Top Tools / March 28, 2022

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Top 20 Cloud Data Integration Tools

As IT systems get more complicated, the requirement to link various and disparate data and services grow. Cloud-based data integration platforms cater to this business demand. These applications make use of cloud computing to assist a company in connecting, managing, storing and integrating data from various sources, as well as ensuring that important data is available on demand. Cloud data integration tools integrate the acquired data in a way that the data is complete, accurate, and up to date.

Here is a list of the top tools that will help you in cloud data integration.

1. Hevo Data

Hevo Data is a No-code Data Pipeline that enables you to transport data from 100+ sources to your selected Data location and display it in a business intelligence tool. Hevo is fully controlled and automates the procedure of not only uploading files from your selected source, but also augmenting and converting it into an analysis-ready format, all without writing a single line of code.

Key Features:

  • Hevo's fault-tolerant structure makes sure that data is handled securely and consistently, with no data loss.

  • Hevo automates the arduous work of schema management by detecting and mapping the schema of data received to the target schema.

  • It scales horizontally as the number of sources rise, processing thousands of records every minute with extremely minimal delay.

  • Hevo allows you to send data that has been changed in real time. This guarantees that bandwidth is used efficiently on both ends.

  • Hevo helps you to keep track of data flow and see where it's going.


Pay as you go

2. IBM App Connect

IBM provides a multi-tenant, cloud-based system that enables businesses to quickly integrate apps and other business systems. It is based on an autoconfiguration method rather than coding. IBM App Connect supports a wide range of connectivity types, from classic SOA to current event, API, and microservices-based integrations, thanks to augmented intelligence.

Key Features:

  • It comes with several pre-built secure connectors, as well as comprehensive integration features.

  • The robust integration and data processing capabilities of IBM App Connect make it a good catch for programmers

  • Throughout all environments, IBM App Connect rapidly integrates applications and data from current systems and modern technologies.

  • It allows businesses to publish integration artifacts using enterprise service bus and agile integration architecture microservices.



3. Dell Boomi

Dell Boomi is a cloud-based integration tool that enables organizations to easily integrate programs, partners, and clients through the web, thanks to a visual designer and a range of pre-configured elements. Boomi is capable of a wide range of fascinating jobs for businesses of all sizes.

Key Features:

  • It includes everything you'll need to create and maintain connections between two or more endpoints.

  • This technology, which is utilized by both SMBs and major corporations, provides a number of program integrations as a service.

  • Dell Boomi has a variety of connection and data management capabilities, including private cloud, on-premises, and public cloud endpoint interfaces.

  • Businesses can use the tool to handle Data Integration from a single location using a unified reporting platform.


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4. Cleo

Cleo, with a choice of connectors and APIs, allows businesses to connect to corporate and SaaS services. The tool takes, translates, orchestrates, links, and unifies all B2B data types from every source and to any target destination automatically, and it may be deployed in a variety of ways.

Key Features:

  • Cleo Integration Cloud can be used as a managed service to outsource challenging integrations to the vendor's specialists for SaaS.

  • Blends the B2B integration abilities on a single platform

  • Offers end-to-end visibility for identifying and solving issues

  • Improves efficiency by automating API and file-based integrations onto a single platform


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5. Informatica PowerCenter

Informatica is a firm that specializes in data integration software. It offers services such as ETL, data masking, data management, data backup, data virtualization, master data monitoring, and more. It can connect to a range of heterogeneous sources and retrieve data from them, as well as execute data processing.

Key Features:

  • The PowerCenter platform is a holistic platform for data integration, transfer, and verification.

  • It's part of a larger suite of tools for big data integration and other such data management tasks.

  • If you have a lot of old data sources that are mostly on-premise, Powercenter is a smart solution.

  • Tasks are executed by the PowerCenter server based on workflows specified by workflow managers.


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6. Tibco ActiveMatrix Business Works

Businesses can construct services, manage services, collect, and publish events from internal and external applications and technologies using TIBCO's cloud-based data integration solution. In a no-code, standards-based IDE, teams can easily build and graphically test integration methods.

Key Features:

  • The program supports an open-API framework that uses Java and a drag-and-drop interface to increase speed.

  • The ability to remember mappings created during a smart mapping session has been added.

  • It is a scalable and easy-to-use integration platform that allows you to build integration projects.

  • Tibco leverages the power of real-time data to help people make better decisions faster.


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7. Talend

The Talend platform enables in-memory data processing at a large scale. It includes graphical features and wizards that create native code for popular platforms such as Apache Hadoop, Apache Spark, and NoSQL databases.

Key Features:

  • It has architecture that is highly scalable, adaptable, and smart that can support a wide range of integration roles

  • Excellent integration with cloud services including Amazon Web Services, Microsoft Azure, and Google Cloud networking platforms

  • Rich graphical user interface and powerful tools that work with all major web and cloud systems.

  • Its easy-to-use interface is simple to learn and provides a fast development framework


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8. Flowgear

Flowgear is an integration Platform as a Service company based in South Africa that provides enterprise software integration capabilities. For programmers, their solution offers a balance of technical complexity and ease of use. The data transportation infrastructure and cloud-based task hosting are all features of Flowgear, which is cloud-native.

Key Features:

  • DropPoints are lightweight services that allow on-premise applications to connect to cloud-based systems.

  • The integration lifecycle can be approached in two speeds with Flowgear.

  • Both traditional and cloud apps and data sources are well supported.

  • Provides a wide range of tools and programs to help with a variety of activities.


$999 per month

9. Pentaho

ETL tools in Pentaho Data Integration make the process of getting, filtering, and storing data in a coherent and consistent manner much easier. Data Integration in Pentaho is incredibly popular, and it has become the most extensively used and requested Data Integration element.

Key Features:

  • Transferring data from numerous data sources to the database is a common Data Integration use case.

  • Pentaho is noted for its straightforward learning curve and ease of use.

  • Even outside ETL to a Data Warehouse, Pentaho covers a variety of use cases.

  • Pentaho's graphical interface lets users make ETL jobs without having to write code.


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10. InterSystems

InterSystems has a number of data management and analytics tools tailored to certain industries. The Ensemble Integration Engine is a framework for integrating applications and processes. InterSystems Ensemble saves data as items in a high-performance, multi-model data repository, allowing for a coherent framework of the solution's underlying systems, programs, and services.

Key Features:

  • High-availability solutions and a flexible security approach with enterprise-wide provisioning support the product.

  • Offers innovative data solutions for businesses with critical requirements

  • Helps build high-performance applications that connect data

  • It is a data platform designed particularly for extracting value from healthcare data.


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11. SnapLogic

SnapLogic is an integration platform as a service that provides businesses with quick integration services. It is a user-friendly browser-based UI with over 500 pre-built connectors. A user from any area of business can use SnapLogic's Artificial Intelligence-based assistant to easily combine the two platforms using the click and go functionality.

Key Features:

  • SnapLogic provides reporting capabilities that allow customers to see the status of an ETL job using graphs and charts.

  • It has the most basic user interface, making self-service integration possible for anyone. The source and destination can be integrated by anyone with no technological experience.

  • SnapLogic's sophisticated system detects any EDI problem and immediately warns the user and generates a log report.

  • SnapLogic is a user-friendly Data Integration tool designed for consumer integrators with little or no technical knowledge.


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12. MuleSoft

MuleSoft is a B2B app delivery service that uses APIs to connect data, apps, and devices. The provider provides API connectivity to a diverse range of on-premise and cloud-based apps and systems, allowing enterprises to better their programs through integration.

Key Features:

  • MuleSoft has an expanding capabilities range and offers both conventional and Integration Platform as a Service offerings.

  • Integrates with hundreds of systems using prebuilt connectors, templates, and integration models, reducing time to value.

  • Combine their technology with a tried-and-true methodology to help you get things done quickly now and in the future.


Free trial

13. Jitterbit

Jitterbit is a harmonious integration tool that allows businesses to connect applications and services via API connections. It works with cloud, on-premise, and SaaS apps. It offers AI features such as speech recognition, real-time language interpretation, and a recommendation system in addition to Data Integration tools.

Key Features:

  • With the pre-built Data Integration services templates, Jitterbit's Workflow Designer enables users to establish new integrations between two apps.

  • It includes an Automapper to assist you in mapping comparable fields, as well as over 300 equations to make the transformation process quicker.

  • Jitterbit creates a digital environment where integrations can be tested without disturbing live systems.

  • Jitterbit may be used to rapidly solve complicated integrations.


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14. OpenLegacy

OpenLegacy converts complex legacy systems into APIs or serverless services. Digital-Driven Integration is available on-premise and in the cloud with its API Software solution. Users can create digital services from more than 50 different back-end platforms using Automatic Code Generation, which requires no particular skills or adjustments to legacy systems.

Key Features:

  • Users can bypass complex technology levels and boost the effectiveness of their APIs by using direct-to-legacy connections.

  • OpenLegacy allows businesses to create, automate, and maintain legacy integrations in one location

  • Makes legacy integrations easy to reuse and deploy in any cloud environment.

  • OpenLegacy untangles and optimizes data flow from various systems, allowing teams to take digital innovation to market faster.


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15. Zigiwave

Zigiwave is an ITSM, Management, DevOps, Cloud, and CRM data integration solution. Its No-code UI for simple integrations allows you to automate your workflow in only a few clicks. Users can map objects of any level with the help of its extensive integration features.

Key Features:

  • Zigiwave is a secure Data Integration solution because it operates as an intermediary between two systems and does not keep any data.

  • Zigiwave is a no-lag Data Integration tool for businesses since it synchronizes data in real-time.

  • It is very adaptable and adjustable, allowing users to select and map data according to their own requirements.


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16. IRI Voracity

IRI Voracity is a Data Integration solution that supports federation, data masking, data integrity, and MDM integrations, as well as the ability to connect two apps using its sophisticated APIs. It provides an eclipse-based GUI workspace for performing integrations, conversions, and Hadoop operations. Along with strong Data Integration technologies, it provides various GUI-based features that make data transfer easier to grasp and track.

Key Features:

  • For ETL tasks, IRI Voracity creates thorough reports that allow users to trace all activity and log all problems.

  • It also allows customers to connect their data to other Business Analytics and Intelligence applications, allowing them to evaluate their data in one spot.

  • With the assistance of a GUI wizard, users can alter, normalize, and denormalize their data.


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17. Oracle Data Integrator

Oracle Data Integrator is a well-known Data Integration solution that allows for smooth data integration of SaaS and SOA-enabled data solutions. For corporate users, it also has easy compatibility with Oracle Warehouse Builder. It includes graphical user interface (GUI) features for a more efficient and enjoyable user experience.

Key Features:

  • It automatically finds and recycles incorrect data white data loading and transforming processes before reloading it.

  • It works with all RDBMSs, including Oracle, Teradata, Netezza, and Sybase IQ, as well as other file formats including XML and ERPs.

  • Its one-of-a-kind ETL architecture boosts data transformation productivity while lowering maintenance costs.

  • Oracle Data Integrator's unique ETL design eliminates the need for specialized ETL servers, lowering hardware and software maintenance expenses.


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18. Celigo

Celigo is an iPaaS Data Integration platform that allows you to click and go. It automates the majority of your data extracting features and transforms to destination workflow. It includes several pre-built connections for most Cloud platforms used on a regular basis in the industry. Its easy-to-use interface allows both technical and non-technical users to complete data integration tasks in moments.

Key Features:

  • Celigo's Flow Builder is a low-code GUI-based tool that allows customers to create unique integrations from the ground up.

  • With, Celigo offers an Autopilot function that enables users to automate most workflows using pattern recognition AI.

  • Developers can use Celigo to create and distribute stacks, create tokens for direct API requests, and design integrations using complicated flow logic.


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19. Software AG

For a wide range of integration scenarios and use cases, Software AG provides data and app integration. Its webMethods platform allows businesses to connect apps, clouds, mainframe processes, and IoT devices. The product was created to scale up and down cloud-native integrations.

Key Features:

  • It boasts out-of-the-box integration with SaaS apps like Salesforce and ServiceNow, as well as over 300 application connectors that don't require code.

  • With IoT, you can accomplish more and obtain business results faster.

  • With a self-service IoT platform, you can create new services and experiences, improve processes, and expedite results.


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20. Workato

Workato provides a self-service program integration solution for integrating on-premises and cloud apps. Patterns, which are automated processes that connect apps to perform tasks built by users consisting of a combination of apps, events, and actions, are possible with the product.

Key Features:

  • Workato presently connects to over 200 enterprise apps, with more being added on a regular basis.

  • It is a hybrid integration platform including graphical and command-line tools, integration runtimes, and analytics, as well as many deployment options.

  • It has an easy-to-use interface with a low learning curve.



Things to consider while choosing cloud integration tools

It is essential to take precautions when selecting the best Data Integration solution from a plethora of excellent possibilities. Here are some things to consider:

Supported Data Sources

The intricacy of your Data Integration approach will increase as your company expands. Make a note that different teams are constantly adding streams, web-based programs, and data sources to your business. As a result, it's necessary to pick a solution that can expand with you and support your growing array of data sources.


Considering that you are working with mission-critical information, you must confirm that the solution provides the skills and resources necessary to ensure that you are secure and compliant.

Data that is available in real-time

If your use case is to transport data to a location for real-time analysis, this is applicable. This is the main use case for many businesses. This isn't supported by all Data Integration solutions. Many send data in groups to their destination, resulting in a delay of many hours to days.

Transformation of Data

The data retrieved from various applications comes in a wide variety of formats. Businesses would want to get information to the receiver in a common format that makes evaluation straightforward and quick in order to undertake meaningful analysis. Choose an integration tool that allows for seamless data transformations based on your usage.


The amount of data you'll require for your Data Integration system may be smaller at first. However, as your business grows, you'll begin to capture each and every client touchpoint, geometrically increasing the number of data that your data architecture must be able to handle. When selecting a Data Integration tool, be sure it can simply scale up and down to meet your data requirements.


We hope you can find approriate data integration tools with the help of this list. Take into account the things to consider discussed in this blog, and you can be assured to select the most efficient tool for yourself.


What is data integration?

Big data, the Internet of Things, SaaS, cloud computing, and other technologies are driving an increase in the number of data sources and also the sheer volume of data available. However, the majority of this data are collected and housed in separate silos or data storage. The process of bringing these disparate data sets together in order to provide more data value and understanding is known as data integration.

Because your capacity to enhance operations, improve customer satisfaction, and thrive in an increasingly digital environment needs insight into all of your data, data integration is particularly necessary as your company pursues digital transformation plans.

What are cloud data integration tools?

Simply put, data integration is the act of bringing data from several sources to a single point. It is from this single location that valuable information is acquired. It would consolidate the collected data in a way that the data is complete, accurate, and up to date. In other words, it should be capable of conducting corporate analysis and reporting.

What are the things to consider while choosing data integration tools?

When selecting a cloud-based integration tool, there are many important factors to consider. It's critical to consider a tool's connection set, the scalability, the speed with which the solution functions, and the security level it provides. Some of the main things to consider include:

  • Admin Tools: These tools assist with interface style, data transformation, connections, workflow management, and user community management.

  • Run time: Real-time integration, parallel computing, data stacking, data masking, and preemptive monitoring capabilities should be included.

  • Data transformations: Pick an integration tool that allows for seamless data transformations according to your usage.

What are the benefits of cloud data integration?

Data integration across cloud systems, as well as between cloud and on-premises systems, can provide numerous significant benefits:

  • Data synchronization: It is the process of ensuring that IT systems and applications working with the same data or organizations have an uniform view of the data and get regular or real-time updates.

  • Automation: Integration can assist in automating organizational activities that involve manual data copying or entering, as well as standardize how data should be treated as it moves from one app to another.

  • Remove redundant data: IT systems frequently store the same data several times for the sake of different applications or organizational processes.

  • Integrations: Integration reduces storage costs and synchronization efforts by eliminating duplications and utilizing a shared data repository.

What are the challenges included in cloud data integration?

Some of the challenges included in cloud data integration include:

  • Without robust techniques for transferring data in a timely manner, cloud data integration will fail.

  • For integrating data between cloud systems, let alone cloud and on-premise systems, there is no common approach or method.

  • Various data schemas and formats are common among cloud platforms, services, and resources. As new cloud services are deployed or applications are updated or modified, data interfaces or adaptors must be updated on a regular basis.

  • Cloud systems are frequently designed with scalability or efficiency in mind, rather for data integration.

Top 20 Cloud Data Integration...

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