Selecting the Best No-Code ETL Tools

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April 3, 2025

Modern businesses mainly deal with tons of information, but users don’t want to waste time writing complex scripts or building pipelines from scratch. In such cases, no-code ETL tools have become our new best friends. These platforms let people move, clean, and sync data across systems with just a few clicks. No technical background is required!

Whether you’re in sales ops, marketing, analytics, etc., they help focus on insights instead of infrastructure.

In this guide, we’ll walk through the best no-code ETL tools for 2025 and help companies choose the one that fits users’ needs.

But before we get into the tools themselves, let’s quickly break down what ETL actually is and why it matters.

What Is ETL, and What Are ETL Tools?

Extract, Transform, Load (ETL) is a core process that helps businesses move data from one place to another and make it actually usable along the way.

First, users extract data from their sources (Salesforce, Shopify, spreadsheets, etc.).
Then, they transform it by cleaning, mapping, or reshaping it.
Finally, load it into a destination like a data warehouse, dashboard tool, or another app where it can do some good.

ETL tools automate all that, so we’re not manually exporting CSVs or stitching things together with scripts. And here’s where things get even better. No-code ETL tools make this process doable with drag-and-drop builders and guided flows. No developers are required. Of course, some teams want a bit more flexibility, and that’s where low-code ETL tools come in. They let organizations customize things further while still keeping it user-friendly.

No-Code ETL Tools

Such systems are about speed, simplicity, and accessibility. They’re perfect for non-technical users who need to move and manage data without relying on developers.

You can build reliable data pipelines in minutes with:

Intuitive drag-and-drop interfaces.
Prebuilt connectors.
Guided workflows.

These platforms solve manual data exports, scattered reporting, and syncing between tools like Salesforce, HubSpot, BigQuery, or Snowflake, as well as other common business pains.

They’re especially helpful for small teams, marketing ops, sales ops, and anyone who wants insights without coding.

Low-Code ETL Tools

These platforms are the sweet spot between power and accessibility. They give users the flexibility to build more complex, customized data workflows while still keeping things faster and simpler than writing full code from scratch.

You might still use SQL, Python snippets, or scripting here and there, but most of the heavy lifting is done through visual interfaces and prebuilt modules.

Low-code ETL tools are ideal for growing teams, data engineers, or tech-savvy analysts who need to:

Handle bigger volumes.
Trickier logic.
Hybrid (cloud + on-prem) data setups.

If no-code tools feel a bit too limiting, but full-blown coding feels like overkill, low-code ETL is probably your best bet.

What is a No-Code Data Pipeline?

Now, let’s talk about the automated workflow that moves data from one system to another without writing code.

Consider it a smart assembly line that:

Grabs data from tools like Salesforce or Shopify,
Transforms it (if needed),
Sends it to destinations like a data warehouse, spreadsheet, or dashboard.

The magic is that users may build it all using visual tools: drag, drop, click, done. No developers, no scripts, no late-night debugging.

No-code pipelines are a game-changer for non-technical teams who still need reliable, real-time data to make decisions. They help:

Eliminate manual exports.
Reduce human error.
Save hours of repetitive work.

So companies can focus on what actually moves the needle.

List of the Best No-Code ETL Tools

As said above, no-code ETL tools make it easy to pull data from apps, databases, or cloud services and send it wherever users need it.

They also are:

Cost-effective. Companies don’t need to hire a team of engineers to get clean, connected data.
User-friendly. Business teams can build and manage pipelines themselves with no technical background needed.
Fast to deploy. Most platforms let users get up and running in under an hour.
Secure by design. Many tools include built-in data masking, field-level encryption, and compliance support for GDPR, HIPAA, and CCPA to help protect sensitive customer info.

Below, we’ll walk through the top no-code ETL tools to help each business find the one that fits its workflow, team, and budget.

Skyvia

Skyvia is a universal SaaS (Software as a Service) platform for organizing data-related tasks like integration, backup, synchronization, API management, etc., without coding. This service is cloud-based, so it requires no software except a web browser.

This platform has the following tools for various integration scenarios:

Import tool loads data from one cloud app, database, or CSV file to another cloud app or database according to the ETL or reverse ETL scenarios.
Export extracts data from a cloud app or database and loads it into a CSV file on local or cloud storage (like Dropbox, OneDrive, etc.).
Replication operation creates an exact copy of the cloud app in a database, which corresponds to the ELT scenario, and maintains its up-to-date state automatically.
Synchronization connects two sources (databases and cloud apps) and synchronizes data in both directions.
Data Flow and Control Flow packages are suitable for building complex data pipelines with several sources based on certain conditions. Data Flow handles the transformations and movement, while Control Flow manages orchestration logic like loops, conditions, and execution sequences.

Let’s have a look at Skyvia’s ETL tool based on evaluation criteria.

Parameter	Grade	Description
Ease of Use	10/10	Skyvia’s interface is a hidden gem for both programmers and non-technical users. Existing users appreciate its easy-to-understand interface with clear structure and drag-and-drop functionality.
Data Source and Destination Compatibility	9/10	Currently, this tool works with around 200+ connectors – cloud apps, relational databases, and data warehouses. Additionally, Skyvia offers: OData connector for sources supporting OData protocol. REST connector for sources with REST API.
Data Transformation Capabilities	10/10	It’s possible to perform data transformations with multiple mapping settings: – Map a target column to a source column. – Map a target column to an expression. – Set a target column to a constant. – Obtain a value for a target column from a target or source object through lookup. – When loading several source objects, specify the relation between them, and the system builds the corresponding relation for target data. This mapping type is available only for foreign key fields. – Zip file mapping is available for importing a CSV file together with a .zip file with imported binary data.
Scalability	10/10	Skyvia is suitable for any business size and type. There are plans with basic integration scenarios and simple data mapping settings, as well as plans with advanced options and a practically unlimited number of data records for processing and transfer.
Security and Compliance	10/10	As Skyvia resides on Microsoft Azure cloud servers kept in secure locations, it’s compliant with industry-specific standards – SOC 2, ISO 27001. Skyvia encrypts users’ data with AES 256-bit standard and complies with GDPR regulations and HIPAA requirements.
Pricing	10/10	This service offers a free plan for those looking for simple ETL tools with a basic set of features. Businesses eager to experience a greater number of data integration options and mapping functions would enjoy Standard, Professional, or Enterprise plans. See pricing details here.
Summary	9.9/10

As you see, Skyvia could be an ideal no-code ETL tool for everyone – waste no time exploring it!

Integrate.io

Integrate.io provides various solutions, including a no-code ETL and reverse ETL tool. It allows companies to integrate data and prepare it for further use in statistical analysis, data actualization, and other processes. With built-in connectors for cloud apps, databases, and storage platforms, it simplifies even complex data workflows. Plus, its drag-and-drop interface and scheduling features make it easy to automate data movement and don’t need coding.

Let’s have a look at Integrate.io’s ETL tool based on evaluation criteria.

Parameter	Grade	Description
Ease of Use	9/10	This tool is easy to navigate and create tasks within the five main tabs: Pipeline, Destination, Source, Observability, and Settings. Each tab’s name presumes which kind of operation a user could perform there.
Data Source and Destination Compatibility	8/10	Integrate.io ETL tool supports around 200+ connectors.
Data Transformation Capabilities	10/10	There are many options for data transformations, among which the most popular ones are: – Aggregate Transformation groups input data according to a certain criterion. – Assert Transformation checks data for compliance with a set of conditions. – Clone Transformation serves for splitting a dataflow into several ones. – Filter Transformation checks for duplicate records.
Scalability	10/10	Intergrate.io offers unlimited integration packages in the workflow, so it would be suitable for any business.
Security and Compliance	10/10	During data integration, there is an option to encrypt particular fields using AWS Key Management Service (KMS). Integrate.io ETL solution also allows setting up a reverse SSH channel on Windows to connect to remote databases secured under extra protection options.
Pricing	8/10	The pricing starts from $15,000/year for the most simple plan and may vary depending on the particular company’s requirements.
Summary	9.2/10

Keboola

Keboola is another ETL solution for data integration with no coding skills as well as with low code for those willing to add more customizability to data processing. This service helps non-technical users easily collect data from various sources, schedule data collection, and load it to the required destination.

It also offers built-in transformation capabilities, version control, and collaboration features that are especially useful for teams. With support for both structured workflows and custom scripts, the platform scales well from small data tasks to enterprise-level pipelines.

Let’s have a look at Keboola’s ETL tool based on evaluation criteria.

Parameter	Grade	Description
Ease of Use	10/10	This tool has an intuitive UI that makes it easy to navigate and perform any kind of data-related operations.
Data Source and Destination Compatibility	9/10	More than 200 connectors are already implemented in Kebools. Thus, users may easily connect to CRMs, SaaS platforms, cloud apps, databases, and a variety of other tools. However, some of these connectors may require manual configuration, and others are community-built, which can vary in stability and support. Keboola does support custom connector development, which boosts flexibility but may not be considered “out-of-the-box” by all users.
Data Transformation Capabilities	7/10	While Keboola generally sticks to a no-code approach, running transformations requires SWL, Python, or R programming language.
Scalability	10/10	Keboola suits any business type and size.
Security and Compliance	9/10	This ETL tool implements modern security standards on the web and complies with data protection regulations.
Pricing	10/10	Keboola offers a free plan with one hour of computational capacity on a monthly basis. Then charging occurs depending on the computational capacity consumed extra.
Summary	9.3/10

Fivetran

Fivetran focuses on real-time data replication and transfer between sources. This helps to increase the operational capacity of the particular team or entire business and boosts the basis for analytics.

It offers fully managed connectors that automatically adapt to schema changes, reducing maintenance overhead. With built-in transformations and robust destination support, the solution ensures that data is analytics-ready as soon as it lands. It’s especially valuable for companies looking to scale their data infrastructure without spending on their engineering resources.

Let’s have a look at Fivetran’s ETL tool based on evaluation criteria.

Parameter	Grade	Description
Ease of Use	9/10	It’s possible to build ETL pipelines and set up everything for data movement in minutes without coding knowledge.
Data Source and Destination Compatibility	9/10	Fiveran supports over 700 data sources.
Data Transformation Capabilities	8/10	While Fivetran emphasizes ELT processes, it integrates with dbt (data build tool) for transformations, which requires users to have a basic understanding of SQL. This approach offers flexibility but may necessitate some technical proficiency for complex transformations.
Scalability	10/10	Both small businesses and large enterprises would find Fivetran useful in their data stack.
Security and Compliance	10/10	Fivetran meets all the requirements for digital data privacy and security standards.
Pricing	8/10	There is a free plan for those willing to work with small amounts of data. The company also offers Starter, Standard, and Enterprise plans.
Summary	9.2/10

Stitch

To move data from any source to a data warehouse, there’s another no-code ETL tool for that called Stitch. It allows setting an ETL data pipeline in minutes and applying the needed transformation settings.

It supports wide range of different sources and offers integration with major data warehouses like Snowflake, BigQuery, and Redshift. The platform is designed for analysts and data teams who want fast setup without ongoing maintenance. While it focuses on simplicity, it also allows custom transformations through integration with tools like dbt.

Let’s have a look at Stitch’s ETL tool based on evaluation criteria.

Parameter	Grade	Description
Ease of Use	9/10	Similarly to other tools mentioned above, Stitch follows a no-code concept for designing ETL data pipelines. Everything is done in the visual wizard, where an integration (source) and destination (target) are selected. All other parameters of the data pipelines don’t require any coding knowledge as well.
Data Source and Destination Compatibility	9/10	Stitch supports around 160+ various SaaS apps, online services, and databases.
Data Transformation Capabilities	7/10	The principal concept of Stitch’s approach to transformation is to keep data as close to its original format as possible. This tool performs only arbitrary transformations to ensure data is compatible with the destination.
Scalability	10/10	Stitch would be suitable for small businesses as well as for fast-growing organizations.
Security and Compliance	10/10	This service resides on AWS services, which automatically makes it compliant with ISO/IEC 27001 security standards. It also provides an option to create SSH tunnels and IP whitelisting for sources that can handle such functions. Stitch also complies with GDPR, HIPAA, and Privacy Shield regulations so that users’ data is stored and processed in a safe manner.
Pricing	8/10	Stitch’s pricing begins at $100 per month for the Standard plan, which includes up to 5 million rows per month. The Advanced plan is priced at $1,250 per month, and the Premium plan at $2,500 per month, both billed annually. While the entry-level pricing is competitive, costs can escalate with higher data volumes, which may be a consideration for larger organizations.
Summary	9/10

Matillion

Whether there’s a need to create a single source of truth for keeping data in one place or preparing data for business analysis, Matillion comes in handy. It also makes data ready for consumption in business apps and gets insights out of it.

With deep integration into cloud data warehouses like Snowflake, BigQuery, and Redshift, it streamlines both data ingestion and transformation at scale. The system’s flexible, low-code environment supports powerful SQL-based workflows while offering a visual interface for faster pipeline development.

Let’s have a look at Matillion’s ETL tool based on evaluation criteria.

Parameter	Grade	Description
Ease of Use	9/10	Matillion offers an intuitive interface designed for ease of use, allowing users to set up data pipelines efficiently. The platform’s visual, low-code approach enables both technical and non-technical users to design, deploy, and manage ETL processes with minimal effort.
Data Source and Destination Compatibility	9/10	This platform offers over 100 pre-built connectors for popular data sources. Otherwise, there’s an option to create a custom connector using REST API.
Data Transformation Capabilities	9/10	The platform offers a comprehensive set of pre-built transformation components, such as Aggregate, Pivot, Rank, and Distinct, supporting complex data manipulation without coding. For advanced customization, users can implement custom scripts, providing a balance between no-code and low-code approaches.
Scalability	10/10	There are no restrictions on the company size or industry of operation for companies willing to implement Matillion in their data stack.
Security and Compliance	9/10	Matillion operates on secure cloud platforms and adheres to industry-standard security practices. The platform offers features such as role-based access control and audit logging to ensure data security. However, specific compliance certifications (e.g., ISO/IEC 27001) are not explicitly mentioned in the available sources.
Pricing	8/10	It provides a pay-as-you-go pricing model using Matillion Credits, with costs starting at $2.00 per credit. This flexible approach allows businesses to pay for resources based on their current needs. However, the initial monthly pricing begins at $1,000, which may be a consideration for smaller organizations.
Summary	9/10

Osmos

Osmos automates data ingestion and processing with no-code data pipelines. All one needs to do is set up source and target data applications, define data mapping transformations, and set up parameters for data cleaning.

Its user-friendly interface allows business users to upload, clean, and transform data without involving engineering teams. The platform also includes AI-powered data mapping and anomaly detection to reduce errors and manual work. It’s especially useful for businesses regularly importing messy external data from partners, vendors, or customers.

Let’s have a look at Osmos’s ETL tool based on evaluation criteria.

Parameter	Grade	Description
Ease of Use	9/10	Osmos offers a user-friendly, no-code platform that simplifies data ingestion and transformation processes. Users can set up data pipelines through a visual interface without requiring coding skills.
Data Source and Destination Compatibility	6/10	It provides a limited number of pre-built connectors for popular data sources and destinations. However, users can create custom connectors using REST APIs to extend compatibility.
Data Transformation Capabilities	8/10	Osmos performs standard data mapping as well as formula-based transformations and quick fixes for data cleanup.
Scalability	9/10	This tool is suitable for small teams, rapidly growing businesses, and enterprise-level companies.
Security and Compliance	9/10	Osmos meets all industry-standard security requirements for application architecture, communication, and data encryption. It also respects data privacy laws to comply with legal requirements.
Pricing	7/10	There is a free Starter plan for small teams with moderate data volumes, charging $0.0010 per record for up to 100,000 records per month. The Scale plan is priced at $500 per month, plus data costs, offering additional features and higher usage limits. While the pricing structure is transparent, the costs can accumulate with higher data volumes, which may be a consideration for larger organizations.
Summary	8.2/10

Comparison of Tools

Let’s sum up everything mentioned about the no-code ETL tools for building data pipelines with no programming. All services offer high usability and scalability, which makes them suitable for any organization. The same goes for the security and compliance parameter; all platforms offer high standards for data protection, which makes them really safe and credible.

Parameter	Skyvia	Integrate.io	Keboola	Fivetran	Stitch	Matillion	Osmos
Ease of Use	10/10	9/10	10/10	9/10	9/10	9/10	9/10
Data Source and Destination Compatibility	9/10	8/10	9/10	9/10	9/10	9/10	6/10
Data Transformation Capabilities	10/10	10/10	7/10	8/10	7/10	9/10	8/10
Scalability	10/10	10/10	10/10	10/10	10/10	10/10	9/10
Security and Compliance	10/10	10/10	9/10	10/10	10/10	9/10	9/10
Pricing	10/10	8/10	10/10	8/10	8/10	8/10	7/10
Summary	9.9/10	9.2/10	9.3/10	9.2/10	9/10	9/10	8.2/10

Benefits of No-Code Data Integration

Such systems make powerful data operations accessible to everyone so users can move faster, work smarter, and stay focused on what matters. Let’s look at the advantages this integration may provide.

Faster Implementation. Get up and running in hours, not weeks. Drag-and-drop interfaces and prebuilt connectors eliminate setup delays.
Reduced IT Dependency. Business teams can build and manage pipelines independently, freeing up IT for more strategic or complex work.
Cost Efficiency. Skip expensive dev time. No-code tools automate data movement and transformation with minimal upkeep.
Scalability. Easily scale from a few thousand rows to millions. Most platforms handle additional sources, destinations, and workflows as you grow.
Improved Data Accuracy. Say goodbye to manual exports and human error. Automated processes deliver consistent, reliable data for reporting and analytics.
Built-In Security and Compliance. Many platforms include encryption, access controls, and regulatory compliance out of the box; no extra setup is required.

Summary

Not every ETL tool offers powerful data transformations and connectivity options, which could be crucial for companies as they would want to connect data sources they use on a daily basis.
Based on our subjective evaluation of no-code ETL tools, Skyvia has one of the highest scores for each of the technical parameters as well as for the pricing component. So don’t hesitate to start your journey with Skyvia today!

Selecting the Best No-Code ETL Tools

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