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Augmented Data Integration

Leverage AI to accelerate data integration, transformation, and orchestration

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K2view Enterprise Data Integration ToolsData-IntegrationData-Integration-2_Enterprise (1)-1

Continuous data integration and delivery

From any source to any target
at AI speed and scale

Data Integration Tools - Architecture
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Leverage AI to integrate and deliver data from any data source – on-prem or cloud – to any data consumer, using any data delivery method: bulk or reverse ETL, data streaming, data virtualization, CDC, message-based data integration, and APIs. 

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AI automation + active metadata

  • 01 AI automation copilot
  • 02 Pipeline auto-recovery
  • 03 Schema drift prevention
  • 04 Self-optimization

01AI automation copilot

AI automation copilot

Auto-discover and model your data products.
Auto-classify, generate, and document your data pipelines.

AI automation copilot

02Pipeline auto-recovery

Pipeline auto-recovery

Automatically recover your data pipelines after failures without data loss, for seamless data ingestion and integration.

Pipeline auto-recovery

03Schema drift prevention

Schema drift prevention

Auto-detect changes, perform impact analysis, and provide recommendations and actions for continuous integration.

Schema drift prevention

04Self-optimization

Self-optimization

Analyze metadata to continuously improve resilience, optimize data integration performance, and control costs.

Self-optimization

Robust, reusable data integration

Entity-based data integration

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A data product approach

Ingest and deliver data by business entities

K2view takes a data product approach to data integration.
Data engineers create and manage reusable data pipelines that integrate, process, and deliver data by business entities – customers, employees, orders, loans, etc. 

  • The data for each business entity is ingested and organized into its own high-performance Micro-Database.
  • The schema for a business entity is auto-discovered from the underlying source systems.
  • Data masking, transformation, enrichment, and orchestration are applied – in flight – to make entity data accessible to authorized data consumers, while complying with data privacy and security regulations.
Entity-based Data Integration Tools
No-code data integration and transformation tools

Quick and easy

No-code data integration
and transformation

K2view data integration includes no-code tooling for defining, testing, and debugging data transformations to address simple and complex needs, with ease. Data transformation is applied in the context of a business entity, making performance lightning fast, in support of high-scale data preparation and delivery.

  • Basic data transformations 
    Data type conversions, string manipulations, and numerical calculations.

  • Intermediate data transformations 
    Lookup/replace using reference files, aggregations, summarizations, and matching.

  • Advanced data transformations 
    Complex parsing, unstructured data processing, combining data and content sources, text mining, correlations, custom enrichment functions, data validation, and cleansing.

Linear scalability on commodity hardware

Real-time performance
at AI scale

K2view Data Product Platform scales linearly to manage hundreds of concurrent pipelines, and billions of Micro-Databases, in support of enterprise-scale operational and analytical data integration workloads.

  • In-memory computing, patented Micro-Database technology, and a distributed architecture are integrated to deliver unmatched source-to-target data performance. 
  • K2view can be deployed on-prem or in the cloud, in support of a data mesh architecturedata fabric architecture, or data hub architecture.
  • Data pipelining monitoring and control is built in, with observability at the business entity level.
Enterprise-scale data integration tools

Key features and capabilities

Augmented data integration tools for any task

No-code/low-code tooling

Support for every level of data engineering expertise

Connection to any source

Built-in connectors to hundreds of data sources and applications

Any delivery style

Including CDC, ETL, streaming, and messaging

Data virtualization

Data virtualization support, for an easy-to-access logical abstraction layer

Data transformation

Data transformation of unprecedented sophistication

Auto-discovery

Metadata discovery and data classification, for quick implementation

Any data architecture

Data quality

Inflight data quality is enforced by customizable business rules

Deploy anywhere

Support for cloud, hybrid, or on-prem data integration

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Beyond traditional data integration tools

K2view enables authorized data consumers with access
to integrated, trusted data, via any combination of data integration methods.

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Learn more about augmented data integration tools

Next-gen ETL/ELT data integration tools

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Next-gen ETL/ELT data delivery

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TECHNICAL DEEP -DIVE

K2view Data Product Platform

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THE COMPLETE HANDBOOK

Data Products 101: What is a data product, and why you should care

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