The world's most data-driven companies rely on K2View's
operational data fabric
Unlike traditional ETL and ELT tools that rely on complex and compute-heavy transformations to deliver disjointed data, K2View Data Pipelining tools move data via data products, ensuring data integrity, high-speed pipelines, and agility.
A data product corresponds to a business entity – such as a customer, product, order, or location. The data for each instance of a business entity (like a single customer) is persisted and managed in a patented Micro-Database™ – one per customer.
The K2View Data Product Platform provides you with tools to auto-discover, and quickly modify, data products. Data engineers use our no-code platform to integrate, cleanse, enrich, mask, transform, and deliver data – enabling lightning-fast querying in data lakes, without complex, and compute-intensive joins between tables.
And there's more. Since data is continually collected and processed by Micro-Database, it can also be delivered to your operational systems in real time, to support Customer 360, Cloud Migration, Data Tokenization, and more.
K2View Data Pipelining gives data engineers a complete toolset for delivering fresh, complete, and trusted data for analytics.
K2View Data Preparation Hub enables data teams to deliver up-to-date, high-quality, complete, and trusted data for analytics.
Patented approach to ETL/ELT that ensures data integrity,
high-performance pipelines, and agility
Data pipeline flows can be set up, tested, and packaged for reuse, and can automatically be invoked to operationalize data preparation, and accelerate time to insights.
Data scientists can roll back to previous sets of data, and access any historical version of that data, at the click of a button.
Data engineers use K2View Data Pipelining tools to configure and automatically apply data cleansing, transformations, enrichments, masking, and other steps crucial to high-quality data preparation.
K2View Data Pipelining ingests and delivers data in any data integration method: from batch, to data streaming (Kafka), to CDC (Change Data Capture), and messaging.
K2View Data Pipelining tools dynamically mask sensitive data at the entity level – preserving data integrity, even after masking.
In addition, data is encrypted from the time it is ingested from the source systems to the moment it is served to data lakes and data warehouses, including data at rest.
K2View Data Pipelining is based on the company's Data Product Platform, which supports both operational and analytical workloads, and can be deployed in a data mesh or data fabric – on premises, in the cloud (iPaaS), or across hybrid environments.
It can be deployed in a cluster – close to sources and targets – to reduce bandwidth costs, enhance security, and increase speed.
K2View's modular data pipeline architecture supports massive-scale, hybrid, multi-cloud, and on-premise deployments. It ingests data from all source systems in real time, and delivers it to all types of data lakes and data warehouses.
Get a live demo of the K2View platform to assess its fit for your use cases.
Experience the power and flexibility of the K2View platform with a 30-day trial.
Experience the power and flexibility of the K2View platform with a 30-day trial.
