What is iPaaS Cloud Data Integration?

Cloud data integration is an “integration Platform as a Service” (iPaaS) that  standardizes how applications and data are integrated in an organization, making it easier to automate business processes, and share data across applications.

It's a single platform that enables data teams to implement data, application, API and process integration projects, involving any combination of cloud-resident and on-premise endpoints. This is accomplished by developing, deploying, executing, managing, and monitoring integration processes/flows that connect multiple endpoints, in order to work together.

Typical cloud data integration (iPaaS) scenarios:

• Application-to-application (A2A) integration
• Business-to-business (B2B) integration
• Cloud service integration (CSI)
• Internet of Things (IoT) integration
• Mobile application integration (MAI)

Gartner considers this iPaaS solution to be enterprise (EiPaaS) if it designed to support projects requiring high availability/disaster recovery (HA/DR), security, service-level agreements (SLAs), and technical support from the service provider.

Enterprises are constantly churning out applications, many of which are chosen by business units seeking “best of breed” and deployed as silos – but still need to be integrated with other apps, and share data across the organization. And business-critical processes – such as quote-to-cash, order fulfillment, item management, procure-to-pay, and more – span a variety of applications across multiple departments. Not to mention the growing volume of data from all data types and formats, flowing between applications.

Traditionally, enterprises integrated their business processes via a combination of custom programming, middleware, and/or enterprise application integration (EAI) implementations, like service-oriented architecture (SOA). But while such solutions worked fine, they typically took a lot of time to create and were expensive to run. They also left enterprises reliant on specific data silos, meaning that data couldn’t be shared among different consumers.

As data services move to the cloud, so must data/app integration.

As enterprises transition to cloud services, the past approaches of custom programming, middleware, or other implementations required to integrate each service are impractical and untenable. Plus, the rapid expansion of network services and edge computing generates further demand for integration with a wide variety of products. Today’s enterprises must be able to quickly integrate data services in any environment: on-premises, in private and public clouds, and at the edge.

Cloud data integration (iPaaS) tools standardize how new applications are added and existing applications are integrated to an enterprise, making it easier to move all types of data across applications, while providing the necessary integration functionality as well.

Integration is standardized in the sense that Cloud Data Integration (iPaaS) solutions dynamically monitor, maintain, and update processes across applications, which are constantly being added, deleted, or changed. When done right, cloud data integration (iPaaS) enables both data consumers and technical engineers the ability to easily build, manage, and maintain integrations.

In comparison with traditional integration solutions (e.g., out-of-the-box, point-to-point etc.), cloud data integration (iPaaS) benefits stand out, with:

• Quicker, easier integrations
  With cloud data integration (iPaaS), there’s no need for lengthy planning processes, or large project teams.
• Faster time to value
  The service is available to both operations and development teams. All they need to do is subscribe and start integrating.
• Better results, with less work, and no specialized skills
  iPaaS achieve more improved, and enriched, integrations in shorter periods of time, and without the need for new integration functionality for each new addition.
• Enhanced scalability
  With the use of public cloud-based integration, business can grow to meet demands without having to worry about setting up yet another custom in-house integration.
• Expanded use
  Anyone in the organization can get the data they need, when they need it, when data and processes are updated across applications.
• Lower integration costs
  With cloud data integration (iPaaS), there’s no need for high-paid developers to generate code for custom integrations. Additionally, the SaaS model allows for monthly or yearly subscriptions, making it extremely cost-effective over time. And the service vendor is responsible for maintenance and storage of interconnected data.
• Optimized B2B integration
  Every enterprise has its own process for exchanging information with partners, but different applications, used at different companies, make it hard to communicate.
• Embedded API management
  With cloud data integration (iPaaS), there’s no need to publish customer APIs, or combine APIs from other services. The platform is a more scalable and secure solution for managing APIs.
  
  

Cloud data integration (iPaaS), integrates data and applications simply and quickly.

Cloud data integration (iPaaS) is a single integrated platform that delivers a consistent process for data integration between all relevant apps in an enterprise, whether on premise or in the cloud.

The platform is hosted and managed on the cloud, and provided as a service. Data teams only need to choose the applications and services they'd like to integrate, and orchestrate the data flows between them. Everything else is done by the cloud provider, including data governance, feature updates, hardware management, security, and software fixes when necessary.

Pricing models for the service is typically a monthly subscription fee or pay-as-you-go.

Cloud data integration (iPaaS) providers usually offer a wide range of integration scenarios, especially targeting highly regulated enterprises. The service allows for real-time data exchange between SaaS apps, as well as between SaaS apps and other cloud-based applications, SaaS, and on-premise applications.

A growing number of enterprises count on iPaaS to manage applications and data more easily, integrate legacy systems more quickly, and resolve integration issues more thoroughly.

The top use cases of cloud data integration (iPaaS) include:

• Customer 360, for a trusted, holistic perspective of customer data, in real time.
• Data masking, that protects data at rest, in use, and in transit
• Test data management, that provisions high-quality test data, in minutes, on demand.
• Data migration, that moves data and digital business operations into the cloud.
• Legacy application modernization, that systematically moves legacy application functionality and data from old to new environments.

Cloud data integration (iPaaS) enables highly-regulated industries – like telecommunications, financial services, and healthcare – integrate data and systems quickly, securely, and in complete compliance, by using data making tools as necessary.

Here are the core capabilities of a cloud data integration (iPaaS) platform:

• Data connectivity
  Data connectivity ingests data from any source, in any delivery mode, and then transforms it for delivery, to any target, in any format.
• Data and application integration
  Data integration creates and manages scalable data pipelines between source and target systems, for operational and analytical use cases.
• Data orchestration
  Data orchestration unifies, transforms, and enriches data, from any source systems into any target applications, quickly and easily.
• Data governance
  Data governance ensures data quality, enforces data privacy and security controls, and makes the data easily accessible at enterprise scale.
• Data catalogue and data lineage
  A data catalog is built into the company's data fabric to inventory and classify data assets, and visually map information supply chains to show data lineage.
  
  

Beyond the above, the platform must be able to handle lifecycle management and monitoring (management of the cloud integrations), error handling, and API management.

In short, the right cloud data integration (iPaaS) solution should be flexible and scalable enough to meet the extremely demanding requirements of modern data management.

Cloud data integration (iPaaS) supports a broad range of data sources and delivery modes.

Enterprise iPaaS requires whole a new approach, coined “EiPaaS” by Gartner. EiPaaS needs to simplify the creation of complex integrations, and to shift integration management from IT to the data consumers, by providing clear-cut guidelines.

EiPaaS must focus on data security and protection, as well as end-user privacy rights.

EiPaaS platforms need to address the following requirements:

• Security and protection
  The enterprise solution should provide fundamental security like fraud detection, and user authorization.
• Privacy compliance
  iPaaS should ensure compliance with industry standards, like those issued by the Payment Card Security Standards Council, and privacy regulations, like GDPR.
• Continuous delivery
  Data teams should be able to design, integrate, and deliver applications, across the enterprise, whether the apps are developed internally, or on the cloud.
• Continuous testing
  The enterprise platform should also provide for testing, deployment, and automation – to enable faster time to market across all environments.
• Support for leading cloud platforms
  The right iPaaS tool integrate easily with leading cloud platforms – like AWS, Microsoft Azure, and Google Cloud – as well as with locally hosted virtual architectures.

An Enterprise ServiceBus (ESB) is a layer of middleware that manages and shares, data and application components, across the organization. Although housed on premise, ESB systems can facilitate cloud integrations, and mimic hybrid cloud environments.

iPaaS takes over where ESB leaves off, especially in terms of enterprise-critical capabilities, as reviewed in the following table:

A latest approach to EiPaaS is based on a data products.

Data Product Platform is the only iPaaS platform deployed in a public cloud (as well as offering an on-premise, and hybrid deployment options).

An enterprise cloud data integration (iPaaS) platform is highly effective because it delivers:

• Patented entity-based technology
  When data is organized by business entity, and managed by Micro-Database™ (for example, one Micro-Database for every customer instance), performance is unparalleled.
• Multi-use data schemas
  An enterprise can build the data schema once, and use it for many different use cases, such as customer 360, data pipelining, test data management, and more.
• Modular, open, and scalable architecture
  Data integration, transformation, enrichment, preparation, and delivery are aggregated in a single, extensible platform.
• Split-second, end-to-end, response times
  Enterprise data fabric is built to support high-scale, high-volume operations in real time, with bi-directional data movement between sources and targets.
• Data management for operational and analytical workloads
  Integrated, trusted data is delivered in a split second into consuming applications, or pipelined into data lakes and data warehouses for analytical purposes.

There are multiple vendors offering enterprise-grade app/data integration tools solutions. The following table lists the pros and cons of the industry’s leading cloud data integration (iPaaS) vendors: