High-speed, scalable, and
reliable data integration tools.

Integrate data from any data source, and make it accessible to any data consumer, in any method: data streaming, data virtualization, messaging, CDC, SQL, API, ETL, etc.

Enterprise data integration tools

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your way

Integrate any source to any target,
in any method, at any frequency.

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every time

Deliver trusted data to data consumers in milliseconds.

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with integrity

Access clean, complete, and consistent data, by data product.

Supporting all data integration and delivery methods

From any source, to any target

Data Integration Diagram

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

K2View's data integration platform can be deployed to support a data fabric or data mesh architecture, without altering the data integration implementation.

K2View enterprise data integration ingests data for a specific business entity from all underlying systems, while governing the data, and ensuring that data integrity is maintained in each Micro-Database. The data is instantly pushed to or pulled by data consumers. 

Data services are generated and orchestrated to deliver data from the Micro-Databases to external applications, with end-to-end performance from data ingestion to delivery - measured in milliseconds.


Data integration at scale

Enterprise data integration tool with auto-Discovery

K2View takes a data product approach to data integration – integrating, processing and delivering data by business entities. Our data integration tools enable data engineers to create and manage scalable data pipelines, for both operational and analytical workloads 

Enterprise data integration starts with auto-discovery and modeling of the data product schema that defines all the tables and fields for a specific business entity (e.g., customer, location, device, etc.), from all your existing systems – regardless of the underlying technologies or formats. 

A data product ingests the data for each instance of a business entity into its own high-performance, patented Micro-Database.

It then applies data masking, transformation, enrichment, orchestration, and tokenization – in flight – to make the individual entity's data available to any authorized data consumer, in any delivery style, while complying with data privacy and security regulations.

Enterprise data integration made easy

No-code data integration and transformation

No-code data integration and transformation

As part of our data integration platform, we provide a no-code data transformation tool for defining, testing, and debugging data transformations – logic and flows – to address simple and complex needs, with ease: 

  • Basic data transformations 
    Data type conversions, string manipulations, and numerical calculations. 
  • Intermediate data transformations 
    Lookup/replace using reference files, aggregations, summarizations, and matching.
  • Advanced transformation transformations 
    Complex parsing, unstructured data processing, combining data and content sources, text mining, correlations, custom enrichment functions, data validation, and cleansing

Unlike traditional ETL and ELT approaches, K2View's enterprise data integration uses an in-memory database to perform data transformation at high speed. Data transformation is applied at the individual business entity level, making performance lightning fast, in support of high-scale data preparation and delivery.

Primary data integration use cases

Data engineers, enterprise architects, and data integration developers
use our data integration tools for a wide variety of use cases, such as:

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Cloud Migration

Migrate and modernize data and analytics workloads to the cloud, reliably and securely, with a data product architecture that spans multiple on-premise and cloud environments.

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Data Fabric

Provide real-time access to trusted data, across a broad range of landscapes, by leveraging active metadata through patented Micro-Database technology.

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Data Engineering

Create, manage, and operationalize data pipelines to support analytics demands (e.g., logical data warehouse, data science) by adhering to predefined architectural methodologies, patterns, and tools.

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Operational Data Integration

Support operational use cases – like customer data hub, and multi-domain MDM – by consolidating, integrating, and synchronizing data related to data governance, and key business processes.

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Linear scalability
in real time

The K2View Data Product Platform scales linearly to manage hundreds of millions of secured Micro-Databases concurrently, in support for high-scale operational and analytical data integration workloads.

It can be deployed, on premises or in the cloud as an iPaaS, in data mesh, data fabric, and/or data hub architectures.

K2View Data Integration was designed with real-time speed in mind, where every millisecond counts. In-memory computing, combined with the company's patented Micro-Database technology, and distributed architecture, deliver unmatched source-to-target performance. 

Cloud data integration (iPaaS)

The K2View platform can be deployed as a service in a public cloud architecture.
Using K2View iPaaS, enterprises can:


Simplify integration

Application and data integration is seamless, without any delays.


your initiatives

Integrations are available quickly, to speed your digital transformation initiatives.


Focus on high-value activity

Built-in connectors, and no-code data orchestration tools, integrate with all your apps and data sources.


Expand your capacity

Integration flows can be used by both business and data teams, so you can expand the scope of your integrations.


Adapt to change rapidly

Integration flows are quickly adapted to match your business requirements and digital transformation efforts.



The platform supports data mesh, data fabric, and data hub architectures.

Data integration

Tools and features

  • Connectors/adapters to structured and unstructured sources

  • Dedupe/mask/encrypt functionality for privacy and security

  • Data virtualization, as an easy-to-access logical abstraction layer

  • Multiple data delivery styles, including CDC, ETL and message-based data movement

  • High-speed exposure and orchestration of data services

  • Data transformation of unprecedented sophistication

  • Support for cloud data integration

  • Metadata and data modeling support

  • Design and development tools

  • Data governance support

  • Deployment environment flexibility

  • Operations and admin capabilities

  • Support for multiple architectures and integration

  • Simple usability, due to no-code studios and dashboards

Our Customers Love
the K2View product platform

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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Take K2View data integration tools for a test drive