Enterprise iPaaS Platform.

Enterprise-grade Integration Platform as a Service: Top-tier performance, scalability, and reliability, for tier-1 companies.

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The agile way to integrate cloud data

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Deliver trusted,
integrated data,
in no time

Access business entity data, with situational awareness, in milliseconds.

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Simplify and unify
data & application integration

Integrate data and applications seamlessly, within the same platform

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Fuel operational
and analytical
workloads

Drive Customer 360, data pipelining, cloud migration, and more.

Create and deliver real-time
data products on an iPaaS platform

Data products are revolutionizing data integration. And an Enterprise iPaaS Platform is revolutionizing data products, by bringing them to the cloud.

data product integrates all the data for a particular business entity (customer, device, employee, work order, etc.) from all source systems, whether on premise or on cloud. It uniquely organizes and manages the data for each business entity instance within its own, secure Micro-Database™, which it then makes accessible to all authorized data consumers.

Data Product Platform supports both operational and analytical workloads, and can be deployed in a data fabric or data mesh model.

From any source, to any target,
in any way

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Integrate any data source – on premises, or in the cloud – to any consuming application, using any data delivery method. Supported data integration and delivery methods include bulk ETL, Reverse ETL, data virtualization, data streaming, log-based data changes, message-based data integration, and APIs.

Enterprise iPaaS Platform ingests data for a specific business entity, from all underlying systems. It simultaneously employs data governance and data masking, to ensure that data integrity and privacy are constantly maintained.

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One platform
many use cases

Data Product Platform is a central data hub that delivers a real-time, trusted, and holistic view of any business entity to any authorized data consumer, application, data warehouse, data lake, or cloud integration services.

Data transformation made easy

Enterprise iPaaS Platform supports a broad set
of data transformations via drag-and-drop tooling:

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Basic transformations

Data type conversions, string manipulations, and numerical calculations

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Intermediate transformations

Lookup and replace with reference files, aggregations, summarizations, and matching

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Advanced transformations

Complex parsing, combining , mining, correlating, enriching, validating, and cleansing

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Easy integration

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Data Product Platform has dozens of out-of-the-box database and system connectors. It also features an auto-discovery engine to establish two-way connections between existing application data sources and consuming applications – without lengthy development and staging databases.

A low-code/no-code framework for automated data services enables quick creation and visual debugging of data services. Using a visualized drag-and-drop builder, data engineers can quickly customize and orchestrate data services to minimize implementation to a fraction of the time required by traditional data integration tools.

An embedded data catalog automatically discovers and visualizes the metadata structure, and the relationships between the business entities – for all of the data products managed in the platform.

Data governance and data masking tools ensure data quality, enforces data privacy and security controls, and makes the data easily accessible at enterprise scale.

iPaaS cloud data integration

Real-time linear scalability

iPaaS cloud data integration

Data Product Platform – which incorporates the iPaaS platform – delivers a trusted, real-time view of any data product, deploys in weeks, scales linearly, and adapts to change on the fly.

It supports data mesh, data fabric, and data hub architectures – on premises, in the cloud, or across hybrid environments.

iPaaS key capabilities

  • Automated data discovery for two-way connections
  • Built-in connectors to structured and unstructured data sources
  • Support for all data integration methods (messaging, queuing, CDC, etc.)
  • Highly sophisticated data transformation
  • Deduping, masking, and encryption of data for privacy/security
  • Real-time data access and orchestration
  • Data governance, lineage, and usage capabilities
  • Support for data mesh, data fabric, and data hub architectures

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See how Vodafone implemented K2View Data Fabric for multiple use cases, including Customer Data Hub and Test Data Management, to deliver strategic business
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What-is-iPaaS

Learn more about iPaaS

This comprehensive guide covers iPaaS challenges, capabilities, benefits, requirements, use cases, and provides a comparison of the top iPaaS vendors. It also summarizes the unique benefits of a data product approach.

Download the market guide

iPaaS cloud data integration tools

Integrate any data source – on premises, or in the cloud – to any consuming application, using any data delivery method.

Book a Demo