialized databases. StarfishETL for Migration: StarfishETL is loade
Your ultimate next-gen agile, data delivery platform with modern cloud data warehouse & lake. Create and manage all of your data workloads on one platform. Boost the productivity of your data professionals and shorten your time to value in order to deliver modern and integrated data solutions swiftly from anywhere in your organization. We build the best data models around various source API’s, to ensure you will get all of your data and can query the non relational source like API/Json/XML w
ETL stands for extract, transform, and load. Organizations use this process to collect data from various sources, clean it for different applications in a staging system, and upload it to a specific database. Sometimes, organizations simply need to extract data from a platform for other uses as well. ETL tools provide a variety of functionalities to facilitate this process and mitigate issues with data management.
ETL tools work through a process of extraction, transformation and loading to help simplify the data management process. First information is extracted from internal databases, external databases, applications and systems. Next, the user converts the inputs into a more suitable format so it can be stored appropriately and easily queried and analysed later. Lastly, the polished file is typically loaded into a data warehouse or other database where it can be processed by different business intelligence software or analytics software that can be run against it at some point in the future.
ETL tools have proven to be extremely valuable to businesses when it comes to improving the quality of the information stored and analyzed by businesses. Data migration, merging, and warehousing are all important aspects of the data collection and analysis process. All these processes are greatly improved when paired with ETL tools. If they want, users can manually query information when it becomes available and store the results in a database. Alternatively, they can build their own pipeline, however, those options typically come with an additional cost.
Key Benefits of ETL Tools
ETL tools make the process of moving and manipulating data much easier; without them, employees would have to be experts in every field they use information from. Furthermore, employees would need to code all that information by hand. The typical type of data mitigation can consume copious amounts of money and resources. Additionally, it can create hours worth of additional work for developers who must constantly update those computations.
Another reason to use ETL software is the fact that creating an independent data pipeline can be extremely confusing and time consuming as the amount of information stored in a database increases.
Scalability — One reason that ETL tools should be considered in the operation of a business is that they allow for easy scaling. A successful business will grow and so will the amount of information needed for its sustainability.
Professional grade — One alternative to an ETL is for a company to create its own pipeline, but that can be problematic as the amount of information in a database increases. Pipelines need to constantly be edited and modified to handle datasets that are consistently expanding over time but also change the way information is processed. This approach can devour hours of time and is prone to human error; ETL tools save companies the time and hassle that comes with a proprietary pipeline.
Efficiency — By removing the need for constant maintenance, ETL tools improve productivity and allow developers to focus their energy on growing and managing websites or applications associated with their company.
The main users of ETL tools tend to be ETL developers, admins, and database administrators (DBAs).
ETL developers — ETL developers are responsible for creating ETL software and implementing it within a company. They periodically update the software as needed and modify how data is processed when necessary. In addition to creating ETL systems, developers manage ETL systems to ensure they are functioning properly and efficiently.
ETL admins — ETL admins have a wide range of responsibilities including performing standard importing of data and exporting of data, reporting the health and status of databases, backing up and recovering an ETL system, fixing bugs and optimizing the ETL software, and establishing roles and permissions for users in designated databases.
Database administrators — Usually employed with larger companies, database administrators are responsible for regulating and storing information. Their duties include designing databases, migrating information, and cleaning it as needed before it’s dumped into a repository. Typically, but not always, the DBA will be responsible for extracting all data from available sources before loading it into another system. However, they will always be responsible for transforming it. When adding new information to a database, there’s usually some differences in either the format of the file or its content which needs to be adjusted to properly synchronize with the rest of the information in the target database.
ETL tools are pretty straightforward but one variation of the extract, transform, and load process is ELT.
ELT — The ELT process differs in that users load the information into the database before they start the transformation phase. This change removes the staging system from the standard ETL process. The upside to this procedure is that it allows users to store raw data. The standard ETL process requires that all information and data be restructured prior to uploading. This is beneficial when a user doesn’t have time to clean information; they can still input their information into storage where it can be reviewed and modified later.
This category has many different platforms to choose from, all with slightly different offerings. However, most ETL tools have the following features.
Basic ETL functions — ETL tools must be able to extract data, transform it to fit the needs of the end user, and have the functionality to load data into a data warehouse.
Cloud-based — While some ETL tools are compatible with on-site systems, it’s essential they are able to integrate with cloud-based systems. Cloud-based systems have many advantages including seamless updates and the ability for users to easily collaborate across departments.
Connectors — Connectors are tools that allow various different software sources to integrate in one place. They act as a translator between software products so that software can be placed in a common format for easy integration. This is important as ETL tools need to transform data regardless of the source. This means that even with various origins, data should be convertible with the ETL software.
Visual designer — Almost all ETL tools integrate with a visual designer which is an application that allows users to utilize drag and drop functionality to design their system. This user-friendly interface enables users to design an ETL system with little to no coding.
Archive data — It’s essential that ETL tools backup data in the event that it needs to be restored. The data can also be easily stockpiled for future analysis. This is helpful for users that work with large amounts of data, as it can be easy to lose track of important data.
Record integration data — ETL tools must record integration data for every transaction. In the event that an audit needs to take place, it’s easier for users to pull the relevant data. Additionally, this helps identify when an issue was introduced to a system.