Enterprise Data Pipeline.

Make your big data stores analytics-ready, and quicken time to insights, with data products.

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K2View pipeline

Complete, clean, connected data, every time

Data engineers can now pipeline fresh, trusted data, from all sources, to all targets, at enterprise scale.

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Benefit from a complete set of data pipeline tools

Integrate, transform, cleanse, enrich, mask, and deliver data - however and whenever required.

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Ensure data integrity with our patented technology

Entity-based approach guarantees your data is always complete, clean, connected, governed, and up-to-date.

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Productize data pipeline flows for your data teams

Build, certify, and package automated data orchestration flows to be used by your data-consuming teams.

Our unique approach

Data prepared and pipelined
via real-time data products

K2View Data Pipelining
K2View Data Pipelining

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, Data Masking, Test Data Management, Data Migration, Legacy Application Modernization, and more.


Why a data pipeline is necessary


Patented approach to ETL/ELT ensures data integrity,
high-performance pipelines, and  business agility


Accelerate time to insights with data pipeline automation


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 a data pipeline to configure data, and automatically apply data cleansing, transformation, and enrichment – and to employ data masking tools, when needed – within the context of their data preparation tools.

An Enterprise Data Pipeline ingests and delivers data via data integration tools: from batch, to data streaming (Kafka), to CDC (Change Data Capture), and messaging. 


Keep your data safe
and well-governed


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.


Enterprise Data Pipelining

K2View Data-Pipelining-Enterprise
K2View Data-Pipelining-Enterprise

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.

Data pipelining tools and capabilities

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Collect, process, and serve data by business entity

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Ingest and unify data from all sources while ensuring data integrity

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Discover and visualize data lineage with built-in data catalog

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Transform, clean, enrich and mask data via reusable functions

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Encrypt data from source until it is served to the data lake

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Automate and productize data preparation flows

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Deliver data to lakes and DWHs in real time, via a schedule, or on demand

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Deploy hybrid and multi-cloud environments

Learn more about
K2View Data Pipelining

ETL vs. ELT vs. eETL
Make your data lakes and warehouses instantly and always ready for analytics
K2View Enterprise Data Pipeline Product Brief