Top 10 ETL Tools in 2025

Introduction

Last year was all about Artificial Intelligence (AI) and its incorporation into businesses - from enabling fast-paced analytics to becoming ingrained in everyday decision-making, it has come a long way. One prominent trend observed last year was how many tools, especially ETL tools, integrated AI into their systems. The top 10 ETL tools in 2025 will also highlight the widely discussed AI integration.

Although it was a much sought-after feature in the race, relying solely on AI integration to evaluate the effectiveness of an ETL tool is not comprehensive. Therefore, we have included other evaluation criteria as well. Having the right ETL tool in your stack is also one of the most effective ways to ensure timely access to data-driven insights without wrangling with a multitude of data daily.

Evaluation Criteria for choosing top ETL tools

When evaluating the top ETL tools for 2025, we have considered a variety of metrics such as

ease of use (especially with no-code platforms),
scalability to handle growing data volumes,
cost-effectiveness,
the array of data connectors provided
Another vital aspect is their G2 rating (which reflects real-world user satisfaction and market presence).
AI enablement/ integration

Top 10 ETL Tools in 2025

DataChannel
Fivetran
Airbyte
Stitch
Funnel
Portable
Talend
Informatica PowerCenter
Oracle Data Integrator
Integrate

1. DataChannel

DataChannel, an ETL tool on the rise, promotes seamless data integration by facilitating extract, transform, and load processes. Without writing a line of code, you can set up and synchronize your data from various sources. One of the tool's standout features is its comprehensive coverage of the Amazon ecosystem. With 125+ integrations to choose from you'll have no problem connecting your business's data points. From CRM systems to social media platforms, DataChannel has you covered. Its modern data stack can handle virtually any data integration problem and interoperability scenario, presenting you with clean, unified data that's ready for detailed analysis.

Along with its ETL capabilities, DataChannel is one of the very few tools that also offers seamless Reverse ETL functionalities. Not only data integration, DataChannel also caters to your data activation requirements, a platform that works well for both data teams and marketing teams.

In line with some of its biggest competitors, DataChannel last year also launched its very own Management API, thus allowing data engineers/ developers to programmatically move data from their desired data source to the destination without having to interact with DataChannel’s web interface.

To enhance support for Agency clients, DataChannel also developed “DataChannel workspaces.” These workspaces enable our enterprise clients, especially marketing agencies, to create and manage multiple workspaces within a single account. This eliminates the need for logging into separate accounts for each client and allows for a hierarchical structure of role-based access, including Super Admin, Admin, and User levels.

“Data Orchestration with DataChannel” was also rolled out in early 2024 allowing users to build end-to-end workflows. Our Data orchestration feature aimed at serving different requirements for our users instead of relying on a stack of multiple tools. Starting with data extraction, transformation to loading, activation, and visualization, with orchestration you can do it all within DataChannel itself.

2. Fivetran

Fivetran, a cloud-native ETL (Extract, Transform, Load) tool, is taking data integration to AAA—all-new, automated, and analytic level. The tool comes packed with a rich arsenal of over 150 data connectors, enabling plugging and playing data sources with unique simplicity and agility to match the evolving data landscape. Fivetran tops the chart for its robust automation capability. Not only can it connect to your data sources, but it can also detect schema changes and handle adjustments automatically. This functionality gives it an edge over its competition, making data synchronization a breeze.

FivetranChat: A homebrewed generative AI story

Referencing Fivetran’s blog for better describing their homegrown AI bot, i.e., Fivetranchat. Here’s how internal teams use Fivetranchat. The following is a sampling of FivetranChat questions:

“How does table re-sync work?”

“Does Fivetran create new schemas in Snowflake for every connector?”

“What version of Java SDK should I install?”

“When is the deadline to book flights for Camp Fivetran (our company retreat)?”

“Can I use sick leave for PTO?”

G2 Ratings: 4.2/ 5

Its G2 rating is consistently high, reflecting positive user experiences and the tool's efficiency in handling complex data operations.

3. Airbyte

This partially open-source data integration platform offers a simple yet flexible solution for your data pipeline needs. Its comprehensive collection of pre-built data connectors allows seamless integration with different data sources, significantly reducing the time and effort typically required for extraction, transformation, and loading processes. Moreover, Airbyte also provides a no-code interface, making data extraction simple for non-technical users, but at the same time not limiting the power users who want to write custom logic.

Airbyte 1.0

In today’s data-driven world, accurate data is critical for survival, especially as AI takes center stage. Companies face an unsustainable challenge with growing data sources and maintaining in-house connectors, consuming 44% of data teams' time and resources. Given closed-source solutions are proving inflexible and require complementary in-house solutions, data teams need to adopt an open data movement infrastructure now, before too much technical debt is accumulated and they miss the AI wave.

G2 Ratings: 4.5/ 5

Despite tough competition from established players like Informatica and Stitch, airbyte ranks highly on ease of use and implementation, providing a more user-friendly and cost-effective solution.

‍4. Stitch

Stitch caters to businesses that connect to various data sources, automate data flows, and streamline data integration. Its signature "No-code" platform, offers data connectors to popular databases and SaaS platforms.

Key features of Stitch include

Simple and swift data replication
Wide range of pre-built integrations
High scalability
Secure data pipeline
Seamless integration with popular data warehouses

‍G2 ratings: 4.4/ 5

‍On G2, the leading destination for product discovery and reviews, Stitch holds a strong rating, reflecting its consistent performance and user satisfaction. Comparatively, Stitch stands out for its scalability and user-friendliness, posing serious competition to more complex and expensive tools.

5. Funnel

A SaaS-based, no-code ETL tool, Funnel helps you extract data from over 500 sources, transforming it according to user needs, and loading it into the user's preferred data warehouse, data visualization tool, or BI solution - this tool covers all the bases.

Key features

Custom Data Transformations: You can adjust, clean, and classify your data in Funnel easily.
Data Connectors: Funnel can connect, collect, and integrate data from various sources like digital marketing platforms, CRM systems, and more.
Data Export Capabilities: Extracted data can be loaded to almost any data destination like Google Data Studio, Tableau, Power BI, and more.
Data Harmonization: It ensures that data collected from different sources is compatible and reliable across reports.

‍Funnel Marketing Intelligence

‍Funnel Marketing Intelligence is the first end-to-end solution built for marketers and data teams alike. It’s easy enough for marketers of all stripes to use and powerful enough for sophisticated data teams at brands like Home Depot and Publicis. Whether you’re looking to create a single source of truth or you need a comprehensive decision-making and reporting solution, Funnel Marketing Intelligence is here to help you every step of the way.

G2 ratings: 4.5/ 5

When compared to other tools, Funnel excels in data integration, and customization, making it a top player among ETL tools. While other tools might be better at certain complex data architectures, Funnel keeps it simple and effective.

6. Portable

Portable is a no-code ETL solution that helps analytics teams efficiently move data from multiple systems into their data warehouse. It combines the best of both software and service by providing a mix of pre-configured connectors and custom ETL solutions designed to meet the unique requirements of data teams.

G2 Ratings

Portable enjoys an average of 4.9 out of 5 stars on G2 and provides hands-on customer support, custom development, etc.

Portable Key Features

Portable is known for its quick development of custom connectors, turning integration requests into fully functional solutions in a matter of hours, or even minutes.
Their team provides hands-on support, helping data teams with long-tail connectors. Rather than leaving the task of building and maintaining these integrations to the teams, Portable offers on-demand assistance to resolve any issues that arise.
With a fixed pricing model for API-to-warehouse connectors, teams can focus on extracting valuable insights from their data without worrying about fluctuating usage costs.

7. Talend

Talend provides a comprehensive set of ETL data integration tools designed to work seamlessly with both on-premises and cloud-based data sources. Its platform includes a wide range of pre-built connectors, making it easier to integrate diverse systems.

G2 Rating

Talend Data Integration has received an average rating of 4 out of 5 stars on G2, and was also ranked for its fast implementation in the winter of 2024 as a top tool.

Talend Key Features:

Talend's Data Integration platform enables the efficient and precise implementation of large-scale data structures.
The platform helps users uphold data quality through features such as data profiling, cleansing, and duplicate reduction.
With robust tools for tagging, tracking, and monitoring, Talend also supports effective data governance practices.
Additionally, the platform includes scheduling capabilities, allowing users to automate and streamline their data integration workflows.

8. Informatica PowerCenter

Informatica PowerCenter is a robust data integration platform designed for enterprise-level ETL tasks. It is part of the broader Informatica suite of cloud-based data management tools. PowerCenter is known for its strong performance and compatibility with a wide variety of data sources, including both SQL and non-SQL databases.

Intelligent Data Management Cloud

The Informatica Intelligent Data Management Cloud™ (IDMC) is designed to help businesses efficiently handle the complex challenges of dispersed and fragmented data to truly innovate with their data on virtually any platform, any cloud, multi-cloud, and multi-hybrid. This is the industry’s first and most comprehensive cloud-native, AI-powered, end-to-end data management cloud, empowering organizations to reimagine and redefine how they manage and innovate with their data.

G2 Rating

Informatica PowerCenter earned an average of 4.4 out of 5 stars on G2 and was named one of the website's top 50 IT infrastructure products in 2024.

Informatica Key Features:

The platform simplifies and accelerates the ETL process by automating data movement between systems. It also prioritizes data security through features such as encryption, user access controls, and other protective measures.
Additionally, PowerCenter supports advanced analytics by incorporating predictive models, machine learning capabilities, and other tools to help users uncover meaningful insights from their data.

9. Oracle Data Integrator

Oracle Data Integrator (ODI) is a versatile data integration tool that integrates seamlessly within Oracle's data management ecosystem. It is particularly well-suited for organizations already utilizing Oracle applications like Oracle E-Business Suite (EBS).

ODI is available in both on-premises and cloud-based versions, with the cloud offering known as Oracle Data Integration Platform Cloud, providing flexibility to meet various deployment needs.

Oracle AI

Using Oracle AI, you can access proprietary or open-source generative LLMs as suited for your needs, with high performance and low cost. Moreover, go on to use generative AI as managed services for your custom applications, with the data already in Oracle’s data platform or integrated within Oracle Cloud Applications.

G2 Rating

Oracle Data Integrator has an average rating of 4 out of 5 stars on G2.

Key Features

Equipped with advanced tools for complex data transformation.
Compatible with Hadoop and NoSQL databases to support diverse data environments.
Features a robust scheduling engine to streamline and automate integration workflows.
Available as a cloud-based solution via Oracle Data Integration Platform Cloud for added flexibility.

10. Integrate.io

Integrate.io is a low-code data integration platform designed to simplify ETL processes, API creation, and data analysis. It offers a wide range of features that allow users to efficiently build and manage secure, automated data pipelines, positioning it as a popular choice among ETL tools.

G2 Rating

Integrate.io enjoys a G2 rating of 4.3 out of 5 on G2.

Key Features

Supports more than 100 leading SaaS applications and data repositories, offering compatibility with a wide variety of data sources.
Allows customization of the data integration process using an advanced expression language, robust API capabilities, and webhooks.
Features a Field Level Encryption layer for securing individual data fields with unique encryption keys, ensuring data protection and compliance.

Recommendation for the best ETL tool based on the evaluation metrics

Ultimately, choosing the best ETL tool truly depends on your business requirements and data integration strategy. DataChannel, being so versatile and cost-effective, comes quite close to being a one-size-fits-all solution. Nevertheless, if your focus is on complex data transformations, Informatica could be your best bet. For startups or small businesses looking for a budget-friendly tool with excellent scalability, Stitch might just hit the sweet spot. Final thoughts on the future of ETL tools in the data integration industry. As we peer into the future of data integration, it's clear that ETL tools will continue to evolve and adapt to keep up with growing data demand and complex integration needs. The innovation of combining ETL and Reverse ETL processes points to an exciting future, where more comprehensive and bidirectional data flow becomes the norm. In a world where getting the right data to the right place at the right time is of utmost priority, ETL tools will continue to play a transformative role in shaping the future of business operations.