7 Best SAP data extraction tools in 2025

Traditional data extraction methods, such as manual exports or overnight batch jobs, no longer meet today’s needs. Businesses require a modern tech stack, including data extraction tools, which can handle real-time tasks. These include automatic schema detection, smart rate limiting, and built-in error handling. 

Without an efficient extraction process, you risk working with outdated, inconsistent, or incomplete data. The right digital tool collects, processes, and loads your data into your analytics platform.

Finding the right data extraction tool presents its challenges. With numerous options available, narrowing them down can be a daunting task. Some tools promise no-code simplicity but fail to scale. Others deliver powerful features but require technical expertise. 

In this article, we explore the top seven SAP data extraction tools and guide you in choosing the best one for your business.

1. SAP Landscape Transformation Replication Server (SLT) 

• Best For: Any user who needs to use live, up-to-the-minute data for daily reports, analysis, or managing important information.

SAP Landscape Transformation Replication Server (SLT) takes data from various sources (like SAP and other software) and moves it to a new system. As it moves the data, it also cleans, filters, and changes it to the exact format needed.

This process allows you to analyze the very latest information, helping you make faster, more accurate decisions. It’s perfect for loading data into a central storage system (a data warehouse) or combining financial records from multiple places into one.

SLT keeps data consistent even if a system has a temporary problem. It’s also efficient, reducing the amount of data you need to store. You can manage all replication from a single central location and even set your own rules for how data is transformed.

Key features

• Instantly detects changes: As soon as any data is updated, the system sees the change and immediately copies it.
• All-in-one management: You can control all your data copying from a single dashboard, keeping it simple. 
• Easy data recovery: If something goes wrong, you can restore your data to a specific point in time, which helps prevent data loss.
• Transform data your way: You can set your own rules to clean, filter, or change data as it’s being copied.

2. SAP Data Intelligence (SDI) 

• Best For: Companies handling large amounts of data from various systems, including both SAP and non-SAP systems.

SAP Data Intelligence (SDI) acts as a central hub that gathers and organizes all your company’s data. It pulls information from all over the place. This includes cloud apps, your servers, and even social media.

Once it has the data, SDI cleans it up and makes sure it’s accurate and consistent. Then, you can choose to work with data instantly as it arrives or process it in large batches.

The tool also keeps your data synced across different systems, ensuring everyone is on the same page. It tracks the origin of data and any changes made, giving you full control over your information. It also helps you use your data to power machine learning for better business insights.

Key features 

• Useful search engine: You can easily search for any data your company has and see important details about it, like where it came from.
• Rules-based: Businesses can set clear rules to make sure their data is accurate and used correctly.
• Handle everything from start to finish: SDI manages the entire data journey for you by collecting, preparing, and analyzing it. 
• One place for all data info: It keeps all the information about your data (like labels and descriptions) in a single, organized library.

3. SAP Data Services (BODS or SDS)

• Best For: Businesses that need to combine data from multiple systems, improve data quality, or simplify data migration.

SAP Data Services makes it easier to extract, transform, and load data from various sources and consolidate it in one place. This type of automation platform can handle complex data transformations and reduce data siloes. You can also reduce errors, save time, and lower costs.

It can extract valuable insights from both structured and unstructured data, allowing you to view a single source of truth. The tool automatically cleans your data by fixing errors and ensuring consistency. This means you can trust that your information is accurate.

With reliable data, you can create better reports, spot important trends, and make better business decisions.

Key features 

• Comprehensive ETL tools: SAP Data Services has advanced tools that manage extraction, transformation, and loading for complex workflows.
• Efficient metadata management: Its metadata tools make it easier for businesses to organize and understand their data assets.
• Seamless data integration: Users can benefit from better data transfers as SAP Data Services has connections with many databases and cloud applications.

4. Precog 

• Best For: Companies dealing with complex data from multiple apps that want to extract data without the need for technical expertise. 

Precog is an AI data extraction tool that automatically connects to your different software apps and pulls all the information together in one place.

This saves a lot of time and effort because you don’t have to build these data connections by hand. It also helps improve your data’s quality by making sure it is clean and consistent.

Because your data is ready faster, your team can find answers quickly. It makes data easy for everyone to access, not just technical experts. This allows IT executives to focus on strategic leadership instead of being bogged down in complex data tasks.

Key features

• No-code API connectors: Users can easily link to various APIs without needing to write code.
• Scalability and efficiency: You can handle complex integration scenarios and large volumes of data with this tool.
• SAP-based integrations: This tool enables businesses to combine data from various SAP systems, including Concur, Ariba, and SuccessFactors.

5. SAP Migration Cockpit (SMC) 

• Best For: Organizations switching to S/4HANA from older SAP or non-SAP systems.

SAP Migration Cockpit (SMC) is a tool that makes it easier to move data to SAP S/4HANA. It reduces complexity by providing pre-configured templates and a step-by-step process. This means that more people can handle data migration without needing advanced skills. 

The tool improves efficiency with features like data simulation and monitoring, which save time and effort. For instance, a data simulation allows employees to test the migration process to find and fix issues before transferring data.

Its validation and automated data mapping tools ensure the data is accurate and consistent during the move. By automating much of the process, it lowers costs by reducing manual work. This allows businesses to focus on their goals instead of the technical details of migration.

Key features

• Customizable options: Users can adjust mappings and settings to fit specific migration needs.
• Flexible migration approaches: Businesses can benefit from staged migration, where data is stored in a separate database before transfer, and direct data transfer into S/4HANA.
• Support for XML and staging database loading: The tool can handle small data volumes such as XML-based files and larger volumes involving staging databases.

6. Fivetran 

• Best For: Businesses that need an easy and reliable way to move data from different sources into a data warehouse.

Fivetran is a cloud-native platform that automates moving data from different sources to a central place like a data warehouse or data lake.

It allows companies to access real-time insights quickly by automating ETL tasks, which reduces the need for manual coding. Its automated processes also improve data quality by reducing errors and ensuring consistency.

With faster access to accurate data, businesses can respond quickly to changes and make better decisions. By managing data integration, Fivetran frees up teams to focus on key data analysis tasks.

Key features

• Flexible pricing: A usage-based pricing model offers scalability and cost efficiency for businesses.
• Robust data protection: This tool offers advanced security measures and compliance with industry standards, including SOC2, HIPAA, and GDPR.
• Vast connector library: Over 500 pre-built connectors provide integration with databases and file storage systems.

7. Hevo Data 

• Best For: Everyone, including small businesses to large companies, who want to manage data without needing to code.

Hevo Data is a no-code platform that automates moving data from different sources to a data warehouse or other destinations.

It saves time by automating your data ecosystem, freeing engineers from manual work. Hevo allows you to scale as data grows and improves data quality with automated validation and transformation. For instance, it offers drag-and-drop options for simple tasks and Python-based transformations for complex requirements.

The tool also provides a single view of data from all sources, giving businesses a clearer picture. Organizations can set customizable alerts to get more information on elements such as pipeline performance.

Key features

• Ease of use: The platform is designed for users without coding expertise.
• Enterprise-grade security: Features such as encryption, two-factor authentication, and compliance with GDPR, SOC 2, and HIPAA ensure data security.
• Pipeline management: Hevo Data provides tools such as pause/resume functionality to manage your pipelines.

How to choose the right SAP data extraction tool for your enterprise 

Businesses must select the right data extraction tool to ensure accuracy and leverage data for strategic advantages. The right tool simplifies data handling and provides relevant information to support better decision-making.

Here’s what you need to take into account when choosing the right SAP data extraction tool for your organization:

Tool	Best for	Key features
SAP Landscape Transformation Replication Server (SLT)	Users needing real-time data for reporting, analysis, or centralization	Detects changes instantly, single-dashboard management, point-in-time recovery, custom transformation rules
SAP Data Intelligence (SDI)	Companies handling large, diverse data sources (SAP and non-SAP)	Centralized data hub, rules-based governance, full data lifecycle management, metadata catalog
SAP Data Services (BODS/SDS)	Businesses needing data consolidation, quality improvement, or migration	Advanced ETL tools, metadata management, seamless integration with multiple databases/cloud apps
Precog	Companies integrating complex data without technical expertise	No-code API connectors, scalable for large volumes, SAP app integrations (Concur, Ariba, SuccessFactors)
SAP Migration Cockpit (SMC)	Organizations migrating to SAP S/4HANA	Pre-configured templates, staged or direct migration, XML, and staging database support
Fivetran	Businesses moving data to warehouses with minimal manual coding	Usage-based pricing, strong security (SOC 2, HIPAA, GDPR), 500+ pre-built connectors
Hevo Data	All sizes, no-code data movement and management	Drag-and-drop or Python transformations, enterprise security, pipeline pause/resume tools

Enabling data-driven decisions through smart SAP extraction tool choices

Accurate SAP data drives customer success by supporting better decisions. Choosing and implementing the right extraction tools allows businesses to generate reports quickly and perform advanced analysis. 

Successful implementation also ensures these tools align with business goals. Teams should collaborate during both the selection and implementation processes to ensure the new extraction tools can partner well with existing systems. 

There should also be a feedback initiative available so that employees can have their say on what works.  By leveraging the right SAP extraction tools, businesses can turn data into actionable insights for long-term success.