Find the best ETL Software
Compare Products
Showing 1 - 20 of 130 products
Sort by
Reviews: Sorts listings by the number of user reviews we have published, greatest to least.
Sponsored: Sorts listings by software vendors running active bidding campaigns, from the highest to lowest bid. Vendors who have paid for placement have a ‘Visit Website’ button, whereas unpaid vendors have a ‘Learn More’ button.
Avg Rating: Sorts listings by overall star rating based on user reviews, highest to lowest.
A to Z: Sorts listings by product name from A to Z.
Pentaho
Pentaho
Pentaho is a business intelligence system designed to help companies make data-driven decisions, with a platform for data integration and analytics. The platform includes extract, transform, and load (ETL), big data analytics, vis...Read more about Pentaho
Domo
Domo
Domo puts data to work for everyone so they can multiply their impact on the business. Our cloud-native data experience platform goes beyond traditional business intelligence and analytics, making data visible and actionable with ...Read more about Domo
ClicData
ClicData
ClicData is a business intelligence (BI) dashboard solution designed for use primarily by small and midsized businesses. The tool enables end users to create reports and dashboards. A drag-and-drop interface designed for ease...Read more about ClicData
Integrator
Integrator
Etlworks is a modern, cloud-first, any-to-any data integration platform that scales with the business. It can connect to business applications, databases, structured, semi-structured, and unstructured data of any type, shape, and ...Read more about Integrator
Funnel
Funnel
Funnel is the leading marketing data hub designed to help marketing teams own their performance. With Funnel, marketers connect data from any marketing platform; store, organize, and share it with any visualization tool or data ...Read more about Funnel
Upsolver
Upsolver
Upsolver unlocks the value of business data by streamlining ETL operations and automating labor-intensive data engineering work. Analysts and developers can manage complex data structures such as IoT, app activity and server logs ...Read more about Upsolver
Adverity
Adverity
Adverity is the leading integrated data platform for connecting and managing all of the data you need to drive marketing performance. Unify all of your data to create a single source of truth over business performance. • 600+ da...Read more about Adverity
Nexla
Nexla
Nexla is a hybrid business intelligence (BI) solution that helps analysts, business users and data engineers across various sectors to integrate, automate and monitor their incoming and outgoing data flows. Features include high v...Read more about Nexla
Rivery
Rivery
Rivery is a cloud-based solution that provides small to large enterprises with business intelligence tools to manage and automate data pipelines. It comes with a centralized dashboard, which enables users to gain insights into bus...Read more about Rivery
Fivetran
Fivetran
Fivetran is a cloud-based business intelligence solution which caters to needs of analysts, data engineers and business intelligence teams. The solution is HIPAA compliant and provides connectors to pull data from multiple sources...Read more about Fivetran
Integrate.io
Integrate.io
Unify Your Data Stack: Experience the first no-code data pipeline platform and power enlightened decision making. Integrate.io is the only complete set of data solutions & connectors for easy building and managing of clean, secu...Read more about Integrate.io
Panoply
Panoply
Panoply is a cloud data platform that helps businesses source, store and manage data from various applications to streamline data analysis processes. Professionals can track the status of data sync as ‘running’, ‘pending’ or ‘sche...Read more about Panoply
Workato
Workato
Workato is an integration platform as a service (iPaaS)-based business intelligence platform designed for organizations of any size. It enables IT teams and businesses to carry out enterprise-level integrations and process automat...Read more about Workato
Skyvia
Skyvia
Skyvia is a cloud-based data integration, backup and management platform for businesses of all sizes. Key features include direct data integration between apps, scheduling settings for backup automation, a wizard to simplify local...Read more about Skyvia
Etleap
Etleap
Etleap is a cloud-based AWS database management tool that allows users to analyze data from disparate sources. Users can add or modify new data sources and apply custom transformations to their datasets. It works with analyti...Read more about Etleap
Dataddo
Dataddo
Dataddo is a data integration platform that lets you transfer data from any cloud service to any other cloud service. This includes services like dashboarding apps, data warehouses and CRM tools. The platform’s UI is designed to...Read more about Dataddo
JustControl.it
JustControl.it
JustControl.it is a platform for digital marketing analysis intended to provide its users with comprehensive capabilities to control ad spend, monitor traffic sources and examine campaign efficiency. It is tailored to serve as an ...Read more about JustControl.it
Boomi
Boomi
Boomi is the world’s most popular, independent, cloud-native integration and automation platform. Boomi simplifies digital landscapes, so it’s easier to streamline customer experiences, automate business processes, and adopt new t...Read more about Boomi
Tranzactor
Tranzactor
Tranzactor is an integrations tool for the logistics and trucking industry, which allows businesses to integrate data from a range of third party applications including TMW Suite, TruckMate, McLeod, MercuryGate, and more. The Tran...Read more about Tranzactor
Hevo
Hevo
Hevo is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. It helps data teams streamline and automate org-wide data flows that result in a saving of ~10 hours of engineeri...Read more about Hevo
Popular Comparisons
Buyers Guide
Last Updated: March 16, 2023Inaccuracies in business data generate the wrong analyses and intelligence reports. This can result in poor decisions and failures, which will eventually be the downfall of a business.
Sounds scary? Because it is.
Your business needs an extract, transform, and load (ETL) solution that lets you define the frequency and cadence of data refresh. The software would ensure that the data in your reporting database is updated and accurate at all times. Your business intelligence (BI) software applies this data to get business insights, which then, allows you to make data-backed decisions.
To understand why accuracy, relevance, and date in a database is important, let's look at the example of the school grading system. In each term, the subject score is totaled and students are assigned grades. If the scores in a subject are unavailable, the final grades can't be assigned.
So, at the end of each term (frequency), you need all the scores (cadence).
As ETL is a technical tool, you need to know its features and benefits before purchasing it. Ensure that the tool you select meets the frequency and cadence requirements of data upload, which means getting the desired reports in the stipulated amount of time.
To help you select the right ETL solution for your business, we created this buyers guide to discuss the following topics:
What is ETL software?
ETL software is a platform that helps businesses manage data transfer from different sources into the central database of a BI solution. These sources could include software applications (such as CRM and HR), data files (such as CSV and XML), in-house databases, and cloud-based data storage solutions.
There are three components of an ETL solution:
Extract: Reads data from different databases and software solutions.
Transform: Performs data cleaning and formatting functions on the extracted data, so that its format (such as text, date, and numbers) is consistent with the data warehouse fields or headers (such as name, payment details, and contacts).
Load: Moves data after the second step (i.e., data transformation) to the data warehouse. This data can be loaded into either a cloud-based or an on-premise data warehousing solution.
ETL workflow in Altova (Source)
Common features of ETL software
The first step in purchasing an ETL solution to understand its features. This will help you shortlist products based on the offered capabilities, ensuring that the product you choose performs all the functions you need.
The table below lists the common features of ETL software.
Data integration | Extracts data from different sources such as local servers and software applications. Some products offer built-in connectors that let users extract data from different software such as CRM and HR. |
Job scheduling | Schedules and monitors the data importing and loading operations for different sources. For instance, you can set a data extraction operation every 12 hours. |
Workflow interface | Provides users a graphical interface to design ETL workflows. This lets them easily perform ETL operations, as the process doesn't require a lot of technical know-how. |
Data cleansing | Cleans data errors, such as truncation spaces and formatting issues, before uploading the data into the data warehouse. |
Reporting | Provides users reports related to their ETL operations. These reports can include the amount of data transferred, time taken, and growth in data volume. |
What type of buyer are you?
As ETL is a technical function, your technological proficiency will decide the type of software you should purchase. In this section, we analyze the needs and challenges of two types of software buyers. We've also identified the types of ETL software that each buyer type should consider for use.
Small businesses with less technical expertise. If your business doesn't have a dedicated IT staff, select a solution that offers built-in data connectors that allow smooth data transfers. This will help you extract data from different sources without having to manually code the operations.
Businesses with dedicated IT teams. Buyers with a dedicated IT team are better equipped to create custom data connections and managing solutions as they can fully understand technical issues. For this reason, buyers should choose a tool that offers advanced reporting, which can help them identify ways to improve their ETL operations.
Benefits of ETL software
The next step of the buyer journey is to understand the advantages of using the software. Understand the usefulness of the software, how it will suit your business, and things to focus on before making the final decision.
Based on our research, here are a few benefits of ETL software:
Accurate and real-time reporting. The manual processes of data collecting, cleaning, and uploading are time consuming and prone to error. An ETL solution automates these steps, thus, helping you generate timely and accurate business reports.
Automatic data sync. It's hard to manually sync all the databases, which means that the generated reports aren't always accurate. For instance, if all your sales and purchase management systems aren't synchronized, profit estimates will be incorrect. ETL software ensures that all data sources are automatically synced with the BI database.
Visual workflows. ETL operations are purely technical and, if done manually, require programming knowledge. An ETL solution offers a visual workflow designer interface that lets you define all the data operations in a process. This provides a graphical representation of your data-related workflows.
Market trends to understand
While you decide on whether to implement an ETL solution in your organization, you should be aware of the relevant market trends. Find out which vendors are incorporating new technologies in their offerings because this could potentially give you first-mover advantage in the market.
According to our research, e**vent streams being an integral part of ETL software will be the biggest market trend**.
Akin to live dashboards, event streams allow you to monitor the real-time information of your business functions. For example, shipment tracking streams let you track the real-time status and location of your shipments.
Unlike the traditional ETL approach, in which data is refreshed at fixed intervals, event streams refresh data in real time. For this reason, the latter requires higher network bandwidth and more efficient data management. As demand for event streams in BI grows, we expect ETL vendors to incorporate it in their offerings by 2022.