Top SAP ETL Tools You Should Consider in 2025

ETL (Extract, Transform, and Load) is the data integration process that involves moving data from different sources into a centralized data system. This process is crucial for businesses that work with large volumes of versatile data and need to make informed decisions based on it, as ETL ensures the data is unified, accurate, clean, and ready for use.

Let’s break down the ETL process steps so you can get a better understanding of this process.

• Extract, the first step of the process, serves to collect data from various sources like databases, spreadsheets, APIs, or SAP-sources.
• Transform is a stage of cleaning, filtering, sorting, or merging the data to bring it to the needed format.
• Load, logically, means uploading the transformed data into a target system, such as a data warehouse or a new database.

The ETL process is executed with the help of specialized ETL tools that are designed to automate and simplify data transfer, helping businesses save a lot of time and effort. These tools vary in complexity, cost, and scalability depending on the organization’s needs.

What Are SAP ETL Tools?

Within the SAP ecosystem, SAP ETL tools are used to simplify the data migration and integration process. These tools help extract data from various SAP and non-SAP systems, transform it into the required format, and then load it into SAP data storage systems for reporting, analytics, and business intelligence.

Now, let’s take a look at the top 10 SAP ETL tools to help your organization efficiently handle data migration and management tasks in 2025 and beyond.

Top 10 SAP ETL Tools List

SAP Data Services

SAP Data Services is a comprehensive enterprise data management solution that focuses on improving the quality of both structured and unstructured data. It offers robust data integration, quality management, and cleansing functionalities. As part of the SAP Business Technology Platform (SAP BTP), it helps organizations transform their data into valuable, trustworthy insights to improve business processes, enhance decision-making, and streamline operations.

Pros

• Comprehensive data quality management tools
• Supports both structured and unstructured data
• High scalability with parallel processing, grid computing, and bulk data loading
• Native connectors for integrating a wide range of enterprise data sources
• Built-in data governance and centralized business rule repository
• Supports on-premise and cloud data integrations

Cons

• Primarily on-premise deployment (though cloud options are available, it may require more technical setup for certain environments)
• Potentially complex for smaller organizations without dedicated data management teams
• May require significant investment in infrastructure for high-performance needs

Deployment options

• On-premise

Pricing

From $10,000 per year

Free trial

Yes

DataLark

DataLark is a leading data management platform designed to help enterprises migrate, integrate, and manage their data both on-premises and in the cloud. The platform enables faster, more secure, and effective data management, offering tools for data migration, integration, transformation, validation, and data flow automation. DataLark enhances productivity, reduces operational costs, and helps organizations leverage their data for better decision-making.

Pros

• Zero-coding, drag-and-drop interface for creating data pipelines
• Built-in, native connectors for seamless integration across various data sources and targets
• Flexible deployment options (on-premise, cloud, hybrid)
• Extensive library of preconfigured templates for data migration
• Powerful data transformation and enrichment capabilities
• Facilitates cloud and ERP migrations, including SAP S/4HANA implementations
• Strong focus on reducing operational costs and enhancing team productivity

Cons

• Doesn’t have as many non-SAP connectors as other platforms
• No SaaS offering

Deployment options

• On-premise
• Cloud
• Hybrid

Pricing

From $12,000 per year

Free Trial

Yes, DataLark offers 14 days of free trial.

Qlik Replicate for SAP

Qlik Replicate for SAP is an automated, easy-to-use data replication solution designed to address the ETL challenges within SAP systems. It simplifies the complex SAP data structures, enabling businesses to easily replicate and integrate SAP data into analytics platforms without disrupting production systems. The tool supports real-time integration and high-speed cloud data transfer, plus minimizes downtime, allowing businesses to unlock valuable insights from SAP data.

Pros

• Uses change data capture (CDC) to continuously update targets for live insights
• Intuitive, web-based console for easy configuration, control, and monitoring of replication tasks
• No additional hardware or agents are needed for SAP sources
• Supports a wide variety of target systems, including databases, data warehouses, and Hadoop
• Compresses, encrypts, and transfers data in parallel for faster migrations and cloud integrations
• Includes solutions for SAP GDPR compliance, SAP S/4HANA integration, and SAP test data management

Cons

• Focuses primarily on data replication rather than full-scale ETL processes, which might limit functionality for some use cases.
• May require technical expertise for setup and optimization, depending on the complexity of SAP systems.
• Relatively high-performance demands, especially for large-scale data replication.

Deployment options

• On-premise
• Cloud

Pricing

From $9,900 per year

Free trial

No

Visual Flow SAP ETL Tool

Visual Flow SAP ETL Tool is a free, open-source, cloud-native solution to automate and simplify the ETL process within SAP environments. The tool offers comprehensive features for handling various data sources, ensuring data integrity, and transforming data into a consistent format suitable for SAP systems. Visual Flow supports real-time data updates, data governance, and compliance with regulatory standards like GDPR and CCPA. It is well-suited for automating workflows and integrating data seamlessly across different systems. Visual Flow does not require a database; rather, you can create all objects as native Kubernetes resources.

Pros

• Flexibility and cost-efficiency for businesses with specific needs
• Supports continuous updates for up-to-date business insights
• Connects to various data sources, including databases, cloud services, and legacy systems
• Graphical User Interface to speed up settings and configurations
• Automatically handles duplicates, errors, and missing values for cleaner data
• Built-in alerts, logs, and dashboards for performance tracking
• Supports industries like retail, healthcare, finance, and more.

Cons

• Initial configuration and setup may require technical expertise
• Optimization and resource allocation require careful monitoring to avoid performance bottlenecks
• While intuitive, the open-source nature might require additional time for customization
• Available for Linux only

Deployment options

• Cloud
• On-premise

Pricing

Free

Free Trial

The tool is free

Informatica Intelligent Data Management Cloud

Informatica IDMC is an AI-powered ETL platform that helps businesses manage, govern, and integrate their data. It supports multi-cloud and hybrid environments, enabling seamless data orchestration, unification, and sharing across various platforms. IDMC leverages an AI engine, for enhanced data automation, metadata intelligence, and machine learning to deliver better data management solutions that drive AI-readiness and business outcomes.

Pros

• AI-driven automation for improved data management.
• Supports multi-cloud and hybrid environments, giving flexibility.
• Low-code and no-code options, making it easier for non-technical users.
• Comprehensive data governance and privacy features.
• Robust data integration capabilities across various workloads.

Cons

• Potentially complex for small businesses due to its comprehensive nature
• Pricing may be high for smaller enterprises or those with limited data needs

Deployment options

Cloud-based solution that supports multi-cloud and hybrid deployment models.

Pricing

From $12,000 per year

Free trial

Yes

SnapLogic

SnapLogic is an integration platform that leverages AI and automation to connect applications, data sources, and business processes across an enterprise. It provides tools for data integration, API management, and workflow automation, offering a no-code, user-friendly interface. With its “Snaps” (pre-built connectors), SnapLogic enables businesses to automate complex workflows and integrate disparate systems quickly and effectively. It’s designed to streamline operations, enhance productivity, and support real-time decision-making.

Pros

• AI-powered integration features, including SnapGPT and AutoSync, for enhanced automation.
• Pre-built connectors (Snaps) for easy integration
• No-code and low-code interface, making it accessible to non-technical users
• Recognized by Gartner as a Visionary in Data Integration

Cons

• Complexity may arise for highly customized or unique integration needs
• While it offers significant capabilities, the tool may be too complicated for smaller businesses with simple operation

Deployment options

Cloud-based with multi-cloud and hybrid deployment support

Pricing

From $9,995 per year

Free trial

Yes

InfoSphere

IBM InfoSphere Information Server is a comprehensive data integration tool that allows for the extraction, transformation, and loading of data into SAP systems. It offers multiple methods of data integration, including bulk ETL, federated (virtual) integration, and incremental data replication. IBM InfoSphere supports cloud initiatives, enabling seamless data integration between on-premises and cloud environments. The platform also includes a user-friendly graphical interface for non-technical users, and its scalability helps handle complex data integration requirements.

Pros

• Highly scalable, designed to handle large data volumes and complex data workflows
• User-friendly graphical interface suitable for non-technical users
• Native API connectivity for integration with a wide range of data sources, including DBMS, big data, and packaged applications
• Strong data governance and lineage capabilities

Cons

• May be complex for smaller businesses due to its robust features and enterprise focus
• Could require significant setup and configuration for users unfamiliar with data integration processes
• Pricing details are not readily available, so it may be cost-prohibitive for smaller operations

Deployment options

On-premise

Private cloud

Public cloud

Pricing

From $20,000 per year

Free trial

No

Talend

Talend Data Fabric is a unified platform that provides comprehensive tools for ETL, data integration, data quality, and governance. It is designed to work with virtually any data source and architecture, offering a flexible and scalable solution for modern data management. The platform supports end-to-end data management, from data ingestion to delivery, and is suitable for organizations with cloud, on-premises, multi-cloud, or hybrid environments.

Pros

• End-to-end solution for data integration, governance, and quality, ensuring a seamless workflow
• A low-code platform that simplifies data management tasks, which makes it accessible to a wider range of users
• Flexible deployment options
• Strong integration with leading tech partners like AWS, Microsoft Azure, and Snowflake
• Scalability for large data environments, handling everything from small datasets to complex multi-cloud infrastructures

Cons

• The platform might be complex for small-scale implementations or companies with limited data needs.
• Full capabilities may require a learning curve for new users.
• May be expensive for small businesses with limited budgets

Deployment options

On-premises

Cloud

Multi-cloud

Hybrid-cloud

Pricing

From $4,800 per year

Free trial

Yes

Pentaho

Pentaho+ is a powerful, open-source ETL platform that offers a wide range of tools for data integration, business analytics, data quality, and optimization. It supports large datasets and offers scalability, making it suitable for businesses handling complex data analysis needs. While it is known for its robust feature set and scalability, Pentaho requires a steeper learning curve and can be resource-intensive.

Pros

• A free entry point due to open-source core
• Covers everything from basic reporting to advanced analytics
• Handles large datasets efficiently, making it suitable for complex data analysis and business intelligence
• The strong community provides valuable support and troubleshooting
• Seamlessly connects with various platforms, making it easier to integrate into existing data workflows

Cons

• Interface and functionality may be hard for non-technical users
• Limited documentation
• Occasional bugs and glitches that can impact data analysis workflows
• Processing large datasets and conducting complex analyses may require expensive hardware upgrades
• Some users desire more control over the platform’s look and feel for deeper customization.

Deployment options

On-premises

Cloud

Pricing

From $1,200 yearly (freemium)

Free trial

Yes

Azure Data Factory

Azure Data Factory is a fully managed, serverless data integration service that simplifies hybrid data integration at an enterprise scale. It allows users to build and orchestrate data pipelines code-free for the ETL process. With over 90 built-in connectors, Azure Data Factory helps users integrate data from various on-premises and SaaS sources into Azure Synapse Analytics for deeper business insights. It empowers both IT and citizen integrators to streamline data workflows while reducing manual coding efforts.

Pros

• Enables users to build data pipelines visually through the intuitive interface
• Pay-as-you-go pricing ensures that you only pay for what you use
• Over 90 connectors for a wide variety of data sources
• Backed by Microsoft’s robust security infrastructure
• Empowers users without deep technical expertise to create and manage their own data pipelines

Cons

• While the software is code-free, users may still face a learning curve in mastering its numerous features
• More advanced, custom scenarios may require deeper technical expertise or additional coding
• The pay-as-you-go pricing model can be challenging to predict for large-scale implementations

Deployment options

Cloud (Azure)

Hybrid cloud

Pricing

From $0,07 per Data Integration Unit (DIU) hour

Free trial

Yes, Azure offers 30 days of a free trial.

Conclusion

ETL process becomes much less complicated if you have a proper SAP ETL tool. Now, as you’re aware of the top SAP ETL tools for 2025, all you need to do is choose the one that covers your business needs in the best possible way.