Top 5 ETL Tools in 2025: Compare Key Capabilities

Updated December 04th, 2024

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ETL tools streamline the process of data extraction, transformation, and loading between diverse systems. They automate workflows, enhance data quality, and ensure efficient integration.

Leading ETL tools such as Talend, Informatica PowerCenter, Fivetran, Stitch, and Xplenty offer scalable solutions for cloud and on-premises environments.
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These tools enable real-time analytics and optimize data pipelines for seamless performance.

Businesses leverage ETL tools to improve decision-making with accurate and timely data.

There’s a rising demand for ETL tools, which are a part of the rapidly growing data integration market.

As the humans of data become increasingly diverse, the requirements from ETL tools continue to evolve. Data engineers now expect ETL tools to automate pipelines, enable data orchestration, and speed up analytics.

This article covers five such ETL tools that go beyond data transformation to support automated integration workflows and data orchestration.

Table of contents #

5 Popular ETL tools
Talend Data Fabric
Informatica PowerCenter
Fivetran
Stitch
Xplenty
How to evaluate ETL tools?
How organizations making the most out of their data using Atlan
FAQs about ETL tools
ETL tools: Related reads
Related deep dives on popular data tools

5 Popular ETL tools #

Here are the five most popular ETL tools in 2024:

Talend Data Fabric
Informatica PowerCenter
Fivetran
Stitch
Xplenty

1. Talend Data Fabric #

The Talend Data Fabric offers a complete suite of cloud-based data management tools that handle data collection, transformation, analytics, and governance. You can set up an ETLarchitecture that supports data from various sources and formats. Since Talend generates native Java code, you to run it anywhere — on any platform that supports Java.

What are the main capabilities of Talend? #

Talend lets you connect to data in public and private clouds as well as hybrid environments. Moreover, they have partnered up with leading cloud service providers, data warehouses, and analytics platforms — AWS, Microsoft Azure, GCP, Snowflake, and Databricks.
You can use 1000+ connectors and components to connect any data source with any data environment with a drag-and-drop interface. You can also reuse ETL pipelines to speed up data integration.
You can ensure data quality by spotting and fixing issues as data moves through your systems.
Talend assigns a Talend Trust Score to check data health throughout the lifecycle of an asset.

2. Informatica PowerCenter #

Informatica PowerCenter is a metadata-driven data integration platform for cloud environments. With Informatica PowerCenter, you can extract data from its source, transform it as per your requirements, and load it into a target data warehouse.

The platform continuously evaluates the performance of your processing engines and workload to find the right integration method for each use case.

Informatica PowerCenter can connect and fetch data from multiple sources and offers various levels of services — Standard, Advanced, and Premium. Each edition offers support to more data types, sources, and projects. For instance, the Premium edition supports the transformation of semi-structured and unstructured data too.

What are the main capabilities of Informatica PowerCenter? #

Informatica PowerCenter provides real-time integration of data from multiple data sources using out-of-the-box connectors.
You can use graphical and code-less tools with pre-built transformations to set up ETL pipelines automatically and make them reusable.
The tool also supports non-relational data sets such as XML, JSON, PDFs, and sensor data.
You can process ETL jobs from anywhere — cloud-hosted and managed environments.

3. Fivetran #

Fivetran helps you build automated pipelines to centralize data from different sources. It provides ready-to-use connectors that automatically adapt as schemas without requiring any configuration and maintenance.

Fivetran promises a 5-minute setup and zero infrastructure maintenance and guarantees a 99.9% platform uptime. Unlike traditional ETL tools, Fivetran is built for analysts and business users and empowers them to perform data discovery and exploration without any IT support.

Fivetran offers a free 14-day trial.

What are the main capabilities of Fivetran? #

Fivetran supports setting up zero-configuration, fully automated data pipelines that replicate all of your data in minutes.
It reduces the load on data engineers to create and deploy pipelines manually with automated connectors and prebuilt data models.
Fivetran enables end-to-end ETL transparency by full-scale visualization of the data synchronization process between Amazon Redshift, Snowflake, or Google BigQuery data warehouses and BI tools.

Fivetran resources #

Fivetran Documentation | Fivetran Status | Fivetran vs. traditional ETL

4. Stitch #

Stitch Data Loader is a Talend product for cloud-based ETL and is part of the Talend Data Fabric. It’s used for data migration from 130+ sources into central data warehouses for further analysis.

Stitch provides data detection, extraction, and loading to a central data warehouse with continuous synchronization. Stitch allows data replication without requiring any modifications to the code.

You can sign up for a free 14-day trial and take Stitch for a test drive.

What are the main capabilities of Stitch? #

Data replication: Stitch allows data replication features for quick access to data without requiring clients to handle any modifications.
Improved analytics: Stitch automates data pipeline management, allowing data engineers to focus on retrieving better insights from the data.
Scalability: Stitch provides scalable services with ready-to-use and self-managing connectors.
Advanced security: Stitch holds enhanced security features and connectivity options to provide its clients with reliable data pipelines.

Stitch resources #

Stitch Documentation | Fivetran vs. Stitch | Informatica vs. Stitch | Xplenty vs. Stitch

5. Xplenty #

Xplenty, now identified as Integrate.io, is a low-code, cloud-based ETL tool to quickly design and run ETL pipelines.

Xplenty provides a coding-free data integration solution to build ETL pipelines without IT support. The platform is SOC2 compliant and uses advanced security features such as FLE, hashing, 2FA, and masking for data security and privacy.

What are the main capabilities of Xplenty? #

The platform supports 100+ native data sources and destinations — Salesforce, AWS, Snowflake, Netsuite, and more.
The automated ETL pipelines are scalable, reliable, and reusable.
Xplenty provides a simple drag-and-drop interface for users to set up transformations without requiring them to know its technicalities.
However, if you wish to code, you can leverage advanced APIs, X-console, and webhooks to customize and extend the Xplenty platform.
You can schedule tasks as and when required.
You can track the progress of any job using visual dashboards.

Xplenty resources #

Xplenty Documentation | Integrate.io ETL Product | Integrate.io vs. Fivetran | Integrate.io vs. Stitch | Integrate.io vs. Talend

How to evaluate ETL tools? #

In data warehousing, ETL tools allow data engineers to break down data bottlenecks and simplify data analysis. Since organizations operate at different scales, their requirements from ETL tools can vary.

Here are some factors to consider when evaluating ETL tools:

Simplification of data handling: How much do you wish to simplify the data integration process?

Different ETL tools automate these processes to various extents, from low-coding to no-coding.
Security: Which security features are crucial for your data governance program?

ETL tools provide different security features to mitigate security risks and you should pick a solution that adheres to your data privacy policies.
Data cleansing and manipulation support: Which data cleansing features do you need?

Also, do you require support to manipulate data so that it gets organized in a central repository in a standard format?
Metadata support: Do you require metadata storage and maintenance?

Besides these, you should also consider your budget and available engineering resources when comparing various ETL tools.

Also, read → Global ETL software market report | ETL tools market size and scope

How organizations making the most out of their data using Atlan #

The recently published Forrester Wave report compared all the major enterprise data catalogs and positioned Atlan as the market leader ahead of all others. The comparison was based on 24 different aspects of cataloging, broadly across the following three criteria:

Automatic cataloging of the entire technology, data, and AI ecosystem
Enabling the data ecosystem AI and automation first
Prioritizing data democratization and self-service

These criteria made Atlan the ideal choice for a major audio content platform, where the data ecosystem was centered around Snowflake. The platform sought a “one-stop shop for governance and discovery,” and Atlan played a crucial role in ensuring their data was “understandable, reliable, high-quality, and discoverable.”

For another organization, Aliaxis, which also uses Snowflake as their core data platform, Atlan served as “a bridge” between various tools and technologies across the data ecosystem. With its organization-wide business glossary, Atlan became the go-to platform for finding, accessing, and using data. It also significantly reduced the time spent by data engineers and analysts on pipeline debugging and troubleshooting.

A key goal of Atlan is to help organizations maximize the use of their data for AI use cases. As generative AI capabilities have advanced in recent years, organizations can now do more with both structured and unstructured data—provided it is discoverable and trustworthy, or in other words, AI-ready.

Tide, a UK-based digital bank with nearly 500,000 small business customers, sought to improve their compliance with GDPR’s Right to Erasure, commonly known as the “Right to be forgotten”.
After adopting Atlan as their metadata platform, Tide’s data and legal teams collaborated to define personally identifiable information in order to propagate those definitions and tags across their data estate.
Tide used Atlan Playbooks (rule-based bulk automations) to automatically identify, tag, and secure personal data, turning a 50-day manual process into mere hours of work.

Book your personalized demo today to find out how Atlan can help your organization in establishing and scaling data governance programs.

FAQs about ETL Tools #

1. What are ETL tools? #

ETL (Extract, Transform, Load) tools help organizations gather data from various sources, transform it into a usable format, and load it into a database or data warehouse for analysis. They are essential for automating data workflows and supporting data-driven decision-making.

2. How do ETL tools work? #

ETL tools work by extracting data from different sources, transforming it to meet specific business or analytical needs, and loading it into a data storage system. This process ensures that data is consistent, clean, and ready for analysis.

3. What are the benefits of using ETL tools? #

ETL tools offer multiple benefits, including faster data integration, improved data quality, and better insights for business intelligence. They enable automated workflows, streamline complex data pipelines, and provide scalability for growing data needs.

4. Which are the best ETL tools for cloud environments? #

Top ETL tools for cloud environments include Fivetran, Stitch, and Talend, which provide robust cloud-based integration options. These tools are designed for high scalability and compatibility with major cloud platforms like AWS, Google Cloud, and Azure.

5. How do ETL tools handle real-time data? #

Modern ETL tools support real-time or near-real-time data integration. This capability is achieved through advanced features like data streaming and event-driven architecture, which allow businesses to gain timely insights and make faster decisions.

6. Are there open-source ETL tools available? #

Yes, there are open-source ETL tools, such as Apache NiFi and Talend Open Studio, that provide powerful data integration capabilities. These tools are ideal for organizations with technical expertise and the need for customizable ETL solutions.

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