Top 6 Data Integration Platform as a Service Vendor

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The demand to aggregate all the data in one location to extract value is growing as businesses generate and collect more data than ever from numerous data sources. Software for data integration can be useful in this situation. Enterprises can collect, organize, and comprehend all the data from many sources on a single platform thanks to the data integration platform. Enterprises that have data integration platforms at their disposal can analyze and interpret data to improve business decisions. Let’s follow us to find out about data integration platform in this post!

What is a data integration platform?

IT specialists can combine data from many sources using a data integration platform to provide a comprehensive, accurate, and current dataset for business intelligence (BI), data analysis, and other applications and business processes. Which DI platform is chosen will determine the cost and effectiveness of crucial data integration (DI) projects including data replication, ingestion, and transformation.

What is a data integration platform?
What is a data integration platform?

A data integration platform is more than just a database migration tool; it is a collection of technologies that allows you to build agile data pipelines. A complete data pipeline should include a data ingestion framework for connecting to various applications and systems, database replication software for copying and converting database objects and data into different formats, data transport architectures, model-driven configuration tools for designing, building, and managing a data lake or data warehouse, and an intelligent, enterprise-scale data catalog.

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The Top Data Integration Platform as a Service Vendor


With the help of the data integration and automation software Zapier, users may automate workflows, integrate web apps (and the data they contain), and complete more tasks. More than 1,000 web apps, including Google Docs, Slack, and Quickbooks, can be integrated by users, enabling seamless data sharing and information movement between them.


Boomi is a top supplier in the area of connectivity and automation. Atmosphere, the company’s flagship solution, facilitates the integration of cloud platforms, software-as-a-service programs, and on-premises systems. Application integrations are configured using a visual interface by AtomSphere.

Integrations can be installed wherever they have required thanks to the runtime tool provided by the solution, Boomi Atom. Various editions of the AtomSphere platform are offered, depending on the use case and capability.

The Top Data Integration Platform as a Service Vendor
The Top Data Integration Platform as a Service Vendor

Celigo is a solution that Celigo offers as an Integration Platform as a Service. Organizations may connect apps, synchronize data, and automate procedures thanks to the solution. A visual field mapping interface, drop-down menus, and an API helper are all part of Celigo’s integration process. In order to enable customers to build their own library of reusable, standalone flows, the tool also provides reusable pre-configured integration templates that are offered on the marketplace.


Organizations can use a range of connectors and APIs to connect to SaaS and business applications using the Cleo Integration Cloud. The tool may be deployed using a variety of techniques and automatically accepts, transforms, orchestrates, links, and integrates all B2B data types from any source to any target. For SaaS or information services firms, Cleo Integration Cloud can also be incorporated and used as a managed service to outsource challenging integrations to the vendor’s experts.

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Without utilizing any code and using a drag-and-drop user interface, integrates cloud applications and services. Users connect to the services they want to integrate and then choose the application they want to utilize to start the workflow, which is the basic working principle. Nearly all of the most well-known apps are available on the program, including Gmail, Trello, Dropbox, Asana, and others. Users can make up to 5 bots using the free plan (that run at 5-minute time intervals).


In both on-premises and cloud deployments, IBM provides a variety of unique data integration technologies for practically all organizational use cases. For both classic (replication and batch processing) and contemporary integration synchronization and data virtualization requirements, it offers technologies in its on-premise data integration package. IBM also provides a range of prebuilt interfaces and functions. The cloud integration product from the mega-vendor is regarded as one of the best on the market, and new features will be added in the coming months.

Key Features to Look for in a Data Integration Platform

Key Features to Look for in a Data Integration Platform
Key Features to Look for in a Data Integration Platform

More businesses are choosing to use database and cloud-agnostic data integration platforms rather than depending on inbuilt DBMS or cloud vendor tools and manual ETL code to execute data integration tasks. You may extract, filter, transform, distribute, aggregate, model, index, and synchronize data across many data repositories more quickly and effectively using a single unified data integration platform. Here are some essential qualities to look for in a data integration platform, in addition to supporting a number of data formats, data sources, and targets:

  • Change data collection with minimal impact. Log-based change data capture technology offers low-latency data replication and real-time data intake without compromising source system performance.
  • Simple to use. User-friendly Graphical user interfaces and task-oriented wizards reduce the total cost of ownership of a data integration platform by simplifying configuration, accelerating deployment, allowing for continual improvement, and lowering the total cost of ownership. Manual coding should not be necessary.
  • Scalability and adaptability. Scaling up as your data volumes rise, as well as supporting fast-evolving use cases and new technologies, are critical characteristics for big data integration initiatives. This includes monitoring and controlling associated processes across the company.
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