Overview
One data product platform for your operational and analytical workloads
If your organization is like most, accessing your enterprise data and putting it to work is a struggle. It's a project - every single time. With K2view, you can package your data into data products for safe, independent use and reuse it for any workload. Your users and apps will gain a trusted and always-fresh view into your customers, products, loans, or anything important to your business.
- Test Data Management
- Data Masking
- Data Pipelining
- GenAI Data Fusion
- Customer 360
- MDM
- Synthetic Data Generation
- Data Migration
- Data Tokenization
- Operational Intelligence
Reusable, scalable, and reliable data products K2view data products package data with everything needed for your authorized consumers to use it for whatever the use case.
K2view data products will allow you to:
- Hide the complexities of your underlying sources
- Forge a common language between business and IT
- Democratize data access
- Protect your data for authorized use
- Elevate user trust in your company's data
Contact our sales team at marketplace@k2view.com to get a custom private offering based on your use case.
Highlights
- One integrated platform. Many use cases. Build and deploy generative data products quickly and reuse them to power your workloads. Enterprise Data, RAG, Synthetic Data Generation, Test Data Management, Customer 360, Cloud Migration, Data Protection
- Generative data products power workloads With K2view, you can effortlessly build, test, deploy, and monitor AI-powered data products. Whip up reusable data products in a flash by packaging multi-source datasets with everything needed for their independent, safe use - to power your AI, operational, and analytical workloads.
- Micro-Databases take on any question. Generative data products organize your fragmented data into 360 views of your business entities, like customers, loans, and products - each in its own Micro-Database(tm). A Micro-Database is essentially a data lake of one. With millions of Micro-Databases managed simultaneously, every user query gets a precise, personalized, split-second response.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/12 months |
|---|---|---|
Custom Private Offer - K2view Data Product Platform - SaaS | Starts at $120,000 annually. Contact marketplace@k2view.com for a private offer. | $120,000.00 |
The following dimensions are not included in the contract terms, which will be charged based on your usage.
Dimension | Cost/unit |
|---|---|
per K2view usage credit | $0.01 |
per 100k Micro-DB create/update data ops | $4.00 |
per 100k Micro-DB consume data ops | $2.00 |
per 1GB stored Micro-DB data | $0.50 |
per 1GB transferred Micro-DB data | $0.11 |
per dev environment | $100.00 |
per production environment | $800.00 |
Vendor refund policy
Refunds are subject to the terms of the purchase order.
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Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Customer reviews
Effective platform for managing compliant data workflows
We regularly use the platform for preparing structured datasets for testing and development environments. The self-service provisioning portal helps reduce manual coordination between teams, and the built-in data classification tools support governance and compliance requirements.
Another benefit has been the ability to move compliant data between environments more efficiently, which helps keep development and testing workflows moving without delays.
Documentation is helpful overall, but additional examples and visual guides would make it easier for new teams to get familiar with the platform. More self-service training resources would also be beneficial for organizations adopting the product for the first time.
With K2View, we can provision and manage compliant data in a more automated and structured way. This has reduced manual preparation time and improved consistency across environments. As a result, development and testing workflows are more efficient and easier to manage.
Helpful for organizing and managing data across systems
The self-service provisioning is useful because it reduces the amount of manual work required to prepare data. We’ve also found the built-in classification features helpful for keeping data organized and ensuring that information is handled properly.
Another benefit is the ability to prepare compliant datasets more quickly for testing or internal processes. This has helped streamline some of the work that used to take more coordination.
It would be helpful to see more simplified documentation and step-by-step examples. Additional visual guides or onboarding materials could make it easier for smaller teams to learn the platform.
With K2View, we’re able to access and prepare structured data in a more consistent and controlled way. This has reduced the amount of manual preparation required and improved efficiency when working across different environments. As a result, teams can focus more on the actual work rather than managing data.
A practical tool for organizing and preparing data
The self-service portal is also helpful because it allows teams to access and provision data without relying on constant manual requests. We’ve also found the built-in data classification useful for keeping data organized and ensuring that information is handled properly.
Another benefit is the ability to prepare compliant datasets more quickly for testing or internal projects. It has helped make the overall process more structured and predictable.
The documentation is useful but could include more examples and visual walkthroughs to help new users learn faster. Additional self-service training resources would also make it easier for smaller teams to adopt the platform.
With K2View, we can access and prepare structured data in a more controlled and organized way. This has reduced manual effort and improved consistency across environments. As a result, projects that depend on reliable data move forward more smoothly and with fewer delays.
Helped us organize and manage our data more efficiently
The ability to provision structured, compliant data through a more streamlined process has reduced manual steps for our team. We’ve also found the classification and governance features helpful for keeping information organized and consistent across environments.
One unexpected benefit has been how much time it saves when preparing data for testing or system updates. It has reduced the back-and-forth that used to slow things down.
Now, we’re able to access and manage data in a more organized and consistent way. This has reduced manual preparation time and improved workflow efficiency. As a result, we spend less time managing data and more time focusing on running the business.
k2view is Helpful for organizing and preparing data across systems
We use the platform mainly for preparing and managing data in testing and operational environments. The self-service provisioning approach helps reduce manual steps when teams need access to structured, compliant data. Built-in classification and governance controls also provide more confidence that data is handled consistently.
Another benefit has been improved efficiency when preparing data for internal use, which has reduced delays caused by manual coordination between systems.
Training materials are helpful but would benefit from more practical examples and clearer visual guidance. Additional simplified onboarding resources would make it easier for smaller organizations to get started.
With K2View, we can access and prepare structured data in a more controlled and consistent way. This has reduced manual work and improved turnaround time for internal requests. Overall, it has made data handling more organized and predictable for our operations.