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About

Prevent data outages by identifying and fixing data quality issues before they get into production. Go from 0 to 100% test coverage of your data pipelines in a day. Know the impact of each code change with automatic regression testing across billions of rows. Automate change management, improve data literacy, achieve compliance, and reduce incident response time. Don’t let data incidents take you by surprise. Be the first one to know with automated anomaly detection. Datafold’s easily adjustable ML model adapts to seasonality and trend patterns in your data to construct dynamic thresholds. Save hours spent on trying to understand data. Use the Data Catalog to find relevant datasets, fields, and explore distributions easily with an intuitive UI. Get interactive full-text search, data profiling, and consolidation of metadata in one place.

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

Data observability platform that helps companies prevent data catastrophes

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 Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

Datafold
United States
www.datafold.com

Company Information

K2View
Founded: 2009
United States
k2view.com

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Categories

Data Observability Supported
Data Quality Supported
DataOps Supported
Regression Testing Supported

Categories

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

Integration Features

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

Integrations

Amazon Redshift Supported
Amundsen Supported
Apache Airflow Supported
Azure Databricks Supported
Azure Marketplace Not Supported
DataHub Supported
GitHub Supported
GitLab Supported
Google Cloud BigQuery Supported
Model Context Protocol (MCP) Not Supported
PagerDuty Supported
PostgreSQL Supported
Salesforce Not Supported
Secoda Supported
Slack Supported
Snowflake Supported
dbt Supported

Integrations

Amazon Redshift Not Supported
Amundsen Not Supported
Apache Airflow Not Supported
Azure Databricks Not Supported
Azure Marketplace Supported
DataHub Not Supported
GitHub Not Supported
GitLab Not Supported
Google Cloud BigQuery Not Supported
Model Context Protocol (MCP) Supported
PagerDuty Not Supported
PostgreSQL Not Supported
Salesforce Supported
Secoda Not Supported
Slack Not Supported
Snowflake Not Supported
dbt Not Supported
Claim Datafold and update features and information
Claim Datafold and update features and information
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Claim K2View and update features and information