The world's most data-driven companies rely on K2View's
operational data fabric
Integrate any source to any target,
in any method, at any frequency.
Deliver trusted data to data consumers in milliseconds.
Access clean, complete, and consistent data, by data product.
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.
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.
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:
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.
Our data integration tools feature dozens of out-of-the-box database and system connectors, and 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 microservice automation enables quick creation and debugging of data services. Using a visual, 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.
Data engineers, enterprise architects, and data integration developers, use our data integration tools for a wide variety of use cases, such as:
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.
Provide real-time access to trusted data, across a broad range of landscapes, by leveraging active metadata through patented Micro-Database technology.
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.
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.
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.
The K2View platform can be deployed as a service in a public cloud architecture.
Using K2View iPaaS, enterprises can:
Application and data integration is seamless, without any delays.
Integrations are available quickly, to speed your digital transformation initiatives.
Built-in connectors, and no-code data orchestration tools, integrate with all your apps and data sources.
Integration flows can be used by both business and data teams, so you can expand the scope of your integrations.
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.
Read now, to learn how to:
Pipeline complete and connected data, with zero impact on business operations.
Build, test, and deploy enterprise data pipelines quickly.
Integrate any data, from any source, to any target, in any delivery method - by data product.
Get a live demo of the K2View platform to assess its fit for your use cases.
Experience the power and flexibility of K2View Data Product Platform with a 30-day trial.
With K2View, you'll be able to create and manage data products to fuel operational and analytical workloads, such as Customer 360, data pipelining, cloud migration, test data management, and more.
