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About

Data arrives from every direction, growing in scale and complexity. Hidden in the data is knowledge and insight that is full of potential. Such potential is only fully realized when it permeates through to every decision and action the organization takes, second by second. As the business changes, so does the data itself, resulting in new knowledge and insight. A cycle is formed, learn and adapt. Industries as far ranging as financial services, healthcare, telecommunications, manufacturing, transportation, and entertainment have recognized the opportunity. Getting there is both challenging and exciting. Success demands new levels of speed and agility in understanding, managing, and processing vast amounts of continuously changing data. Complex organizations require a high performance data platform that is built for automation and self-service, that thrives amid change and adapts to new realities, and that can solve the toughest data processing and data management challenges.

About

At K2View, we believe that every enterprise should be able to leverage its data to become as disruptive and agile as the best companies in its industry. We make this possible through our patented Data Product Platform, which creates and manages a complete and compliant dataset for every business entity – on demand, and in real time. The dataset is always in sync with its underlying sources, adapts to changes in the source structures, and is instantly accessible to any authorized data consumer. Data Product Platform fuels many operational use cases, including customer 360, data masking and tokenization, test data management, data migration, legacy application modernization, data pipelining and more – to deliver business outcomes in less than half the time, and at half the cost, of any other alternative. The platform inherently supports modern data architectures – data mesh, data fabric, and data hub – and deploys in cloud, on-premise, or hybrid environments.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Organizations in need of a data platform to optimize, automate and manage their data processing operations

Audience

Data engineers, data architects, data scientists, data testers, CIOs and business leaders

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 3.0 / 5
ease 4.0 / 5
features 5.0 / 5
design 5.0 / 5
support 4.0 / 5

Pros & Cons from Real Users

Pros

  • 1.Great integration fast 1-2 months instead of a year . 2.good performance due to clustering(cassandra) 3.In memory data management 4. Standard SQL to query data 5.Good scalability 6.New and efficient ETL solution

Cons

  • 1.solution cost at least 1M $! 2.k2view uses it's own deployment team.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Ab Initio
Founded: 1995
United States
www.abinitio.com/en/

Company Information

K2View
Founded: 2009
United States
k2view.com

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Semarchy xDI

Semarchy xDI

Semarchy
IRI DarkShield

IRI DarkShield

IRI, The CoSort Company
Delphix

Delphix

Perforce
dbt

dbt

dbt Labs

Categories

Categories

Data Fabric Features

Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management

Data Management Features

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Integration Features

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Integrations

Azure Marketplace
DataHawk
Impetus
Model Context Protocol (MCP)
Salesforce

Integrations

Azure Marketplace
DataHawk
Impetus
Model Context Protocol (MCP)
Salesforce
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Claim Ab Initio and update features and information
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