Data integration is the process of combining data from multiple sources into a single, unified destination. An ETL tool can help streamline this process, as it automatically extracts data from various sources, transforms it, and loads it into a target warehouse.

By using an ETL tool, organizations reduce the cost and complexity of data integration, improve data accuracy, and ensure data security and privacy.

Here are the five key things you should know about Microsoft SQL ETL tools:

  • Microsoft SQL Server is a relational database management system (RDBMS) that's used to store and manage large amounts of data.
  • ETL (extract, transform, load) tools are required to ensure data is integrated between external sources and Microsoft SQL Server.
  • There are various Microsoft SQL ETL tools, including, Talend, Informatica PowerCenter, Fivetran, and SSIS.
  • Not all ETL tools are created equal. You must choose the ETL tool that fits your specific needs.
  • is a cloud-based data integration platform that enables users to create complex data pipelines without the need to code.

If you use Microsoft SQL Server, you're in luck. Here, we'll look at the top five Microsoft SQL ETL tools for data integration, reviewing their capabilities to help you choose the right one for your organization.

Table of Contents

  2. Talend
  3. Informatica PowerCenter
  4. Fivetran
  5. SSIS

What Is Microsoft SQL Server?

Microsoft SQL Server is a relational database management system (RDBMS) developed by Microsoft that stores and manages large amounts of data. Businesses and organizations in many industries use it for data storage, analysis, and security. 

It's one of the essential server data tools for any data-driven business. Microsoft SQL Server provides a wide range of utilities, including but not limited to querying, organizing, and managing the data in databases.

The Importance of Microsoft SQL ETL Tools

ETL tools are critical for efficiently and effectively managing data integration between various sources and the SQL server.

These tools can be configured to automatically extract data from different sources, transform it into a format that's suitable for analysis, and load it into a data warehouse or data lake.

Top 5 Microsoft SQL ETL Tools

There are many Microsoft SQL ETL tools on the market. However, they're not all created equal. Here, we've compiled five of our top choices, including, Talend, Informatica, Fivetran, and Microsoft's own SSIS (SQL Server Integration Services).

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Rating: 4.3/5.0 (G2)

Key Features

  • Reverse ETL
  • Low-code/no-code operation
  • Hundreds of pre-built connectors, including with Microsoft SQL Server is a cloud-based data integration platform that enables businesses to connect data from various sources and systems, transform it, and load it into target destinations.

Its intuitive drag-and-drop interface and hundreds of pre-built connectors make it easy for anyone to create complex data pipelines, regardless of their technical knowledge.

The platform has advanced ETL and reverse ETL capabilities, meaning it can send data to your Microsoft SQL Server databases and read data from them. Moreover, can transform the data after it's loaded into your target system via its ELT functionality.

You can use the built-in data transformation functions to clean, enrich, and transform your data. These functions allow you to aggregate, filter, and convert data into different types.

You can also configure various alerts to get notified of any data problems caused by upstream changes (e.g., in business applications). And the best part is that you get three free data alerts forever.

In addition, you can rely on’s data governance and compliance features to ensure your data is always secure and compliant with regulatory requirements, which is especially useful for companies that capture PII.

You can access’s ETL and reverse ETL functionalities by choosing one of three pricing plans:

  • Starter plan ($15,000 per year): This plan comes with unlimited packages, transfers, and users, giving you access to two connectors and a scheduling cluster. 
  • Professional plan (25,000 per year): This plan is better suited for larger organizations as it features a 99.5% SLA, advanced security features, and two scheduling clusters.
  • Enterprise plan (customized based on your needs): As its name suggests, this plan is best for enterprises with advanced data integration requirements. You'll get unlimited REST API connectors, a source control development and QA account, a SOC2 audit report, and more.

Regardless of the plan you choose, you'll benefit from industry-leading 24/7 chat, email, and phone support to help you with virtually any issue you might face.

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2. Talend

Rating: 4.2/5.0 (G2)

Key Features

  • CDC
  • Built-in connection with Microsoft SQL Server

Talend is an open-source data integration platform that provides a wide range of tools to help businesses simplify and automate their data integration processes. It offers a wide range of built-in connectors that can seamlessly integrate data sources with your Microsoft SQL Server.

The platform includes a variety of data cleansing and validation tools that help ensure your data is accurate, consistent, and reliable. This is particularly important for decision-making and data analysis.

Talend features a powerful job scheduler and monitoring system, making it easy to automate ETL processes and track performance metrics. This can help you improve the efficiency of the data integration processes and reduce the risk of errors or data inconsistencies.

Talend doesn’t openly disclose its pricing, meaning you must contact its sales department for a custom quote based on your specific needs. Keep in mind that costs can vary depending on the functionalities you want to use and the amount of data you generate. 

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3. Informatica

Rating: 4.2/5.0 (G2)

Key Features

  • AI-driven automation
  • Built-in Microsoft SQL Server connector

Informatica is a data integration platform with several key features and benefits for businesses working with SQL databases. One of the main advantages of this tool is its advanced data mapping capabilities. 

You can leverage Informatica’s metadata-driven AI technology to automate various data management tasks to increase productivity and accelerate data delivery.

Informatica offers a built-in connector to Microsoft SQL Server to speed up the cloud data integration, ingestion, and transformation process. The platform also includes built-in data profiling and validation tools that can help you identify and resolve data quality issues before they become major problems. 

Like other tools on this list, Informatica doesn’t display its pricing, so you'll have to contact their sales department for a custom quote.

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4. Fivetran

Rating: 4.2/5.0 (G2)

Key Features

  • Automated ETL
  • 300+ built-in connectors, including an SQL Server integration
  • Enhanced security features

Fivetran is a cloud-based data integration platform that simplifies data integration by automating the ETL process. It helps businesses consolidate data from various sources into their Microsoft SQL Server.

One of Fivetran's key features is its ability to automate data extraction from over 150 sources, including popular marketing tools, CRMs, and databases. It automatically replicates the data to the desired SQL database in near real-time.

In addition, you can use SQL-based transformations to manipulate the data before it reaches its destination. This tool supports advanced data encryption and complies with industry regulations such as GDPR and HIPAA.

Fivetran's pricing model is based on the number of connectors and the amount of data processed. You can choose between three paid plans or try it out by signing up for the free plan.

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Rating: 4.4/5.0 (Gartner)

Key Features

  • Part of Microsoft SQL Server
  • Drag-and-drop interface
  • Built-in data transformation capabilities

SQL Server Integration Services (SSIS) is a data integration platform and part of Microsoft SQL Server. One of the key features of SSIS is its drag-and-drop graphical user interface, which helps data teams visualize complex data integration workflows. 

Another important feature of SSIS is its powerful data transformation capabilities. It provides a range of built-in data transformation tasks, such as merging and sorting data, aggregating data, and converting data types. You can also create custom transformations using a .NET script.

SSIS is available as part of Microsoft SQL Server, so there's no additional cost for using it if you already have an SQL Server license. 

Even though you can access it for free, SSIS has limitations that are worth noting:

  • It has a steep learning curve.
  • It only features a limited number of third-party connectors.
  • Setting up complex workflows requires experienced developers and data engineers.

Simplify Data Integration With

If you want to streamline your data integration process and create a single source of truth, is the tool for you. With its intuitive drag-and-drop interface and hundreds of built-in connectors, you can create data pipelines without technical expertise.

Microsoft SQL ETL FAQs

What Are Microsoft SQL ETL Tools?

Microsoft SQL ETL tools are software apps that enable users to extract, transform, and load data between different databases and data warehouses. They work by extracting data from various sources, transforming it into a desired format, and loading it into a destination system, such as SQL Server.

Which Tool Is Best for Microsoft SQL ETL?

The right Microsoft SQL ETL tool will depend on your specific needs. For instance, if you're looking for an enterprise-grade solution that allows for complex transformations and custom logic, an enterprise-level ETL tool such as Talend or Informatica might be the right choice.

On the other hand, if you're looking for an easy-to-use, low-code/no-code solution that's accessible to everyone regardless of their technical skill level, then is the ideal choice. is designed to make it easy for teams of any size and skill level to build data pipelines quickly. It provides powerful data transformation capabilities, including the ability to create complex data mappings, filter data, and perform data deduplication.