Micro-Database inside.

Imagine all the data for each customer, stored in its own Micro-Database™. Instantly accessible, individually encrypted, and always in sync with its sources.

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Micro-Databases

One Micro-Database
for every business entity

K2View manages billions of Micro-Databases
to drive operational workloads at massive scale

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Built for real-
time operations

Manages a complete, clean, and compliant dataset for a given business entity, enabling instant access to authorized data consumers

Micro-DB situational awareness

Always fresh
and insightful

Continually updated from the entity's underlying source systems,
and augmented with real-time,
situational awareness

scalable

Most scalable,
lowest TCO

K2View Data Product Platform scales to manage billions of Micro-Databases concurrently, at a fraction of the cost of DBMS alternatives

Patented technology

The revolutionary approach to operational data management

K2View uniquely manages all the data you hold for a business entity (a specific customer, device, order, etc.) in its own high-performance, compressed, and encrypted Micro-Database – one for each instance of a business entity.
The Micro-Database is instantly accessible by any authorized data consumer, in any way: via SQL, API, CDC, messaging, or streaming.

Think “mini data lake”

A Micro-Database functions as a data lake of one, unifying and harmonizing all the data, from all relevant source systems, for a specific business entity. 

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A Micro-Database is:

  • Accessible in milliseconds, by authorized data consumers, via SQL, APIs, CDC, messaging, etc.

  • In sync with the underlying source systems that are relevant for the business entity

  • Secured with its own 256-bit encryption key

  • Compliant with data privacy and security regulations, with sensitive data masked or tokenized in flight

  • Augmented with insights from real-time analytics and decisioning engines

  • ACID-compliant with the ability to become the database of record for new applications

  • Logged, with every change to the data tracked in an audit trail

  • Cached, persisted, or virtualized, for optimal performance

  • Stored in a distributed data store, like Apache Cassandra and Microsoft Azure Blob Storage

  • Trusted as the single source of truth for the business entity

Unlock the Potential

How Micro-Databases offer unique advantages for operational data management

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Real-time performance

Instead of querying massive tables with complex joins, query one
Micro-Database in milliseconds

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Always fresh and relevant

Sync policies ensure the data is as fresh as you need, without impacting underlying systems

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Trusted by everyone

Each entity's data is 360-complete, clean, and compliant - trusted as the single source of truth  

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Common
(data) language

Gain a semantic layer over your enterprise data,  shared by data producers and consumers.

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Data is always secure

Each Micro-Database is individually secured with its own 256-bit encryption key, for unmatched data protection.

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Situational awareness

Bi-directional data updates between related business entities makes sophisticated data correlation easy.

Powered by data products

K2View data products create and manage billions of Micro-Databases that are smart and self-aware.

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The metadata of a data product defines how Micro-Databases are populated, synced,processed, and accessed.

The metadata includes:

  • Schema, containing all tables and fields required to capture data

  • Synchronization rules, for how/when data is synced with sources

  • Algorithms, that transform, process, enrich, and mask raw data

  • Data integration methods, including CDC, JDBC, Kafka, data services, and more

  • Data flows and lineage, with orchestration from target to source

  • Security, including authentication and credential validation

See it in action

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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.

Micro-Database vs RDMS vs Data Lake

 

Micro-Database RDMS Data Lake
Data is stored, cached, or virtualized as data product components. Data is scattered across multiple systems and databases (e.g., CRM, billing, etc.) Data is stored and distributed in a big data system (e.g., Hadoop, Snowflake, etc.)
Each data product instance is managed and secured in its own Micro-Database. Each system is independent, with its own technology, database, and data formats. There’s no business logic associated with the data storage platform.
Data processing, as well as access to a single data product instance, is a fundamental feature. It’s difficult to unify and process the data of a single business entity – and impossible to do so in real time. A single data query is compute-intensive, because it requires sifting through massive amounts of data.

Let Micro-Database technology transform your data, and your business, in record time.

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