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About

Datafi provides a unified data platform for business teams. It integrates data siloes, it unifies data security and it enables self-service data workflows for the unique requirements of business users to easily find, use, and share the business information they need. Customers deploy Datafi to expand their organization’s data capabilities and empower more people to make fast and better data-driven decisions. With Datafi, data anywhere is easily accessible and meaningful for everyone. Know for sure how your data is accessed and how your data is used. Data-forward organizations know the value of enabling their data to drive new business outcomes, this starts with enabling data access in a simple and secure way. Novel uses of business data can drive new business outcomes and organizations that increase their data literacy are more likely to discover the data-driven insights that create new outcomes to better serve their customers.

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 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

Business teams interested in a solution to get insights and make better decisions

Audience

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

Support

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

Support

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

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$0.005 per query
Free Version 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 Supported
Webinars Not Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

Datafi
United States
datafi.us

Company Information

K2View
Founded: 2009
United States
k2view.com

Alternatives

Alternatives

erwin Data Intelligence

erwin Data Intelligence

Quest Software
Denodo

Denodo

Denodo Technologies
IRI DarkShield

IRI DarkShield

IRI, The CoSort Company
Delphix

Delphix

Perforce
Y42

Y42

Datos-Intelligence GmbH
dbt

dbt

dbt Labs

Categories

Data Catalog Supported
Data Management Supported

Categories

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

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

Integration Features

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

Integrations

Salesforce Supported
Amazon Aurora Supported
Amazon Redshift Supported
Amazon S3 Supported
Amazon Web Services (AWS) Supported
Apache Synapse Supported
Azure Marketplace Not Supported
Databricks Supported
Google Cloud Platform Supported
Jupyter Notebook Supported
MariaDB Supported
Microsoft Azure Supported
Microsoft Dynamics 365 Supported
Model Context Protocol (MCP) Not Supported
MongoDB Supported
MySQL Supported
NetSuite Supported
Oracle Cloud Infrastructure Supported
Snowflake Supported
Workday Extend Supported

Integrations

Salesforce Supported
Amazon Aurora Not Supported
Amazon Redshift Not Supported
Amazon S3 Not Supported
Amazon Web Services (AWS) Not Supported
Apache Synapse Not Supported
Azure Marketplace Supported
Databricks Not Supported
Google Cloud Platform Not Supported
Jupyter Notebook Not Supported
MariaDB Not Supported
Microsoft Azure Not Supported
Microsoft Dynamics 365 Not Supported
Model Context Protocol (MCP) Supported
MongoDB Not Supported
MySQL Not Supported
NetSuite Not Supported
Oracle Cloud Infrastructure Not Supported
Snowflake Not Supported
Workday Extend Not Supported
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