K2View Data Integration creates and manages scalable data pipelines between source and target systems for operational and analytical use cases.
Enterprise data integration starts with auto-discovery and modeling of the Digital Entity™, the schema that defines all the fields for a specific business entity (e.g., customer, location, device, product), from all your existing systems – regardless of the underlying technology or format.
Data is ingested by the digital entity into a high-performance, patented micro-Database – one micro-DB for each business entity instance. Data masking, transformation, and enrichment functions are the applied. Finally, data is orchestrated into microservices that deliver the data to consuming applications.
Integrate any data source - on premise or on 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, message-based data integration, and APIs.
K2View enterprise data integration ingests data for a specific digital entity from all underlying systems, while governing the data, and ensuring that data integrity is maintained in each micro-DB. Microservices are generated to deliver the data from the micro-DB to external applications, with end-to-end performance, from data ingestion to delivery, measured in milliseconds.
K2View supports a broad set of data transformations via drag-and-drop tooling:
Unlike traditional Extract-Transform-Load (ETL) approaches, K2View's enterprise data integration uses an in-memory database to perform data transformation at high speed. Moreover, transformation is applied at the individual entity level, making performance lightning fast.
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 visual 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.
K2View’s micro-DB approach for data management allows for linear scalability, while using commodity hardware. The K2View platform can scale to manage hundreds of millions of secured micro-DBs concurrently, and be deployed in distributed on-premise, on-cloud, or hybrid architectures.
K2View Data Integration was architected with real-time speed in mind, to support operational use cases, where every millisecond counts. In-memory computing, combined with the company's patented micro-DB technology, and distributed architecture, deliver unmatched source-to-target performance.
1. Integrate data, with zero impact to business operations
2. Build, test, and deploy enterprise data pipelines quickly
3. Integrate any data, from any source, to any target, in any delivery method
