Because there are so many options on the market today, picking the correct Data Integration tool can be difficult. If you don't know what you're looking for, you can make the wrong decision. So, before deciding on a service, it would be quite beneficial if you had all of the necessary details and information regarding Data Integration tools. And of course, the data analysis tools too.

In this top tools list, we have compiled the top 20 data integration tools along with their pricing and features for you to choose from.

1. MuleSoft Anypoint Platform

MuleSoft Anypoint Platform is an iPaaS Data Integration platform that allows businesses to connect two cloud-based apps, as well as a cloud or on-premise system, for smooth data synchronization. Both locally and in the cloud store the data stream from data sources. It accesses and transforms data using the MuleSoft expression language.

MuleSoft is best suited for businesses that need to connect to a variety of data sources in both public and private clouds, as well as retrieve older system data.

Key Features:

• Automate data transformations with machine learning-based suggestions, test your APIs and integrations, and plug your corporate integrations into CI/CD pipelines with Maven and Jenkins support.

• With our hybrid integration platform, you may deploy on-premises, in the cloud, or both.

• With comprehensive lifecycle API management and business integration governance, you can keep track of the health of your application network. Use API gateways to manage access and unlock data using prebuilt or custom policies.

• Protect sensitive data with regulations that preserve format, and create secure perimeters around data, APIs, microservices, and integrations.

Cost:

You can request a quote on their website.

2. AWS Appsync

AWS Appsync allows you to establish security, caching, and fine-grained access control at the data definition level right from your GraphQL schema, making it simple to safeguard your app data using several concurrent authentication options. AWS AppSync can transmit real-time data updates through Websockets to millions of customers with controlled GraphQL subscriptions.

AppSync also enables local data access for mobile and web applications when they go offline, as well as data synchronisation with customisable conflict resolution when they come back online. With built-in high-availability serverless architecture, AWS AppSync provides completely managed GraphQL API creation, management, and maintenance.

Key Features:

• Broadcast data from the backend to all connected clients (one-to-many) or amongst clients (many-to-many), such as in a second screen scenario where the same data is broadcast to all clients, who can then respond.

• Create conversational mobile or web apps that enable several private chat rooms, provide access to discussion history, and queue outbound messages even when the device is turned off.

• Build real-time dashboards in a mobile or online application that visualises telemetry from a connected IoT device, such as a car, using IoT device data delivered to AWS IoT.

• With built-in support for data versioning and dispute resolution, automatically synchronise data across mobile/web applications and the cloud.

Cost:

Packages start at $20.

3. Zapier

Zapier connects web applications so they may share data and transmits data between them using Zaps, or workflows. More than 1,000 apps are connected via the program, and new features are added on a regular basis. Workflows can be created on a self-service basis, and Zaps can be created without the assistance of a developer. Zapier comes in two types: a free, everlasting version and a premium version that includes automation and conditional workflow development.

Key Features:

• With over 3000 integrations, Zapier supports the apps you use so you can completely automate your business.

• Thousands of clients already trust Zapier with their mission-critical workflows.

• With Zapier's home-brewed apps, you can send emails, filter tasks, convert data, and more.

• Use a single trigger to automate many tasks.

• Create clever workflows that react to conditions you specify.

Cost:

Packages start at $20 per month.

4. Celigo

Celigo is an iPaaS Data Integration platform that allows you to click and go. It automates the majority of your data extraction and transformation 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 minutes.

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 inegrator.io, Celigo offers an Autopilot function that allows users to automate most workflows using pattern recognition AI.

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

Cost:

You can request a quote on their website.

5. Tray.io

Tray.io is a powerful automation platform that can be scaled with advanced capabilities for enterprise business and technical users. It uses a customizable automation workflow builder to incorporate the entire tech stack. Scale from simple point-to-point integration to complicated workflows that may execute billions of jobs in milliseconds and apply conditional logic. With serverless architecture and APIs, the possibilities are endless.

Key Features:

• Integrate your cloud stack to work in real-time and empower your staff with automated procedures. Automate your business without putting a strain on your development team. Transform your crew into citizen robots.

• Improve your marketing efficiency and push your business to new heights.

• Directly provide buying signals and sales updates to sales reps.

• With after-care programs and assistance, you can keep clients coming back.

Cost:

You can request a quote on their website.

6. WSO2

WSO2 is an open-source hybrid integration platform including graphical and command-line tools, integration runtimes, and monitoring, as well as many deployment options. The integration runtime engine of WSO2 can be used as an ESB, a streaming data processor, or a microservices integrator. Organizations can deploy on-premises, in the cloud, or using their preferred hybrid or container orchestration platform.

Key Features:

• Simplicity should be minimised. Create agile and scalable cloud-native digital goods and solutions.

• Utilize your APIs to their best potential in order to improve business performance.

• Accelerate application development using the industry's quickest integration runtime.

• Create CIAM solutions that are API-driven and delight clients.

• Accelerate regulatory compliance, lower the risk of a negative consequence, and make API-driven digital efforts easier.

• API-driven compliance, healthcare interoperability, and digital business innovation may all be accomplished quickly.

Cost:

You can request a quote on their website.

7. Oracle Data Integrator

Oracle Data Integrator is a best-of-breed data integration tool for handling complicated data transformations and large data transportation. With its open and integrated E-LT architecture and increased support for Big Data, it enables high-performance data transportation and transformation across corporate platforms.

Oracle Data Integrator is essential for exploiting data integration projects such as Big Data management, Service Oriented Architecture, and Business Intelligence, whether on-premise or in the cloud. Oracle Data Integrator improves productivity, reduces development costs, and lowers total cost of ownership by combining an easy-to-use user interface with a robust extensible framework.

Key Features:

• Oracle Autonomous Data Warehouse Cloud and Oracle Autonomous are integrated with Oracle Object Storage and Oracle Object Storage Classic Optimized Knowledge Modules (KMs).

• Oracle Enterprise Resource Planning (ERP) Cloud Transaction Processing Support.

Cost:

You can request a demo on their website.

8. Skyvia

Skyvia is a software-as-a-service data platform that provides a no-code environment for a variety of data operations. It has data integration, management, and backup capabilities, as well as process automation and data visualisation tools. It is a cloud-based platform that provides modern cloud agility and scalability without the need for deployment or manual upgrades. It's a wizard-based, no-coding solution that caters to the demands of both IT professionals and non-technical business customers.

Key Features:

• To automate workflows, connect your cloud, on-premise, and flat data.

• Data gathering from a variety of cloud sources to a database or data warehouse can be automated.

• In just a few clicks, you can move your business data between cloud apps.

• Keep all of your cloud data safe and secure in one place.

• To connect with numerous OData consumers, share data in real time using REST API.

• Query and manage any data from the browser using SQL or the Query Builder's straightforward visual interface.

Cost:

Packages start at $15 per month.

9. Workato

Workato provides a self-service application integration solution for integrating on-premises and cloud apps. Recipes, which are automated processes that connect apps to complete tasks built by users based on a combination of apps, triggers, and actions, are possible with the product. Workato presently connects to over 300 enterprise apps, with more being added on a regular basis.

Key Features:

• Enterprise Leader in the field of iPaaS.

• AI, bots, and more are available.

• Data loss protection that is intelligent.

• Elastic Scaling is a term that refers to the ability to scale up

• Redundancy is built-in.

• There's no need for Dev Ops.

• There is no need to code.

• Error handling that is automated.

• Deployment is immediate.

Cost:

You can request a quote on their website.

10. IRI Voracity

IRI Voracity is an iPaaS Data Integration solution that supports federation, masking, data quality, 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, transformations, 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 Business Intelligence applications, allowing them to evaluate their data in one spot.

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

Cost:

You can request a quote on their website.

11. IBM App Connect

IBM App Connect is a powerful tool for integrating a wide range of applications, and it supports both real-time and batch processing. You can use REST APIs to expose data and take advantage of the platform's hundreds of pre-built connectors. Across all environments, it rapidly connects applications and data from current systems and modern technologies.

App Connect allows enterprises to publish integration artefacts using enterprise service bus (ESB) and agile integration architecture (AIA) microservices, allowing them to use a variety of flexible integration patterns.

Key Features:

• User-centered, AI-driven, and dependable.

• Tooling that is configuration-based facilitates integration.

• For diverse integrations, mix & combine features.

• Use it as a managed service or deploy it wherever.

Cost:

Packages start at $40 per month.

12. Tibco

Tibco Cloud Integration, the company's flagship Integration Platform as a Service, does not require any coding. It also guides users through the process of creating, modelling, and deploying APIs. Scribe Software was acquired by TIBCO in June 2018 and its features have been included into TIBCO Cloud Integration as a complimentary package.

TIBCO provides a fully integrated data platform capable of handling a wide range of data integration scenarios. The addition of Cisco's data virtualization technology to the company's product range completes the picture.

Key Features:

• Using a well-designed hybrid cloud integration architecture, multiple stakeholders may respond swiftly to changing requirements.

• To enhance or disrupt business models, innovation adopting a fail-fast method for establishing edge services is becoming increasingly important. You get both governance and flexibility with hybrid integration.

• Integration components are tightly coupled, reducing complexity and effort for the entire team, which includes integration professionals, ad hoc integrators, and citizen developers.

• APIs and microservices may be used to build and deploy apps faster using a set of tools designed for certain use cases.

Cost:

You can request a quote on their website.

13. Xplenty

Xplenty is an ETL (Extract, Transform, Load) solution that automates data flows in your business using low-code and no-code methods. Workers can easily access the data they need to execute their tasks effectively using the visual data pipeline building tool. Data is cleaned, normalized, and transformed as it moves from your sources to the destinations throughout the transformation process, which takes place on-platform.

Xplenty is a cloud-based data management application that works with public and private clouds, on-premise data, and data from the internet. Without having to worry about system configuration, maintenance, or updates, you can immediately deploy this solution and get started with data pipeline building.

Key Features:

• All users have access to unlimited phone and video assistance.

• You've packed all of your data sources and SaaS applications.

• The pricing model that your Finance department fantasizes about. There are no rising expenses as your data capacity grows.

• Using Xplenty's encryption transformation, you may secure your sensitive data fields on the fly. Field-level encryption is a favorite of security teams.

• In just a few minutes, you can have your data pipelines up and operate.

• All future updates are automatically managed by Xplenty.

• With no delay, handle millions of records per minute.

• There are over 220 prebuilt transformations to meet all of your needs.

Cost:

You can request a quote on their website.

14. Hevo Data

Hevo Data is a No-code Data Pipeline that enables you to transport data from 100+ sources to your selected Data Warehouse/destination and display it in a business intelligence tool. Hevo is fully controlled and automates the process of not only loading data from your selected source but also enriching and transforming it into an analysis-ready format, all without writing a single line of code. Its fault-tolerant architecture guarantees that data is handled securely and consistently, with no data loss.

Key Features:

• In just a few minutes, you can have your data pipelines up and operate. Replicating data at scale has never been easier.

• ETL scripts and Cron jobs should be left behind. Setup once, and Hevo will handle all of your future adjustments for you.

• Automate your data flow without having to write any special code. Hevo also highlights and corrects any faults it finds.

• Hevo automatically manages all future schema changes in your incoming data, whether it's new column additions, data type changes, or additional tables.

• Hevo is designed to handle millions of records per minute with no latency, guaranteeing that your data pipelines can scale as your organization grows.

Cost:

Packages start at $149 per month.

15. Cleo

Cleo Integration Cloud enables businesses to connect to enterprise and SaaS services with a choice of connectors and APIs. This data integration tools takes, translates, orchestrates, links, and integrates all B2B data types from any source and to any target automatically, and it may be deployed in a variety of ways. Cleo Integration Cloud can also be used as a managed service to outsource challenging integrations to the vendor's specialists for SaaS or Information Services enterprises.

Key Features:

• End-to-end integration visibility reveals problems, resolves issues, exceeds SLAs, and improves partner scorecards swiftly.

• Easily automate EDI, API, and file-based integrations on a single software platform.

• Self-service integration, fully outsourced managed integration services, or a hybrid strategy are all viable options.

• To capture money faster, use templates, pre-defined partner profiles, connections, and a powerful any-to-any transformation engine.

Cost:

You can request a quote on their website.

16. Jitterbit

Jitterbit is an API integration platform that makes it easier to link cloud, on-premise, and SaaS apps. It also gives you the option of incorporating Artificial Intelligence into your applications and combining them in novel ways to generate new solutions. Real-time language translation, a recommendation engine, and speech recognition are all AI choices.

Key Features:

• Connect SaaS, cloud, and on-premises apps with ease. Incorporate intelligence into any business operation in real-time.

• Create new APIs from any existing enterprise application or data in a matter of minutes. To launch unique new solutions, combine them with external APIs.

• Jitterbit can be deployed on-premises, in the cloud, or in a hybrid cloud, and it can handle both real-time and batch processing.

Cost:

You can request a quote on their website.

17. Dell Boomi

Dell Boomi is the company's cloud-based integration solution. It enables organizations to easily integrate applications, partners, and customers through the web, thanks to a visual designer and a range of pre-configured components. Boomi is capable of a wide range of fascinating jobs for businesses of all sizes.

It includes everything you'll need to create and maintain integrations between two or more endpoints. Dell Boomi is an excellent option for managing and moving data in hybrid IT architectures.

Key Features:

• Boomi allows you to connect faster, allowing you to build the ideal experiences and move at breakneck speed.

• Boomi links everything in your digital ecosystem, including on-premises systems, so you can reduce disruption, risk, and simply get more done.

• Boomi takes care of integration issues so you can focus on developing new business models and delivering digital solutions.

• With unique capabilities like intelligent integration mapping and configuration, error testing, and resolution, Boomi's drag and drop visual UI and low-code platform boost efficiency and lowers errors.

Cost:

You can request a quote on their website.

18. Talend Cloud Integration

Talend Cloud Integration platform connects cloud-based and on-premise data through self-service, adaptable tools, empowering both technical and non-technical users in your organization. The user-friendly graphical interface and tools, as well as a powerful component library and prebuilt templates, make it easy for everyone to get access to the data their business units require.

Data transformation is supported, and your data is checked for quality throughout the process, ensuring that you don't waste time and money on faulty data. You can launch data pipelines in Spark and other apps as needed once you've set them up.

Key Features:

• Integrate almost any data type, on-premises or in the cloud, from any data source to any data destination.

• With no vendor or platform lock-in, create data pipelines once and run them anywhere, including Spark and the latest cloud technologies.

• Data integration, data quality, and data sharing are all combined in a single, unified system that is simple to set up and operate.

Cost:

You can request a quote on their website.

19. Dataddo

Dataddo is a data integration tool that involves no coding. It is a cloud-based ETL service that helps technical and non-technical users integrate their data with over 100 connectors. This tool is fully customizable and very easy to use.

Key Features:

• Customizable features and metrics.

• You can add new connectors within ten days of the request.

• It is very friendly for those who are not from a technical background.

• The tool has flexible plugs, and you can easily plug into existing data.

• The central management system tracks the status of the data pipelines.

Cost:

The cost is $99 per month.

20. ZigiWave

ZigiWave is a data integration tool that does not require coding. It transfers all the data smoothly and in real-time. You can integrate your data within minutes, even if you do not have a technical background. There are multiple templates that the tool offers to make work easy.

Key Features:

• The tool is customizable and flexible. You can add new filters and other features.

• The tool can handle many queries in a day without glitching.

• The tool behaves as a mediator between systems. This makes it not store any data. It is very secure.

• It can solve complex uses.

Cost:

You can contact them for the cost.

Things to Consider When Choosing a Data Integration Tool

Supported Data Sources

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

Scalability

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 customer touchpoint, exponentially increasing the volume of data that your data infrastructure 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.

Data Availability in Real-Time

Only if your use case is to transport data to a destination for real-time analysis, is this applicable. This is the primary use case for many businesses. This isn't supported by all Data Integration tools. Many send data in batches to their destination, resulting in a delay of many hours to days.

Conclusion

We hope that this article gave you a basic understanding of data integration and data integration technologies. You are now in a position to select the most appropriate Data Integration tools for your needs.

FAQs

What is Data Integration?

The process of merging data from several sources into a single, cohesive perspective is known as data integration. Ingestion is the first step in the integration process, which involves cleansing, ETL mapping, and transformation.

In the end, data integration allows analytics tools to provide useful, actionable business intelligence.

When it comes to data integration, there is no one-size-fits-all solution. Data integration solutions, on the other hand, usually consist of a network of data sources, a master server, and clients who access data from the master server.

What Are Data Integration Tools?

A data integration tool is a piece of software that allows you to do data integration on a data source.

These tools should be tailored to your specific data integration needs. Data transformation, mapping, and cleansing are all performed by these tools. Data governance and data quality solutions can be connected with data integration tools.

These business data connection tools will provide an easy UI to swiftly transfer your old data in Bulk Mode and start using a new application with extra features in an all-in-one application.

When Should You Consider Using Data Integration Tools?

Even if a corporation receives all of the data it requires, that data is frequently spread among multiple data sources. For a typical customer 360 view use case, data from CRM systems, online traffic, marketing operations software, customer-facing applications, sales and customer success systems, and even partner data, to mention a few sources, may need to be merged. Information from all of those many sources is frequently needed for analytical purposes or operational activities, and bringing it all together can be a difficult undertaking for data engineers or developers.

The necessity of data integration is highlighted by the need to conduct all of these actions as effectively as feasible. It also demonstrates the primary advantages of a well-thought-out data integration strategy.

What Are the Benefits of Data Integration Tools?

• Saves time and increases productivity.

• Errors are reduced (and rework).

• More useful data is delivered.

What Are the Challenges Faced During Data Integration?

• What is the best way to go to the finish line — Companies usually have a clear idea of what they want from data integration: a solution to a specific problem. What they don't consider is the route they'll take to get there. Anyone implementing data integration must know what categories of data must be collected and processed, where that data originates from, the systems that will use the data, the types of analyses that will be performed, and how frequently data and reports must be updated.

• Data derived from emerging business requirements — Different types of data (such as unstructured or real-time) are being generated by new systems today from a variety of sources, including movies, IoT devices, sensors, and the cloud. It's important for your organization to win if you can quickly change your data integration infrastructure to match the needs of integrating all of this data, but it's exceedingly challenging because the volume, pace, and new format of data all provide new issues.

What Are the Various Types or Mediums of Data Integration Tools?

There are different types, and choosing one depends on where your information is saved and where you want to transfer it.

The types:

1. One premise tools.

2. Open source tools.

3. Cloud-based tools.

What Are the Key Types of Data Integration?

There are different key types because each organization has different needs. The key types are:

• Data consolidation

• Data virtualization

• Data replication.