Should you choose or SSIS? Here are five differences between these data integration platforms:

  1. and SSIS both move data from various sources to an alternative destination. For example, you can use these platforms to transfer data to a data warehouse and then run that data through business intelligence tools.

  2. SSIS uses Microsoft Visual Studio and requires lots of lines of complex code, making it a confusing tool for non-developers.

  3., on the other hand, offers a low-code drag-and-drop interface that practically anyone can use, regardless of their coding or data engineering experience. The platform has over 100 out-of-the-box connectors that make data integration simple. 

  4. You can, therefore, use to move data to another destination via ETL, ELT, ReverseETL, or super-fast Change Data Capture without breaking a sweat.

  5. Unlike SSIS, is specifically designed for e-commerce, helping retailers and merchants move data between sources for more accurate insights about their online enterprise. or SSIS? These two platforms essentially do the same thing — move data between sources for enterprise-level data integration and data transformation — but do it in very different ways. After reading this comparison review, you can decide whether or SSIS is the better choice for your business. 

Table of Contents is the data warehouse integration solution that doesn't require in-depth knowledge of programming. With its deep e-commerce compatibility, the platform moves data from one location to another without lots of coding or complicated jargon, making it a revolutionary tool for your enterprise. Now you don't need a degree in data engineering to generate valuable insights about your business! Learn more. or SSIS: What is is a data warehouse integration solution designed specifically for e-commerce. It transfers data from sources such as customer relationship management (CRM) systems and or e-commerce platforms like Shopify and BigCommerce to a data warehouse (or data lake). That means you can finally have a single source of truth (SSoT) for data that exists in your enterprise. 

After moving data to a warehouse of your choice, you can run that data through business intelligence (BI) tools and learn more about customers, workflows, workloads, and your company as a whole. comes with over 100 sources for data integration. These sources include tools used in e-commerce such as Salesforce, as well as data warehouses such as AWS, Azure, Snowflake, and BigQuery. 

What is SSIS?

Microsoft SQL Server Integration Services (SSIS) is a component of the relational database management system (RDBMS) SQL Server. Like, you can use it to cleanse, aggregate, and extract data and, ultimately, move it between sources to a final destination such as a data warehouse. 

SSIS is available through Microsoft's Business Intelligence suite. It is the legacy tool that Microsoft created after Data Transformation Services (DTS). 

Formerly SQL Server 2005, SSIS has evolved over the years and now offers users updated package configuration features, new SQL server data tools (SSDT), better project deployment, enhanced support, and improved storage. (Other iterations of SSIS include Microsoft SQL Server 2012, SQL Server 2014, and SQL Server 2016.) Today, the platform allows you to move big data from SQL Server databases, DB2 databases, Azure Data Factory, and other locations. 

How Does or SSIS Move Information Between Data Sources?

You can use or SSIS to move data between locations via the following data integration methods:


Extract, Transform, Load (ETL) is a data integration technique that extracts data from a source such as a database like Oracle or MySQL, RDBMS, SaaS applications, or e-commerce tool and cleanses and transforms that data so it's in the correct format for a data warehouse (and BI tools’ analysis services). An ETL tool then loads data to a warehouse.


Extract, Load, Transform (ELT) reverses the Load and Transform stages of ETL. It extracts data from sources and then loads that data to a warehouse before transforming it. This data integration method is often beneficial if you want to move large data loads to a warehouse quickly. 


ReverseETL moves data from a data warehouse to an operational system such as a CRM or e-commerce tool, essentially completing the ETL process backward. 

Change Data Capture

Change Data Capture (CDC) syncs two or more databases, allowing you to see all changes made to data in those databases in real-time.

Still can't decide between or SSIS? revolutionizes data integration by simplifying the entire process. Now you don't need to code complicated data pipelines or decode the jargon used by data engineers. Contact to discover more. or SSIS? Usability and Functionality

The major difference between and SSIS is how you complete data integration. Microsoft's tool relies on knowledge of Visual Studio and requires lots of coding to successfully move data between sources, making it an unsuitable choice for non-developers., however, comes with over 100 out-of-the-box connectors, allowing you to sync data between locations with no manual pipelining. There's no need to learn Visual Studio code! SSIS offers Connection Managers that automate data flow task issues, but you'll still need to code significantly more than when using


SSIS's Connection Managers connect with various Microsoft services (Excel, for example), APIs, databases, data types, and file formats such as XML, helping you move data between locations. However, there are no Connection Managers for many of the tools used in e-commerce, such as Shopify, Salesforce, and CRMs. You also won't find connections for data warehouses (even Microsoft data warehouse solution, Azure), making data integration a convoluted process. In this respect, and SSIS are completely different platforms. 

Data Security

You can use or SSIS for improving data security when moving information between locations. Microsoft’s tool, for example, encrypts SSIS packages and then requires a password from users to access those packages. also encrypts sensitive data such as connection credentials, helping you improve data quality and adhere to data governance regulations in your jurisdiction or industry. These regulations might include GDPR, CCPA, or HIPAA. The platform hosts and manages its physical infrastructure within Amazon's data centers comply with SOC 2, and uses SSL/TLS.

Should You Choose or SSIS?

So, or SSIS? While SSIS, in one form or another, has been a reputable platform for over 15 years, it requires a very specific skillset that you don't need when using Microsoft's data integration platform relies on Visual Studio and needs lots of coding and data engineering experience that many enterprises like yours lack. Using, with its drag-and-drop user interface and low-code/no-code connectors, is far easier than SSIS. You can move data without building complex pipelines or learning engineering jargon. That's what makes it such a revolutionary data integration tool.

Another benefit of is its deep e-commerce capability. While SSIS might be useful in some e-commerce environments, the tool isn't really compatible with the selling of goods and products online. With, you can move data from sources such as Shopify and BigCommerce to a warehouse of your choice and start generating insights about your digital enterprise. If you own an online store, for example, is, by far, the superior solution. is a data warehousing platform built for e-commerce that offers world-class customer service, enhanced security, simplified pricing, and over 100 out-of-the-box connectors. There's no jargon or lots of complicated code. Schedule an intro call and integrate this powerful solution into your enterprise today!