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Top 5 data integration tools for non-technical business: Review 2024

In the global digital transformation, if you have not yet automated your operation, you will miss various opportunities for growth. According to some research, the data integration market boom in recent years valued $3.3 billion in 2020, $11.6 billion in 2021, $4.6 billion in 2022, and $13.6 billion in 2023. It’s also estimated to reach $18.71 billion by 2029. Let’s come with me to know what it is and discover which of the top 5 data integration tools will be your powerful assistants in digital transformation.

What are data integration tools?

What are data integration tools

Data integration is considered a magic process for connecting your business data from multiple sources. From this, all of your organization’s information, such as spreadsheets, databases, cloud storage, or social media, will be accurately updated in real time. Data integration ensures this data is cleaned, transformed, and consistent so it can be easily analyzed and used for better decision-making.

So, how to integrate your system data?

We will do it through data integration tools that can collect, combine, transform, and transfer from multiple data sources into a unified view for analytics. It’s your powerful assistants in the digital transformation period.

Why is data integration important?

Let’s imagine your customer’s information. It will be saved in separate systems or software, for example, the online store website, the CRM system, the POS system, or even the ERP system. Without data integration, every time you update any customers, you have to manually change the remaining systems. As a result, without customer data integration, you will waste a lot of time on a simple task, and you will even face big errors if you enter the wrong data.

Besides, using the data integration tools breaks your organization’s limits by unlocking the true potential of the information.

  • Improved efficiency
  • Stronger communication and collaboration
  • Enhanced customer insight
  • Data-driven innovation
  • Better decision making

Types of data integration solutions

Data integration will not proceed in a stereotypical manner; it will be based on your specific tasks to decide the right data integration solution. To unify this realm and unlock its true potential, a council of specialized tools assembles. Let’s take a look at some type of data integration solutions

Extract, Transform, Load (ELT)

As its name indicates, ELT is a data integration methodology that includes 3 processes: extract, transform, and load. It helps you combine data from multiple sources into a simple format for analytics.

  • Extract: It acts like a data courier that ventures out to various data sources.
  • Transform: filtering and aggregating data, such as to remove duplicates, covert formats, add information, or so on.
  • Load: Moving all extracted data from various sources to the financial destination, such as data warehouses or cloud environments.

Enterprise Application Integration (EAI)

EAI acts like a communication bridge between your organization’s applications. It facilitates your applications by allowing them to connect, exchange, and transfer data to streamline the management of processes. Enterprise application integration

 can automatically update data across various apps, such as customer relationship management, point of sale, analytics applications, accounting software, and other business applications.

Data Visualization

It is a data integration methodology that helps you transform complex data sets into simple visual representations. Data visualization uses common graphics, such as bars, plots, charts, animations, or infographics, to display complicated data relationships or data-driven insight in a easy way. Its information can include sales revenues, trends, marketing performance, inventory levels, customer interaction, costs, and other KIPs.

Cloud-based Integration

It’s one of the most modern data integration methods, connecting data from multiple applications, systems and IT environments and then leveraging the power and flexibility of cloud platforms. The cloud-based integration method  offers scalability, flexibility, and cost-effectiveness, making it a compelling choice for businesses of all sizes. By carefully considering your needs and addressing potential drawbacks, cloud-based integration can be the key to unlocking the true potential of your data. 

Hybrid Integration

The hybrid integration method works as the bridge between on-premise systems and cloud applications. It can break down the data silos and create a seamless information process. With hybrid integration, you can run not only on local servers but also cutting-edge cloud-based tools. No matter your specific needs, a hybrid integration platform is essential for this approach. It offers the flexibility to connect and manage the mix of SaaS applications and on-premise system integration that power your business.

Top 5 best data integration tools for non-technical business

HexaSync Integration Platform

HexaSync Integration Platform app

HexaSync is a global data integration platform that helps organizations connect eCommerce, POS, accounting, ERP, CRM, Marketplace apps, and more to automate business processes by using API integration.

  • eCommerce integration.
  • POS integratio.
  • CRM integration.
  • ERP integration.
  • Accounting integration.
  • Marketplace integration.

At its core, HexaSync works as a middleware platform to access and map data. So, it can integrate the legacy system with modern SaaS applications. Using this data integration tools, users do not need to re-invest in existing devices, as long as they are still usable. As a result, businesses can save a lot of money and time by adapting to new, modern equipment.

Microsoft Azure

Microsoft Azure

Microsoft Azure is a powerful data integration platform, particularly for businesses already invested in the Microsoft environment. Its cloud-native approach, diverse connectors, and integration with advanced analytics and AI services make it a compelling choice for modern data needs. However, it’s important to weigh the potential for vendor lock-in and the learning curve against your specific requirements before making a decision.

Some of data integration tools from Microsoft

  • Azure Functions.
  • Azure Data Factory.
  • Azure Logic Apps.

MuleSoft Anypoint Platform

MuleSoft Anypoint Platform

MuleSoft, one of the leaders in application network technology, enables businesses to connect apps, data, and devices across various environments with its Anypoint Platform. By adopting an API-led approach, MuleSoft offer the data integration tools to streamline operations, enhance integration, and drive innovation.

They offer a range of products designed to facilitate application integration and API management, including:

  • Anypoint Platform.
  • API Designer.
  • API Manager.
  • Anypoint Studio.
  • Anypoint Connectors.
  • Anypoint Exchange.
  • Anypoint Runtime Manager.
  • Anypoint MQ.



Boomi is a cloud-based integration platform that simplifies the connection of applications, data, and systems across diverse environments. Known for its low-code approach, Boomi enables businesses to streamline integration processes, enhance efficiency, and accelerate digital transformation. Explore how this data integration tools can help your organization achieve seamless interoperability and real-time data access.

  • Boomi AtomSphere Platform.
  • Boomi Integration.
  • Boomi Master Data Hub.
  • Boomi Flow.
  • Boomi API Management.
  • Boomi Data Catalog and Preparation – Assists Organization.
  • Boomi B2B/EDI Management.



IBM Cloud Pak for Data is one of the data integration tools that breaks the gap between on-premise data and cloud applications, creating a unified information hub. Real-time data is a breeze, and IBM’s AI automates tasks and keeps things secure. Powerful, but potentially pricey and requires tech expertise.

Some of the data integration services offered by IBM include:

  • IBM DataStage
  • IBM Data Replication
  • IBM Data Visualization
  • IBM Databand
  • IBM Knowledge Catalog


By using data integration tools, you can make it easier to join the digital world and leverage all opportunities for growth. They offer user-friendly interfaces and pre-built connectors, making them accessible even for non-technical users. If you want to seamlessly integrate your data, please feel free to contact us.

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