Outline

Data, as we know, is at the center of all commercial activities today. It is critical that the data is captured and analyzed the right way so that businesses can make well-informed decisions. It is what forms the core of business intelligence. Data integration tools are used to process the real-time data, and the right choice of such devices can break or make the business. 

This blog today will talk about 15 top data integration tools that businesses can use for optimal decision-making. 

Introduction

Let us first understand, ‘what is data integration?’

Definition of data integration is the method of blending data from varied sources, transforming it into an interpretable structure to offers meaningful information to the business. 

Business entities need tools to seek data or extract data from all such incongruent and unrelated sources, load and record the same in a valuable database.  

  1. Data integration example
  2. List of Tools

1. Data integration example

The retail sector is one of the living examples of data integration. Big and medium-sized retail outlets today have physical brick-and-mortar shops and online e-stores. The data captured at each of these endpoints need to be loaded onto one specific location or centralized database so that the business can effectively use it to manage the inventory, sales, promotional offers, track performance of different metrics, and more. 

Another typical example of how data integration platforms are helping businesses is in the healthcare sector. In hospitals, patient data needs to be collected from different departments and present in an integrated manner at a central place to be assessed by all concerned.

2. List of Tools

Before we understand the top 15 data integration tools, let us first understand how these tools help?

What are data integration tools?

These tools are software programs that enable optimizing data integration. There are two types of tools – one, which is paid; and the other that are open-source or free. Businesses are open to using data integration tools as per their business needs and requirements. These tools’ objective is to collect the data from different sources, transform and map the data after cleaning it as per business requirements. Integration tools like these are synced with data quality software programs and data governance tools for the business’s effective running.

Best data integration tools

A) Oracle Data Integrator

Made by one of the world’s top software companies, Oracle, this tool is a top BI system. It is a one-of-its-kind ETL or Extract, Transform, and Load tool that enables the building up a top-quality and feasible data warehouse. The speed of this data integration tool makes it one of the popular choices in the corporate world. 

B) Automate.io

It is a software tool that helps align the sales and marketing business processes, helping automate e-commerce, CRM, helpdesk, and web forms. The tool helps format data and uses conditional logic by securing the data using encrypted technology. It enables automating and harmonizing data between multiple apps. The UI is intuitive, with drag-and-drop features.

C) DataDeck

It is another online integration tool that offers fast and easy connectivity and automates the analysis and sharing of data seamlessly. The best part is that you can access it via mobile, and you can receive notifications. There are ready-made templates with connectors to social media platforms. The tool helps the team to set goals and monitor results.

D) ArcESB 

This powerfully built data integration software has a user-friendly interface that is intuitive and smart. The tool has been made using low-codes that facilitates faster installation and integration. The seamless design is a big plus-point of the tool. The device comes with a Free Core Automation Framework, can be used on-site or cloud-based, has 100 no-code connectors for different functional areas, and offers a visual interface.

E) Skyvia

It is one of the best real-time data integration tools with non-coding integration features supporting CSV files. It has an easy-to-use wizard-based system that is easy to work with. The graphic UI makes it easy to operate and simple. The other key feature is the auto-detection of erroneous data.

F) Apache Nifi

With end-to-end tracking, the tool offers seamless data flow. It also has pre-designed processors but permits the user to design their processors that depend on their business needs. Scalable, smart UI, visual flow, and easy to operate tool!

G) Xplenty

It is an online ETL software system that comes with in-built compliance best practices. The best feature is that the tool offers a graphical interface that enables the management of a humongous amount of data with ease and flexibility. Has interfaces that allow data to be cleaned and transformed by users.

H) Panoply

The data integration application collects data from all types of sources and offers a safe warehouse with in-built ETL functionality for syncing and storing data. Minimal data stack maintenance required, and data governance at table-level are some good features.

I) QlikView

This powerful tool uses sound data integration technologies. The interface is simple with drag-and-drop features, easy navigation, instant response to interactions, and acquire data from varied data sources.

J) Talend

It is a robust and strong data integration tool that is scalable and has a faster response timeThe tool has big data and cloud potential, made with advanced technology that can be processed by Machine Learning.

K) Information Builders

This tool offers optimized big data management solutions and uses the Hadoop-based method for data integration. It is highly compatible, flexible, with B2B integration capabilities. The tool comes with improved security due to data encryption technology.

L) HVR

It is one of the best data integration solutions with the potential to process huge data volumes. Other features include- superior database performance, real-time updation, increased data movement, and single set-up for all data integration scenarios.

M) Snaplogic 

It is a cloud-based integration tool. The tool is marked by high security, offering visual integration—no need for coding, offering optimized data management flow through the entire lifecycle of the data.

N) Alooma

The tool extracts and transforms the data and finally connects it to the cloud—all of this with complete accuracy. The tool allows native and custom integrations with no latency. It is scalable and operates in the cloud and on-premise.

O) Adeptia Connect

Works for the entire enterprise while helping users to map, transform, and integrate data seamlessly. The User Interface is simple and uncomplicated, no coding knowledge required, is flexible, and supports agile environments. It also helps work happen cost-effectively.

Conclusion

The right tool for the data integration process is critical for the optimal performance of your business. Picking the right data integration tool depends on the user-friendliness, the costs, customer support quality, scalability and flexibility, training costs, the company’s support, and how the company is reviewed by its past and present customers. 

If you are interested in making a career in the Data Science domain, our 11-month in-person Postgraduate Certificate Diploma in Data Science course can help you immensely in becoming a successful Data Science professional. 

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