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About

For years, enterprises have been promised useful tools for application modernization, digital product development, and no-code/ low-code. But these promises have not been kept. Instead, enterprises got a thousand disjointed point solutions, that don't scale, and ended up captive to proprietary languages and fixed vendor solutions. Enterprise customers face an urgent need to modernize, with ~80% of IT budgets locked up in maintaining old legacy systems. They demand fast integrations with simplified, lower-cost implementations. There is tremendous competition. Securing market share is hard enough. Growing is significantly harder. Enterprises need to build complex omnichannel digital products that provide an excellent user experience. People are sick and tired to be locked into proprietary programming languages, with compounding vendor fees and add-ons. Large enterprises need the freedom to build and extend easily their digital platforms.

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 Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies searching for a development platform to build amazing digital apps

Audience

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

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

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

This software hasn't been reviewed yet. Be the first to provide a review:

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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 Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

FlowX.AI
Founded: 2020
United States
www.flowx.ai/

Company Information

K2View
Founded: 2009
United States
k2view.com

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dbt

dbt

dbt Labs

Categories

Categories

Integration Features

Dashboard Not Supported
ETL - Extract / Transform / Load Supported
Metadata Management Not Supported
Multiple Data Sources Not Supported
Web Services Not Supported

Data Fabric Features

Data Access Management Not Supported
Data Analytics Not Supported
Data Collaboration Not Supported
Data Lineage Tools Supported
Data Networking / Connecting Supported
Metadata Functionality Supported
No Data Redundancy Not Supported
Persistent Data Management Not Supported

Data Management Features

Customer Data Not Supported
Data Analysis Not Supported
Data Capture Not Supported
Data Integration Supported
Data Migration Supported
Data Quality Control Not Supported
Data Security Not Supported
Information Governance Not Supported
Master Data Management Supported
Match & Merge Not Supported

Integrations

Azure Marketplace Not Supported
Model Context Protocol (MCP) Not Supported
Salesforce Not Supported

Integrations

Azure Marketplace Supported
Model Context Protocol (MCP) Supported
Salesforce Supported
Claim FlowX.AI and update features and information
Claim FlowX.AI and update features and information
Claim K2View and update features and information
Claim K2View and update features and information