Data Product Platform

Real-time
data products

Deliver data products that are continually synced with their sources, accessible in milliseconds.

Built for
enterprise scale

Fuel operational and analytical workloads, with a revolutionary approach to managing data.

Data fabric, mesh, or hybrid – your choice

Deploy in a federated, centralized,
or multi-domain architecture –
or any combination thereof.

Create, manage, and deliver
data products, at scale

Our Data Product Platform continually syncs, transforms, and serves data via data products – delivering a real-time, holistic view of any business entity – customer, order, device, claim, etc. – to any data consumer.

K2View enables enterprises to liberate and elevate their data, to become the most disruptive and agile companies in their markets. We do this by enabling data teams to productize enterprise data, making it instantly accessible across the organization.

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A revolutionary approach to data management:

A Micro-Database for
every data product instance

K2View data products integrate business entity datasets from underlying source systems into secure, high-performance Micro-Databases™. The platform manages one Micro-Database for each individual business entity.

The Micro-Databases are continually synced with fresh data, and are instantly accessible to authorized data consumers.

K2View Data Product Platform scales to manage billions of Micro-Databases concurrently, fueling the workloads of the world's largest companies.

It can be implemented in weeks, scales linearly, and adapts to change on the fly – with zero downtime.

It can be deployed in the cloud (as an integration platform as a service – “iPaaS”), on premises, or across hybrid environments.

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Learn from the best

Teresa Tung

Cloud First Chief Technologist, Accenture

Watch Accenture Cloud First Chief Technologist, Teresa Tung, holder of 220 patents, explain the concept of operational data products in a data mesh.

Architecture versatility

K2View future-proofs your data architecture.
Our Data Product Platform can be deployed in your architecture of choice:
federated data mesh, centralized data fabric, or multi-domain data hub.

Data Mesh

Federated data management design, empowering business domains to create, use, govern, and share data products - autonomously

Data Fabric

Modular, centralized data architecture, delivering an integrated layer of connected data for the enterprise

Data Hub

Data exchange between data producers and consumers, through a central hub that orchestrates and governs data flows and use

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Modular and comprehensive

The Data Product Platform is modular by design, and comprehensive in functionality.
It integrates with, and leverages, your existing data technology stack.

Data Integration

Ingest and unify data from multiple sources, then pipeline it to target systems, always ensuring data integrity.

Data Virtualization

Provide a logical abstraction layer to underlying systems, to make it easy to access trusted data.

Data Preparation

Make data lakes and data warehouses instantly and always ready for analytics.

Data Orchestration

Control data movement and data transformation, from source to target systems, code-free.

Data Catalog

Discover and visualize metadata structure and lineage, from source to consuming web services.

Data Governance

Control data synchronization, access, integrity, and security – using configurable rules and processes.

Data Masking

Protect data at rest, in use, and in transit – across production, testing, and analytics environments.

Microservice automation in a data fabric

Data Service Automation

Generate, debug, and deploy web services, in minutes, with an easy-to-use, no-code/low-code framework.

One platform, many use cases

Data Governance
and Compliance

Enterprise
Data Pipelining

Customer
360 View

Test Data
Management

Cloud
Migration

Operational
Intelligence

Data Governance
and Compliance

Streamline data quality and compliance across people, systems, and data by taking a business entity approach to automating data processing.

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Quick compliance with:

GDPR Europe, CCPA California, CPPA Canada, LGPD Brazil

Enterprise
Data Pipelining

Make your data lakes and data warehouses analytics-ready, with continuous, automatic pipelining of complete, clean, and fresh data from any source systems.

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Continuous pipelining to:

Snowflake, Google BigQuery, Amazon S3, Microsoft Azure

Customer
360 View

Deliver a real-time, trusted, and holistic customer view to consuming applications, data lakes and data warehouses.

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Cross-company services:

Customer care, Web and mobile self-service, Field services, Customer analytics

Test Data
Management

Accelerate software delivery and expand test data coverage, by provisioning trusted test data on demand, from any source systems to any target environments

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Built-in tools:

Admin portal, Self-service portal, Test data warehouse, Web service API

Cloud
Migration

Migrate legacy systems and datastores to modern cloud architectures, with an integrated set of cloud migration tools used by hundreds of data-driven enterprises.

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Cloud providers supported:

Microsoft Azure, Amazon Web Services, Google Cloud Platform, IBM Cloud

Operational
Intelligence

Embed real-time insights into your operations: detect financial fraud, intelligently route call center communications, perform hyper segmentation, and more.

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Cross-company services:

Web and mobile services

Whitepaper

K2View technical deep-dive

Download this whitepaper to learn about a radically different approach to enterprise data integration and management – using data products.

The K2View Data Product Platform is used by some of the most data-intensive enterprises in the world, including AT&T, Verizon, Global Payments, Farm Credit, IQVIA, Vodafone, DIRECTV, and more

Get the K2View technical whitepaper