Sold by: K2view
Data Product Platform for Test Data Management, Synthetic Data Generation, Masking, and Agentic AI
4.6
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
Sold by
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
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 |
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.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
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.
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Jason E.
Effective way to work with distributed data without heavy consolidation
Reviewed on Apr 16, 2026
Review provided by G2
What do you like best about the product?
What I’ve found most valuable about K2View is its ability to work with data across multiple systems without forcing everything into a single centralized layer first. In our case, we’ve been using it to support projects where data needs to be accessed from different services and environments in real time. From both an innovation and delivery perspective, this has made it easier for our teams to design solutions that rely on up-to-date data without adding unnecessary complexity to the architecture. It reduces the need for multiple intermediate integrations and helps streamline how data is exposed to applications and workflows.
What do you dislike about the product?
There is definitely an initial investment in understanding how to best structure the data fabric for your specific use case. Aligning it with existing systems and workflows requires some planning and involvement from technical teams.
What problems is the product solving and how is that benefiting you?
One of the challenges we often face is working with distributed data across different client environments, where accessing consistent and real-time information can be complex.
By using K2View, we’ve been able to simplify how that data is accessed and utilized without needing to replicate it across multiple layers. This has helped improve efficiency in delivery, reduce integration overhead, and make it easier for our teams to build solutions that depend on reliable, real-time data.
By using K2View, we’ve been able to simplify how that data is accessed and utilized without needing to replicate it across multiple layers. This has helped improve efficiency in delivery, reduce integration overhead, and make it easier for our teams to build solutions that depend on reliable, real-time data.
Jonathan R.
K2View Powers a Unified Customer View and Agentic AI Assistance
Reviewed on Apr 15, 2026
Review provided by G2
What do you like best about the product?
We utilize K2View for two primary strategic purposes within our organization:
Customer Data Product Hub: K2View acts as our central data fabric, consolidating and exposing complex information from multiple legacy systems into modern Data Products. These products are integrated directly into Salesforce, giving our representatives a unified, high-performance “single pane of glass” view of the customer while abstracting the complexity of our legacy back end.
Agentic AI Orchestration: We have implemented a full agentic AI workflow within the K2View platform to power our “Smart Representative Assistant.” By leveraging the existing Data Products, we built a personalized orchestration mechanism that allows representatives to query customer data using natural language. The system manages the full lifecycle—from intent analysis and LLM-driven query generation to data retrieval and final response synthesis—so interactions remain highly personalized and context-aware.
Customer Data Product Hub: K2View acts as our central data fabric, consolidating and exposing complex information from multiple legacy systems into modern Data Products. These products are integrated directly into Salesforce, giving our representatives a unified, high-performance “single pane of glass” view of the customer while abstracting the complexity of our legacy back end.
Agentic AI Orchestration: We have implemented a full agentic AI workflow within the K2View platform to power our “Smart Representative Assistant.” By leveraging the existing Data Products, we built a personalized orchestration mechanism that allows representatives to query customer data using natural language. The system manages the full lifecycle—from intent analysis and LLM-driven query generation to data retrieval and final response synthesis—so interactions remain highly personalized and context-aware.
What do you dislike about the product?
As we are currently serving as a beta site for K2View’s new Agentic AI solution, our main challenge is the environment’s current stability. Being at the forefront of this technology involves frequent system upgrades and ongoing adjustments, which can occasionally affect the consistency of our development and testing cycles.
That said, we see this as a natural part of the innovation process for such a pioneering solution. It’s important to note that, despite these early-stage stability issues, we remain highly satisfied with the platform’s core capabilities and the meaningful business value it delivers. We’re confident that as the solution continues to mature, these operational frictions will be addressed.
That said, we see this as a natural part of the innovation process for such a pioneering solution. It’s important to note that, despite these early-stage stability issues, we remain highly satisfied with the platform’s core capabilities and the meaningful business value it delivers. We’re confident that as the solution continues to mature, these operational frictions will be addressed.
What problems is the product solving and how is that benefiting you?
K2View helps us tackle two major architectural challenges in our environment.
Data fragmentation and legacy complexity: Our customer data used to be scattered across multiple legacy silos. K2View addresses this by providing a unified Data Product layer, which lets us expose a consistent 360-degree view of the customer directly in Salesforce. As a result, we can avoid high-risk point-to-point integrations and reduce our reliance on direct access to legacy systems.
Real-time AI contextualization: In a telecom enterprise, implementing GenAI is often slowed down by how hard it is to securely access real-time, personalized data at scale. K2View’s orchestration and micro-DB approach closes this “Context Gap” by enabling us to deliver precise, personalized data products to our LLM models in real time. This capability is the foundational engine behind our Smart Representative Assistant.
Data fragmentation and legacy complexity: Our customer data used to be scattered across multiple legacy silos. K2View addresses this by providing a unified Data Product layer, which lets us expose a consistent 360-degree view of the customer directly in Salesforce. As a result, we can avoid high-risk point-to-point integrations and reduce our reliance on direct access to legacy systems.
Real-time AI contextualization: In a telecom enterprise, implementing GenAI is often slowed down by how hard it is to securely access real-time, personalized data at scale. K2View’s orchestration and micro-DB approach closes this “Context Gap” by enabling us to deliver precise, personalized data products to our LLM models in real time. This capability is the foundational engine behind our Smart Representative Assistant.
vamsi c.
Transformative Data Masking with Easy Setup
Reviewed on Apr 15, 2026
Review provided by G2
What do you like best about the product?
I like K2View for its advanced capabilities in data masking and its AI capabilities to get model data for any enterprise with a simple prompt. It makes my life easier by setting up the environment so I don't have to worry about the databases or the type of data I need to process. I find it very helpful because it works with different types of databases, accommodating both structural and non-structural DBs. What makes it valuable for me is its ability to easily work with non-structural databases and its inbuilt functions for data masking. Additionally, the automated environmental setup is very helpful.
What do you dislike about the product?
K2View as a product can be a bit overwhelming for anyone in general. It can be further simplified with some good video tutorials in my view.
What problems is the product solving and how is that benefiting you?
K2View simplifies my environment setup, handling different databases effortlessly. It streamlines data processing and masking, especially for non-structural databases, with in-built functions. Its automated setup saves time and effort compared to manual methods.
Telecommunications
Coder-Friendly 360 Customer View That’s Easy to Work With
Reviewed on Apr 14, 2026
Review provided by G2
What do you like best about the product?
I like the 360 customer view, and I find it very coder-friendly and easy to work with.
What do you dislike about the product?
As its a new technology, new joiners might take some time to become productive.
What problems is the product solving and how is that benefiting you?
The 360 customer view brings all the data in LUs which increases the efficiency. It makes it easier to develop and test issues.
Telecommunications
Efficient, Reusable Components with a Great UX
Reviewed on Apr 13, 2026
Review provided by G2
What do you like best about the product?
I think the UX is one of its greatest advantages. Being able to integrate many elements into my workflow makes it really efficient to create components with very little code and high reusability.
What do you dislike about the product?
There are too many elements to use, and it isn’t clear what each one is for, which makes the learning curve very steep.
What problems is the product solving and how is that benefiting you?
It could benefit me when I’m working and accessing multiple systems, without risking performance.