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How to Choose the Right Cloud Data Integration Tools

Authors Photo Precisely Editor | August 13, 2020

At the enterprise level, organizations are practically swimming in data. That’s excellent news because value lies in that data, assuming you can analyze it efficiently with your cloud data integration tools.

Cloud data integration tools can give the enterprise a single source of truth, enabling a deeper understanding of data that, in turn, can lead to better decision making for the organization as a whole.

With many cloud data integration solutions from which to choose, how can you find the best ones for your unique needs?

Considerations for cloud data integration tools

Source systems How many source systems do you have? What kind of information do you have – structured, unstructured, semi-structured, or a combination of those three? How often is data updated, and how much is updated at a time? Are there overlapping systems?
Integration use cases How are you planning to integrate data from cloud sources with other data sources in your environment? Will those tools support your use cases?
Resources and skillset Do your employees have the right resources and skillsets to use and maintain cloud data integration tools?

Why would you choose cloud data integration?

The goal of data integration solutions is to help future-proof integration efforts even when you have a changing technology stack. Such solutions should make your data both accessible from one central source of truth.

Though there are many data integration solutions, tools used for cloud data integration should offer your organization a number of benefits:

  • Lower operational costs
  • Increased scalability to integrate more data, faster
  • Faster time-to-market
  • More complete and accurate data views


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Which cloud integration tools are right for you?

When choosing cloud integration tools, there are three things you should consider:

  • Source systems
  • Integration use cases
  • Resources and skillsets

Source systems

“Source systems” refer to the number of systems you have that contain data that you want to integrate. You need to understand how many source systems you have before considering which cloud integration tools to use. Moreover, what kind of information do they contain – structured, semi-structured, unstructured, a mix of the three?

Additionally, how often are these source systems updated, and how much information is updated at once? Are there external sources you need to integrate? Do you have overlapping source systems (such as two CRMs)? The right cloud integration tools accommodate a high number of source systems, a wide variety of data, and internal and external databases.

Integration use cases

Why do you need cloud data integration in the first place? Do you need it for analytics? Are there cloud applications from which you need information, or are there IoT devices with data streams you want to integrate?

The right cloud integration tools accommodate your use cases, without the need for the heavy lifting involved in customization.

Resources and skillset

Another thing to ask yourself about cloud integration tools is whether your employees have the requisite skills and knowledge to use the tools. The right cloud integration solutions are easy to use and do not require deep technical knowledge.

Precisely: The right cloud data integration tools for you

Precisely’s data integration tools accommodate a wide variety of source systems, fit many integration use cases, and are easy to use.

Read our ebook, A Data Integrator’s Guide to Successful Big Data Projects” to learn more.