Micro-database per entity
Stores each customer, account, or order in its own database.
Build governed, real-time data products from many source systems using entity-based micro-databases.
K2View is a data product platform that organizes enterprise data by business entity, such as a customer or order, and stores each one in its own micro-database. It integrates, virtualizes, masks, and delivers data from legacy, cloud, and application sources in real time. Large enterprises in telecom and banking use K2View for Customer 360 views, test data management, data privacy, and feeding governed context to AI applications and agents.
John M.
Software Engineer
“Liked the dependable platform, how easily it exposes microservices, and responsive staff on real-time Customer 360 projects. Found self-paced tutorials scarce, with training at first only offered through a vendor trainer.”
Maayan F.
Head of Digital R&D Data dep.
“Liked the reliability, the ease of exposing microservices, and a supportive team when connecting legacy systems to CRM and customer portals. Noted no major drawbacks.”
Ani U.
Technical Lead
“Liked how the logical unit combines NoSQL and relational database strengths while improving performance. Found the product lacks an end-to-end performance dashboard for viewing production flow metrics.”
Anand R.
Sr Architect
“Liked the mix of object-based and relational storage, the RDBMS interface over Cassandra, and the logical unit and IID finder tools. Found a learning curve moving away from relational thinking and limited self-paced tutorials.”
Oded R.
Develpment team leader
“Liked how easily business policies can be implemented and integrated with other applications, plus an easy development environment and excellent support. Noted no major drawbacks.”
maya B.
IT Director
“Liked building a 360-degree customer view across systems with Salesforce integration, a simple fast rollout, and partner-like vendor support. Found learning the product and applying it took some effort.”
gabi H.
Director of the Core Systems Department
“Liked the roughly three-month implementation, good value, quick developer ramp-up, and simple connections to legacy systems. Found code configuration depends on developers working in parallel.”
Yossi O.
Dev TL
“Liked that the product is easy to use, with fast learning and quick development of services. Found process investigation and error handling could be improved.”
Enterprise data management
Broad integration, quality, and governance suite
Logical data virtualization
Mature data virtualization across many sources
Test data and masking
Strong test data provisioning and data masking
Synthetic test data
Developer-friendly synthetic and de-identified data