Related Products
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About
Our automated data operations platform will allow businesses to reduce or reallocate the number of full-time employees needed to support their data operations. This is traditionally a very manual and expensive process, and our product packages it all together to simplify the process and significantly reduce costs. With so much problematic data in business, most companies cannot give appropriate attention to the quality of their data because they are too busy processing it. By using our product, you automatically become a proactive business when it comes to data quality. With clear visibility of all incoming data and a built-in alerting system, our platform ensures that your data quality standards are met. We are a first-of-its-kind solution that has taken many costly manual processes and put them into a single platform. The BettrData.io platform is ready to use after a simple installation and several straightforward configurations.
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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.
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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
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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
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Audience
Companies wanting a highly-automated, flexible, multi-sourced data operations platform
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Audience
Data engineers, data architects, data scientists, data testers, CIOs and business leaders
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Pros & Cons from Real UsersPros
Cons
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationBettrData
Founded: 2020
United States
bettrdata.io
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Company InformationK2View
Founded: 2009
United States
k2view.com
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Alternatives |
Alternatives |
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Categories |
Categories |
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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
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Integrations
Azure Marketplace
Not Supported
Databricks
Supported
Model Context Protocol (MCP)
Not Supported
Salesforce
Not Supported
Snowflake
Supported
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Integrations
Azure Marketplace
Supported
Databricks
Not Supported
Model Context Protocol (MCP)
Supported
Salesforce
Supported
Snowflake
Not Supported
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