Table of Contents

    Table of Contents

    What Every Enterprise Should Know about Today’s iPaaS Solutions

    Gil Trotino

    Gil Trotino

    Product Marketing Director, K2view

    What should enterprises be looking for, among the various iPaaS solutions available today?

    Table of Contents


    Understanding iPaaS
    7 Ways that Innovative iPaaS Solutions Benefit the Enterprise
    How Data Products Optimize iPaaS Solutions

    Understanding iPaaS

    iPaaS stands for Integration Platform as a Service and refers to a platform that standardizes data integration applications to enable easier implementation. The platform connects and synchronizes data endpoints – whether they’re in the cloud, or on premises – allowing enterprises to better manage, update, and monitor data-based procedures.

    7 Ways that Innovative iPaaS Solutions Benefit the Enterprise

    The right iPaaS solutions should offer the following advantages:

    1. Speed
      From real-time access to data to accelerated time to market, everything moves faster when data integration is at its best. Instead of investing time and effort planning data integration projects and their requirements, teams can get to work right away and enjoy results instantly.

    2. Scale
      iPaaS can be operated in public clouds, thus enabling businesses to scale up and down with confidence, knowing that any volume of data can be handled.

    3. Support for all sources
      For iPaaS solutions to be flexible, they must support multiple data sources of all types. Enterprises should also enjoy the benefits of an organized data catalog that maps and categorizes data flows.

    4. Cost-effectiveness
      Cloud-based platforms save the need to build independent solutions within the organization, thus reducing costs significantly. And enterprises select the subscription type that works best for them (consumption-based pricing, for example) and adapts over time to meet their needs.

    5. Ease of use
      User-friendly integration platforms cut costs by allowing any member of the organization to use them, regardless of skill level. This feature lets business and analytics teams define, access, and use, the integrated data, and frees developers and data engineers to focus on tasks that demand their expertise.

    6. API management
      The platform offers embedded API management, which creates a more secure and scalable environment. And by adding continuous testing and automation capabilities, companies can develop faster and perform better.

    7. Security
      iPaaS solutions should take compliance and governance issues into account, to meet today’s privacy standards and regulations. Specific features may include real-time fraud and threat detection, authentication requirements, audit preparation, and more. By carefully following security guidelines, enterprises are better able to protect their data – and their customer base.

    How Data Products Optimize iPaaS Solutions

    To elevate iPaaS to the enterprise level, IT should take a data product approach. Here’s why:

    • Field-proven results
      A Data Product Platform organizes data according to business rationale. It manages individual business entities via Micro-Databases™ – where a single Micro-Database is created for each customer, for example, and there could be billions of them. Data Product Platform supports both online operational, and offline analytical, workloads – a must in any data management system.

    45bRecent tests at a Fortune 50 telco reported data ingestion rates in the 200 msec range.

    • Unparalleled performance
      Enterprise iPaaS solutions should have the ability to operate in real time, and at scale, moving data, back and forth, at hyper speed, between source and target systems. The results are more comprehensive business analytics, operational intelligence, and split-second decision-making, translating into more personalized, and profitable, customer experiences.

    • Support for multiple use cases
      Data Product Platform "as a service" is designed to adapt quickly to change, and to serve multiple use cases, such as Customer 360, Data Masking, and Data Migration.

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